For the last 13+ years, I’ve helped startups and companies grow their revenue by building scalable web apps, enterprise-grade .NET systems, AI automation, Shopify, E-Commerce and market-competitive MVPs with eye catching UI/UX. ✅ Top 10% Full Stack Developer ✅ 90%+ Client Success Score ✅ 250+ Projects Delivered Successfully ✅ $60,000+ Earned on Upwork Here’s what I deliver: ✔️ Full-Stack SaaS & Web Development (React, Next.js, Node.js, .NET Core) – Modern SaaS apps and dashboards using React.js, Next.js, Node.js, ASP.NET Core, with real-time features, APIs, and third-party integrations. ✔️ Enterprise .NET Applications & APIs – High-performance ASP.NET MVC / .NET Core applications, secure Web APIs, microservices, and scalable backend systems for business-critical platforms. ✔️ AI Automation & Agentic Workflows – Multi-step pipelines, task orchestration, and agentic decision-making with n8n, Make, and AI-powered workflow systems. ✔️ AI Calling & Voice Agents – Smart voice assistants for sales, healthcare, support, and follow-ups, powered by OpenAI, Gemini, Claude, Grok, DeepSeek. ✔️ E-commerce & AI Solutions – Intelligent online stores with automated workflows, personalized recommendations, and customer engagement systems. ✔️ Healthcare & Fitness Applications – AI health assistants, fitness trackers, and HIPAA-compliant healthcare platforms with intelligent automation. ✔️ Crypto Trading Bots & Automation – AI-powered bots, strategy automation, and real-time monitoring dashboards for crypto trading. ✔️ Databases & Backend Optimization – Reliable, high-performance backend systems using SQL Server, MongoDB, and MySQL, optimized for scalability and maintainability. 🌟 Recent Client Feedback: "Usman delivered high-quality results on time and met all requirements. I highly recommend him for ReactJS and frontend development work." 💬 Let’s book a FREE consultation call to discuss your project. I’ll share a custom AI, .NET, or SaaS roadmap to help you launch faster.

⭐⭐⭐⭐⭐ 5.0 ★ Upwork Rating | 100% Job Success | 20+ Delivered AI Projects 𝐒𝐭𝐫𝐮𝐠𝐠𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐦𝐞𝐬𝐬𝐲 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐬, 𝐫𝐞𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐭𝐚𝐬𝐤𝐬, 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐨𝐫 𝐯𝐨𝐢𝐜𝐞-𝐝𝐫𝐢𝐯𝐞𝐧 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧? I help businesses transform operations by building intelligent, scalable AI solutions that extract, automate, and generate insights from your data—fast and at scale. From cutting-edge OCR and document AI pipelines that convert unstructured documents into clean, actionable data, to advanced generative AI, N8N, and VoiceAI systems that automate workflows, build autonomous AI agents, and power custom chatbots, I deliver end-to-end solutions tailored to your unique needs. 🏆 𝐑𝐞𝐜𝐞𝐧𝐭 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬 ◆ 𝐏𝐨𝐬𝐭-𝐀𝐜𝐮𝐭𝐞 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: Extracted critical data from complex patient admission PDFs to streamline Skilled Nursing Facility (SNF) workflows — improving speed and accuracy in the intake process. ◆ 𝐋𝐞𝐠𝐚𝐥𝐓𝐞𝐜𝐡 – 𝐀𝐈 𝐂𝐨𝐧𝐭𝐫𝐚𝐜𝐭 𝐑𝐞𝐯𝐢𝐞𝐰 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭: Built a GPT-4-powered assistant with RAG and vector search that analyzes contracts, extracts clauses, and answers legal questions in plain English—cutting review time by 70% for a legal team. ◆ 𝐒𝐚𝐚𝐒 – 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐈 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐀𝐠𝐞𝐧𝐭: Developed an autonomous GPT chatbot integrated with the client’s knowledge base and CRM via LangChain + Pinecone—handling 80% of customer queries without human escalation. ◆ 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 – 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐂𝐨𝐩𝐢𝐥𝐨𝐭: Created a private AI agent using RAG to search thousands of internal docs, reports, and PDFs—helping analysts surface insights 10x faster across multiple teams. ◆ 𝐞𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 – 𝐋𝐋𝐌-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰: Automated product onboarding by integrating GPT-4 with supplier emails, spreadsheets, and APIs—streamlining a previously manual process end-to-end using n8n. ⚙️ 𝐖𝐡𝐚𝐭 𝐈 𝐇𝐞𝐥𝐩 𝐘𝐨𝐮 𝐖𝐢𝐭𝐡 ◆ 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: I build autonomous AI agents that handle real tasks—like support, lead gen, and internal ops—without human input. These agents retrieve data, make decisions, and take action, helping you save time, cut costs, and scale faster. ◆ 𝐀𝐈 & 𝐍𝟖𝐍 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: AI-powered automation workflows to streamline complex business processes. These workflows reduce manual effort, eliminate bottlenecks, and keep your operations running on autopilot. ◆ 𝐑𝐀𝐆-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬: Custom AI chatbots powered by LLM and Retrieval Augmented Generation (RAG), connected to your internal knowledge—PDFs, Notion, websites, or databases. Using vector search, these bots deliver accurate, context-aware responses across your web, mobile, or internal platforms. ◆ 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: Design and implement fully automated document pipelines — from ingestion to output — using OCR, Document AI, and LLMs. No more manual processing, sorting, or data entry. ◆ 𝐒𝐞𝐜𝐮𝐫𝐞 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 𝐃𝐚𝐭𝐚 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠: Handle sensitive documents with care. I follow industry best practices for privacy, encryption, and compliance (HIPAA, GDPR, etc.), ensuring your data is protected at every step. ◆ 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: I deliver Dockerized, cloud-native GenAI systems that run reliably on AWS, GCP, Azure, or serverless platforms—fully integrated with your APIs, databases, CRMs, and SaaS tools for real-world, production-grade performance. 🛠️ 𝐀𝐈 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 ◆ Programming & Automation: Python • Node.js • FastAPI • Flask • LangChain • LlamaIndex ◆ AI, CV & Deep Learning: TensorFlow • PyTorch • OpenCV • YOLO • Deep Learning ◆ LLMs & Generative AI: GPT • Claude • Gemini • LLaMA • DeepSeek • Grok • Prompt Engineering • Retrieval-Augmented Generation (RAG) ◆ OCR & Document Intelligence: Tesseract OCR • Paddle OCR • AWS Textract • Azure Form Recognizer • Google Document AI ◆ RAG & Vector Search: Pinecone • FAISS • Chroma • Weaviate • Supabase Hybrid Search ◆ Automation & Orchestration: n8n • LangGraph • CrewAI • Custom Python Pipelines ◆ Deployment & Cloud: Docker • AWS Lambda • Amazon SageMaker • Google Cloud Run • Azure Functions • Serverless Architectures ◆ Data Handling & Integration: REST APIs • JSON • SQL • NoSQL • PDF Extraction • Google Sheets • Webhooks 🏅 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 ◆ Proven track record delivering production-grade AI automation and data extraction solutions. ◆ Deep expertise in document intelligence, generative AI, and VoiceAI-powered automation. ◆ Strong focus on data security, privacy, and compliance. ◆ Clear communication, on-time delivery, and a partnership approach to every project. ◆ Solutions built to scale with your business, saving you time and cutting costs. 📩 Send me a message today and let's bring your AI product to life!

➤ 10+ Years Experienced Software Professional ➤ Top Rated Plus ➤ 11000+ Hours ➤ 60+ Jobs ➤ B. E. Computer Engg. (Saurashtra University, Rajkot) Specialty ○ PHP | Laravel | WordPress ○ Laravel Expertise with Auth, AI SDK, DB ORM, Migrations, Routing, Validations, Queues, Testing ○ Laravel Cloud | Laravel Forge for Deployment and Server Management ○ Laravel NightWatch for monitoring Laravel Apps ○ ReactJS | Redux | VueJS | InertiaJS | Svelte ○ MySQL | PostgreSQL | MongoDB | SQLite ○ HTML | CSS | JavaScript | TailwindCSS | BootStrap Ai Specific ○ Claude Code | ChatGPT Codex | Google antigravity ○ Cursor | Visual Studio Code ○ Ai Integration with ChatGPT, Gemini, Grok, Claude, Perplexity ○ API Integration for any AI Tools and Services Mobile App Development Stack ○ ReactNative | NativePHP | Laravel | Reactjs Others: ○ Git | BitBucket | Jira | Trello | Notion ○ AWS | UpCloud Industry: ○ Financial Services and FinTech Solutions ○ Healthcare Services and HealthTech Solutions ○ eCommerce and MarketPlace Solutions ○ Education Services and EdTech Solutions ○ Real Estate Services and PropTech Solutions ○ Ai Driven Platform Development ○ onDemand Solutions Need a right-fit for the job? Feel free to invite me for an interview.

I help home service businesses, medical clinics, and agencies capture lost revenue by building 24/7 AI Voice Agents that answer calls, qualify leads, and book appointments directly into your calendar. Most businesses don’t have a lead problem, they have a response-time and follow-up problem. Every missed call after hours, slow callback, or manual scheduling back-and-forth reduces your conversion rate. I solve this by building human-sounding AI Receptionists that work inside your real business workflows, connecting cleanly to your CRM, forms, pipelines, and backend tools. I build systems designed for real business use, not fragile demo bots. What I Build & Automate 24/7 Inbound AI Receptionists: Natural-sounding agents that handle FAQs, route calls, and book appointments directly into GoHighLevel or Google Calendar. Outbound Speed-to-Lead Agents: Automated systems that call new web leads within 60 seconds to qualify them and secure the booking. Post-Call Automation: Automatic call logging, CRM tagging, call summaries, and triggered SMS follow-up sequences. Missed-Call Recovery: Instant text-back systems to capture leads when lines are busy. The Technical Stack I integrate specialized voice platforms with your existing infrastructure to ensure zero latency and flawless data syncing: Voice & AI Platforms: Vapi, Retell AI, Twilio, ElevenLabs, OpenAI/Claude API. CRM & Pipeline Management: GoHighLevel (GHL) Native Voice & API integrations, HubSpot. Workflow Automation: Make com, n8n, Zapier, Webhooks, custom API routing. The Process Scope: We map your specific call flow, objection handling, and business logic. Build: I engineer the conversational AI prompt to prevent hallucinations and keep the agent on script. Integrate: The agent is wired into your calendar and CRM to update live data in real-time. Refine: We test the workflow to ensure a natural, latency-free experience before launching. Let's Build Your System If you need a reliable, scalable Voice AI system that actually drives revenue, send me a message with: Your business type and target audience Your current CRM and booking software What you want automated (Inbound, Outbound, or both) I’ll review your setup and suggest the most practical, high-ROI approach for your business.

Hi, I'm Mahnoor, a Senior AI Engineer with 6+ years shipping production AI for startups and enterprises. I build agentic automations, multi-agent systems, custom MCP servers, and RAG pipelines across Claude, GPT, Gemini, Llama, Mistral, and Qwen, matched to each project's cost, privacy, and performance needs. I've delivered 30+ AI projects for startups, SMEs, and enterprises across the US and Europe. My work cuts manual operations 30 to 60%, saves teams 15+ hours a week, and turns AI prototypes into systems that run in production. Most clients stay long term because I treat their outcomes as my own. What I ship for clients: 🤖 Multi-Agent Systems That Run Themselves Not chatbots. Real agents that take action. Recent SaaS build: one agent reads incoming emails, another drafts replies from past conversations, a third updates the CRM, and a fourth posts a daily Slack summary running 24/7 without supervision. Team got 20+ hours/week back. 🔌 Custom MCP Servers I connect Claude and ChatGPT directly to the tools your team uses: Slack, Gmail, Jira, Notion, HubSpot, Salesforce, and Drive. A recent Claude MCP build handles 70% of one client's internal coordination: assigning Jira tickets from Slack, summarizing email threads, and pulling docs on request. 📧 Inbox Automation A full triage system for a FinTech client: reads every email, classifies it (lead/support/invoice/spam), drafts context-aware replies for high-priority ones, books meetings via calendar invites, logs everything to HubSpot, and escalates urgent issues to Slack. Team stopped manually sorting 200+ emails/day. 💬 Slack Workflow Automation Smart notifications, not noise. I built a system monitoring GitHub PRs, Jira tickets, support queues, and sales pipeline sends one prioritized morning digest per team lead instead of 80 random pings. Went from "muted channel" to daily standup replacement. 📚 Production RAG Systems Not demo RAG. Real ones with hybrid search, re-ranking, evaluation, and GraphRAG when the data needs it. Built one for a healthcare client to search 50,000+ patient records and clinical notes, cutting review time by 60%. Multilingual support included. 🎙️ Voice AI Agents Human-sounding AI for real phone calls inbound and outbound. Use cases I've built: calling leads within 60 seconds of a form submission, booking appointments straight into your calendar, following up with no-shows, and handling first-line support. Fully CRM-integrated. 🌐 Full-Stack AI Web Applications When you need the whole product, not just the AI backend. I build frontend, backend, database, auth, payments, and dashboards with the AI layer on top. Recent example: full SaaS with chat interface, Stripe billing, admin panel, and a Claude-powered agent shipped in 6 weeks. 🏢 SAP B1 + AI Layer AI and automation on SAP B1 for SMEs invoice/PO processing, sales orders from email or WhatsApp, Shopify/WooCommerce sync, and AI agents that answer stock queries directly from B1 Recent wins: ✅ Healthcare AI pipeline → 60% faster patient record review ✅ FinTech automation → 15 hrs/week saved, paid for itself in 30 days ✅ SaaS CRM chatbot → 40% lift in lead response rate ✅ Claude MCP system → handles 70% of one team's coordination ✅ Full-stack SaaS launch → shipped in 6 weeks ✅ SAP B1 invoice automation → eliminated 12 hrs/week of manual entry Core stack: LLMs: Claude (Opus 4.7, Sonnet 4.6, Haiku 4.5), GPT, Gemini, Grok, Llama 3, Mistral, DeepSeek, Qwen. Agentic Frameworks: LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, Semantic Kernel, Pydantic AI, DSPy, MetaGPT, Haystack, MemGPT, LangChain, LlamaIndex, RASA Pro. Claude Stack: Claude Code, Claude Skills, Claude SDK, Claude Managed Agents, Claude Projects, Computer Use. MCP: Slack, Jira, Google Drive, Gmail, Outlook, Notion, Asana, Linear, ClickUp, GitHub, HubSpot, Salesforce, Teams. Voice AI: VAPI, Retell, ElevenLabs, Whisper, Deepgram. Python: FastAPI, Django, Flask, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, Scrapy. Vector DBs: Pinecone, Weaviate, Milvus, Qdrant, FAISS, Chroma, Neo4j. Cloud: AWS, GCP, BigQuery, PostgreSQL, MongoDB, Redshift. MLOps: Docker, Kubernetes, MLflow, BentoML, CI/CD, LangSmith. Automation: N8N, Make, Zapier, Notion API. Frontend (when full product is needed): Next.js, React, Tailwind. You'll get the most out of working with me if you: ✓ Have an AI prototype that needs to become production-ready, or want automation that truly replaces manual work ✓ Need the full product built (frontend, backend, AI, integrations) or run on SAP B1 and want it AI-enabled ✓ Value a long-term technical partner over a one-off coder Thanks for reading this far. If you want AI that ships, automation that sticks, and a partner who actually owns the outcome, let's build something. Hit the green "Invite to Job" button. 𝑷.𝑺. From a recent client: "𝑇ℎ𝑒 𝑎𝑢𝑡𝑜𝑚𝑎𝑡𝑖𝑜𝑛 𝑀𝑎ℎ𝑛𝑜𝑜𝑟 𝑏𝑢𝑖𝑙𝑡 𝑠𝑎𝑣𝑒𝑑 𝑜𝑢𝑟 𝑡𝑒𝑎𝑚 15 ℎ𝑜𝑢𝑟𝑠 𝑎 𝑤𝑒𝑒𝑘 𝑎𝑛𝑑 𝑝𝑎𝑖𝑑 𝑓𝑜𝑟 𝑖𝑡𝑠𝑒𝑙𝑓 𝑤𝑖𝑡ℎ𝑖𝑛 𝑎 𝑚𝑜𝑛𝑡ℎ."

I am a senior database, data architecture, and BI consultant with 42 years of experience designing business systems, databases, data warehouses, integrations, and analytics solutions across industries such as retail, SaaS, healthcare, asset management, banking, manufacturing, services, e-commerce, and finance. My strongest value is connecting business needs with reliable technical architecture. I help clients move from scattered data, fragile reports, and manual processes to analytical environments that are fast, reliable, maintainable, and ready for BI or AI. Core strengths • Database architecture, SQL, performance tuning, and data modeling • Data warehouse design, ETL/ELT, and automated data pipelines • Power BI dashboards, semantic models, DAX, and Power Query • BigQuery, SQL Server, SingleStore, PostgreSQL, MySQL, Oracle, and Microsoft Fabric • Python, APIs, Google Cloud, AWS, Azure, and cloud-based data workflows • KPI definition, metric validation, executive reporting, and AI-ready data layers Unlike many dashboard-focused consultants, I come from a deep database and systems background. I design the structure behind the report: schemas, relationships, ETL routines, indexing strategy, validation rules, semantic models, and performance optimization. This helps clients avoid fragile dashboards built on messy data and instead create a solid data foundation for reporting, analytics, and AI. AI-ready data architecture Many companies try to connect AI directly to raw databases, but that often creates slow, expensive, and unreliable answers. My approach is different: I build governed analytical layers where definitions, relationships, KPIs, and business rules are explicit. This improves trust, reduces cost, increases performance, and allows AI to work with business-approved metrics rather than guessing from raw tables. Recent project examples - Database Performance / DBA Leadership I am responsible as DBA and Database Lead for a massive infrastructure using SingleStore and SQL Server, working at billion-record scale with the responsibility to deliver query results in less than 1 second. This involves database design, indexing strategy, stored procedures, and continuous optimization of high-volume workloads. - AI-Connected Semantic Model with Power BI and Claude I designed a cloud-based analytical solution using Cloud Run, Python, GitHub/Artifacts, Cloud Scheduler, BigQuery, and Power BI semantic models, enabling Claude to connect to governed business data. The solution included specialized skills to query the semantic model, respect business rules, and provide accurate answers with high performance and data reliability. - AI Data Enrichment on Google Cloud I designed and implemented a serverless AI enrichment pipeline using Google Cloud Run, Cloud Tasks, Cloud Scheduler, Python, and BigQuery. The client needed to enrich millions of company records using GROK AI within a tight processing window while controlling BigQuery costs. The result was millions of enrichment tasks completed within SLA, stable throughput, structured validation, and more than 90% reduction in BigQuery costs. - IoT Data Aggregation with BigQuery I built a Google Cloud solution to collect high-frequency sensor data from thousands of sensors through an API every three minutes. The architecture used Cloud Run, Python, GitHub/Artifacts, Cloud Scheduler, and BigQuery, creating an automated and scalable data warehouse process running for months without manual intervention. - SaaS Product Analytics For a SaaS company, I transformed complex Firebase / Firestore JSON data into structured analytical tables in BigQuery. I created the ETL routines, designed the analytical foundation, and delivered Power BI dashboards for product usage, engagement, trial behavior, feature adoption, and conversion analysis. - Retail Operations Reporting I built an automated reporting system for a large restaurant chain, processing POS data with Python ETL, cloud automation, AWS infrastructure, and Power BI applications. The system delivered daily KPI reporting for sales, revenue, labor, service times, customer behavior, and operational performance. - Asset Management Analytics I developed a portfolio monitoring solution using Python ETL, Reorg API, AWS, database design, and Power BI. The solution tracked liquidity, EBITDA, leverage, and other investment KPIs, giving the client daily updated information for portfolio analysis and decision-making.

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous agents built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

I’ve been building software for over 35 years, and if there’s one thing I’ve learned, it’s this: great code isn’t enough. What matters is creating apps that actually work for people — apps that save time, make life easier, and feel effortless to use. That’s where I come in. I have experience building web, mobile, and Windows apps, from idea through finished product. I’ve worked with C#, C++, PHP, Python, Java, JavaScript, Swift, Kotlin, HTML5, CSS3, Angular, React, ASP.NET, Blazor, Xamarin, MAUI, Uno Platform, React Native, WPF, UWP, Node.js, and more. I’m comfortable working across different platforms, tech stacks, and project types to help turn ideas into working software. What I Bring to the Table - I have 4+ years of experience adding AI features to apps using Azure OpenAI, OpenAI, Anthropic, Fireworks, Hugging Face, OpenRouter, and xAI. I work with custom agents, orchestration, tool harnesses, Text-to-Speech, Speech-to-Text, text-to-image, text-to-video, chat, and other AI features that help businesses automate tasks, improve support, and make smarter decisions. I also use AI development tools like GitHub Copilot, Claude Code, Codex, OpenCode, Grok Build, Warp.dev, Kilo Code, and Cursor AI to work efficiently and choose the right tool for each project. - AI quality & evaluation experience: I’ve reviewed and evaluated large volumes of AI-generated text and video content, identifying inaccuracies, hallucinations, bias, and guideline violations, and providing structured feedback to improve output quality and consistency. - Prompt and validation optimization: I improve AI reliability by refining prompts, validation logic, skills, and review workflows, reducing rework and making AI outputs more dependable in real-world applications. - Testing that catches what others miss: Selenium, Postman, Appium, NUnit, xUnit, MSTest, Cypress, XCUITest, JMeter — I’ve set up both unit and UI automation across multiple platforms. - Databases that scale: MS SQL, PostgreSQL, MySQL, SQLite, DynamoDB, MongoDB, Oracle. I design, optimize, and keep them running fast. - I have experience with Azure, AWS, Google Cloud, and Oracle Cloud, including building and maintaining deployments with Azure DevOps, TeamCity, GitHub, AWS Lambda, Docker containers, Kubernetes, and integrated services across multiple providers. - Integrations that “just work”: From QuickBooks Online, Twilio, Dynamics, AI Providers, UPS/FedEx, merchant gateways, logistics systems, IoT, production scanners, Logistics, IOT, veterinary systems, and even aircraft engine data — I’ve connected it all. Real performance wins: I’ve taken processes from 39 hours down to 2, 30+ minutes down to 2–3, 14 hours down to 20 minutes, and others from days to mere minutes. Optimizing systems is one of my favorite challenges. The Projects I’ve Loved Most: - LMS mobile apps for learning on the go - Sports stats tracking apps for basketball, baseball, soccer, and football - Enterprise systems for Associations, MLM, manufacturing and more - QA testing software that helps teams automate and catch bugs early - App store setup and deployment — getting apps live on iOS and Android without the headaches - Mobile scanning apps for warehouses and delivery teams - Restaurant and mail-order systems - Vet apps across multiple platforms - Web portals for clients - Production line integrations that track, scan, and sync in real-time And through it all, I’ve kept one promise: clear communication and transparency. You’ll always know where your project stands, what’s been done, and what’s next. Whether you need a cross-platform app, a cloud + AI solution, or a system overhaul that saves serious time, I can help. Let’s build something that works better than you imagined.

You built something on Replit, Lovable, Bolt, Base44, Manus AI, Claude Code, Cursor, v0, or any other vibe coding tool — and now it's not working. Emails aren't sending. Auth is broken. Deployment fails. Users can't sign up. That's the moment most founders feel stuck between two bad options: start over, or hire someone who doesn't understand what the AI built. I'm the third option. I read AI-generated code, I understand what it was trying to do, and I fix it — fast and properly. This is what I do: — Email & verification issues: signup codes not arriving, SMTP broken, Resend or SendGrid misconfigured — I've fixed all of these. — Broken auth: Supabase Auth, Firebase Auth, BetterAuth, email/password flows, OAuth, Row-Level Security — set up correctly the first time. — Vibe-coded app rescue: audit the codebase, find what's insecure or broken, refactor for production. — Full-stack SaaS and MVPs: Next.js, React, Supabase, Firebase — built from scratch with auth, payments, and deployment ready on day one. — AI integrations: OpenAI, Claude, Google Gemini, Groq, Mistral, xAI Grok, DeepSeek — via REST API or Vercel AI SDK. — Payments: Stripe, Polar, PayPal, Paddle, Creem — subscriptions, one-time payments, webhooks. — Deployment: Vercel, Netlify, AWS, GitHub Pages — domain, SSL, CI/CD, mobile-checked. — Static sites and landing pages: Astro, HTML/CSS/JS — deployed and connected to your domain in hours. Tech I use every day: Vibe tools: Replit, Lovable, Bolt, Base44, Manus AI, Claude Code, Cursor, v0 Frontend: Next.js, React, Astro, Tailwind CSS, Shadcn UI Backend: Hono.js, Node.js, Express, FastAPI Databases: Supabase, Firebase, PostgreSQL, MongoDB, PrismaORM, Drizzle AI: OpenAI, Anthropic, Google Gemini, Groq, Mistral, xAI, DeepSeek, Vercel AI SDK Email: Resend, SendGrid, Nodemailer Payments: Stripe, Polar, PayPal, Paddle, Creem Auth: Supabase Auth, Firebase Auth, BetterAuth Languages: TypeScript, JavaScript, Python Deploy: Vercel, Netlify, AWS, GitHub Tell me what's broken or what you're building. I'll tell you exactly how to move forward.

𝐓𝐨𝐩 𝟏% Senior Full Stack Developer (expert vetted by Upwork). My services have helped my clients launch Software Businesses with over $𝟏𝟎𝐌𝐢𝐥𝐥𝐢𝐨𝐧+ Evaluation. I help Entrepreneurs in the US launch 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 with more that $100k ARR 🌟 My Clients are Launching Products in 𝟑-𝟒 𝐰𝐞𝐞𝐤𝐬 and going live in a Month. 💚 I cannot help everybody, but we may be a great fit if you are thinking: "There's millions on the line and I want the BEST" "I know my business I have the customers, but I dont understand Code" "I'm NOT a coding expert, and I don't have time to mess around with code!" "The last Saas we built was embarrassing - I don't want that EVER again" "I need a full Saas Develpment Package that I KNOW 100% will work RIGHT" I focus on B2B Saas Products that aim $1M ARR Working with me, you will ★ Stop struggling with tech - I handle the Saas Planning, Design, Development, Marketing, Strategy Architecture, Market Research, Design & Pitch Strategy ★ Put your best foot forward for your one shot with Saas Market. ★ Anticipate Client objections and pre-handle them ★ Receive turnkey, investor-grade, futureproofed Saas product ★ Captivate investors with the Full Working MVP ...and even save money by taking my high-quality work and reusing previously created work and not re-inventing the wheel. Not everyone is my client, though. Some signs we might not be a good fit include: ✗ The company is only looking to make a quick buck and isn't interested in creating a valuable long-term product. ✗ The company doesn't have a realistic budget to execute their SaaS idea. ✗ The company is only interested in getting information and isn't committed to seeing the project through to completion. I have built my own 100ARR Saas Products successfully. I’ve also been an investor, advisor and director – and now I run our inhouse Saas - so I’ve got a 360 view of the Saas Market. 🔢 My stats: ● $10M+ generated for Client Software revenue ● Clients generated $10K/month in 2022 on avg ● Over 56+ Saas Products built MY INDUSTRIES FinTech, Healthcare, LegalTech, Web3/DeFi, EduTech, Logistics & Supply Chain, Transport, E-Commerce, Retail, Manufacturing, Distribution, InsurTech, GovTech & Public Sector, Real Estate & PropTech, Travel & Hospitality, Cybersecurity, Media & Publishing, AI/ML & Data Analytics MY SOLUTIONS Multi-Tenant SaaS, AI SaaS, Decentralized App (dApp), Mobile App, Cross Platform App, Booking platform, Progressive Web App (PWA), AI Tool, Learning Management System (LMS), Electronic Health Records (EHR), Case Management System, Inventory Management System, ERP, CRM, Trading Platform, Customer Portal, Marketplaces, Cloud-Native Application SECUIRTY & COMPLIANCES SOC2, PCI DSS, HIPAA, GDPR, ISO 27001, NIST Zero Trust, HL7/FHIR, EHR/EMR, PII/PHI, OAuth2, JWT, RBAC/ABAC, MFA/2FA, AES-256, TLS 1.3, KMS/SSM, Vault, IAM, WAF, SAST/DAST, Audit Logs MY TECH STACK - Front End Development: React.js, Next.js, Vue.js, JavaScript, TypeScript, Tailwind CSS, HTML, Angular, jQuery - Back End Development: Golang, Gin, Echo, Fiber, Beego, Revel, Java, Spring Boot, Node.js, Express, NestJS, Rust, C++, Zig, Nuxt.js, Python, Django, flask, Laravel, PHP, Firebase, Ruby on Rails, Elixir - Mobile App Development: React native, expo, Flutter, Kotlin, Swift, electron ⁃ Database Management: MySQL, MongoDB, PostgreSQL, AWS RDS ⁃ Blockchain: Ethereum, Solana, Solidity, Anchor, Smart Oracles, Chainlink, DeFi, DEX, Crypto Hyperledger Fabric, Web3.js, Ethers.js ⁃ Messaging/Queuing: Apache Kafka, RabbitMQ, Redis Streams, NATS ⁃ API Integration: RESTful APIs, REST, SOAP, FastAPI, GraphQL, gRPC, OpenAPI, WebSockets ⁃ AI Integration: OpenAI, Claude, Gemini, ChatGPT, Grok, Mistral, Llama ⁃ Machine Learning (AI/ML): AI Agent, AI Bot, n8n, Python, TensorFlow, PyTorch, LangChain, LangGraph, DSPy, OpenAI GPT, FastAPI, Apache Spark, Hugging Face, AWS SageMaker, OpenCV, Vertex AI, RAG, AI Model fine-tuning, NLP ⁃ Cloud & Infrastructure: Linux, Virtual Private Cloud (VPC), Virtual Machine (VM), Terraform, Lambda, CloudFront, EC2, EKS, ECS, Fargate, lightsail, RDS, S3, Kinesis, Kubernetes, Docker, Nginx ⁃ Version Control: Git, GitHub MY SKILLS Full-Stack Development | Software Development | Front-End Development | Back-End Development | Web Development | Web Application | Mobile Development | Desktop | Artificial Intelligence | Blockchain Development | AI Agent | Web3 | Chatbot | AI App Development | AI Developer | AI Voice | SaaS Development | Database Management | API Integration | AI Integration | Software, AI, SaaS, web, mobile, Developer | AI Developer | Website | Solution Architecture | AI SaaS | AWS | GCP | Azure | DevOps | AIOps | MERN Stack | IaaS | IaC