Most automation projects do not fail because someone cannot write code. They fail because the workflow is messy, the scraper breaks, the API is unstable, the AI output is unreliable, or the backend was never designed to handle real edge cases. That is the kind of work I build and fix. I am a Python and JavaScript backend automation engineer with 5+ years of experience building AI automation systems, web scrapers, REST APIs, bots, backend tools, and data workflows. My main strength is backend automation. I work on systems where data needs to be collected, cleaned, processed, connected to APIs, pushed into databases, sent to bots, or used inside AI workflows. I can help you with: AI agents and automation workflows using OpenAI, Claude, DeepSeek, Grok, Qwen, Ollama, and custom tools. Advanced web scraping with Playwright, SeleniumBase, Puppeteer, Scrapy, curl_cffi, proxies, sessions, CAPTCHA handling, and anti bot bypass. Backend development with Python, FastAPI, Node.js, Express, REST APIs, authentication, databases, webhooks, queues, and third party integrations. API automation, custom integrations, dashboards, admin tools, Telegram bots, Discord bots, and workflow automation. Data pipelines that export to CSV, JSON, Excel, Google Sheets, PostgreSQL, MySQL, MongoDB, Redis, or custom formats. Deployment and server setup with Docker, Nginx, Linux, Hetzner, AWS, DigitalOcean, CyberPanel, AAPanel, and Proxmox. I do not like fragile scripts that only work once. When I build something, I care about clean structure, retries, logs, error handling, rate limits, proxy and session handling, database design, and making the system easy to run after delivery. I have also built real products outside client work. ShieldProxy.cc gave me practical experience with proxies, IP rotation, networking, and scraping infrastructure. DockLift.dev gave me hands on experience with Docker, containers, server management, and deployment workflows. I am also learning Rust because I care about memory safety, performance, and building more reliable backend tools. I do not sell myself as a Rust expert yet, but I like adding stronger engineering habits into the systems I build. My usual process is simple. First, I understand the workflow and identify the risky parts. Then I test the target, API, or automation flow and prove the approach with a small working sample. After that, I build the full system with clean backend logic, proper error handling, logging, exports, and deployment support if needed. If the project needs AI, I do not just connect an API and hope it works. I design the flow around prompts, tools, validation, fallback logic, memory, and human review where needed. The projects I am best for: You need an AI agent that performs real tasks. You want to automate a manual workflow. Your current scraper keeps breaking. A website blocks normal scraping. You need a backend API or automation system. You need data collected, cleaned, processed with AI, and delivered somewhere useful. You need Telegram, Discord, Zapier, Make, n8n, WordPress, or custom API automation. You need someone who understands scraping, AI automation, backend APIs, deployment, and real world failure handling. Send me the website, API, workflow, or idea you want to automate. I can usually tell you quickly what is possible, what is risky, and the cleanest way to build it.

Most businesses waste 10+ hours a week on manual work that AI automation can eliminate. I build the n8n, Make, and Python systems that do it — reliably, in production. Over the past 3 years I've delivered 57+ projects for SaaS founders, real estate operators, agencies, and solo entrepreneurs across the US and Europe. My work combines Python backend engineering, LLM integration, and workflow automation into reliable, production-ready systems — not quick hacks that break in a week. What I build: AI automation workflows in n8n, Make, and Zapier connected to OpenAI, Claude, GPT-4o, DeepSeek, and Grok AI agents and chatbots for lead handling, support, and internal operations Python web scrapers that extract structured data from any website, including JavaScript-heavy and bot-protected targets Full data pipelines from raw extraction to clean storage in PostgreSQL, Supabase, MySQL, or Google Sheets LLM integrations for email triage, lead scoring, content generation, and document processing Full-stack products with Next.js frontends backed by Python APIs and Supabase Recent projects: Gmail AI triage: n8n reads incoming emails, GPT-4o classifies by type and urgency, results logged to MySQL automatically Lead scoring pipeline: Make pulls company data via Grok xAI, scores leads, pushes results to Google Sheets Real estate data platform: 10,000+ foreclosure listings scraped daily from court records and county portals Article intelligence workflow: Firecrawl + DeepSeek scores and ranks content, synced to Sheets for editorial teams CRM sync automation: Google Sheets → Pipedrive pipeline with field mapping and deduplication Sports scouting MVP: Tally forms processed through Make + OpenAI, structured output saved to Notion Tech stack: Python, n8n, Make, Zapier, Claude, OpenAI API, LangChain, Playwright, Selenium, BeautifulSoup, Supabase, PostgreSQL, MySQL, Next.js, Google Sheets API, Pipedrive, Notion, AWS SES If a workflow is eating your team's time — or you have a data problem that needs real engineering — let's talk. I reply within a few hours.

I help startups and businesses build AI-powered products, intelligent automation systems, AI agents, and scalable SaaS platforms. Over the last 8+ years, I've developed web applications, SaaS products, APIs, and cloud-based platforms. Today, my primary focus is building AI solutions that automate workflows, enhance customer experiences, and create new business opportunities. Whether you're looking to launch an AI startup, integrate LLMs into an existing product, build autonomous AI agents, or automate complex business processes, I can help turn the idea into a production-ready solution. What I build =========== - AI Agents & Assistants using OpenAI, Anthropic, LangChain, and tool-calling workflows. - ChatGPT-style web apps with authentication, billing, memory, and multi-user SaaS architecture. - RAG systems with vector databases for contextual document search and QA. - Custom AI copilots integrated into web or mobile applications. - Scalable SaaS platforms with modern React/Next.js frontends and Python/Node.js backends. - AI automation tools for support, CRM workflows, lead qualification, reporting, and internal operations. AI & Backend Stack ================== - LLMs & AI: OpenAI, Anthropic, Hugging Face, LangChain, RAG, embeddings, vector DBs. - Python: FastAPI, Django, AI pipelines, automation services. - Full Stack: React.js, Next.js, TypeScript, Node.js, Nest.js. - Databases & Cloud: PostgreSQL, MongoDB, Firebase, Supabase, AWS, CI/CD. - Integrations: Stripe, Twilio, Google APIs, CRMs, OAuth, and third-party SaaS tools. Full Stack Development ======================= - Frontend:- React.js, Next.js, TypeScript, JavaScript, Angular - Backend:- Python, FastAPI, Django, Node.js, NestJS, Express.js, Laravel - Databases:- PostgreSQL, MongoDB, MySQL, Firebase, Firestore, Supabase - Cloud & DevOps:- AWS, Docker, CI/CD, GitHub Actions, Vercel Best fit projects ============== - AI SaaS products. - Internal AI tools and automation systems. - Customer support chatbots and voice agents. - RAG/document intelligence platforms. - AI-powered dashboards and workflow automation. - MVPs for startups using OpenAI or Anthropic APIs. Whether you need an AI agent, a custom SaaS platform, an automation system, or an experienced developer who can own the entire development process, I can help. Feel free to send me an invite with a few details about your project. Best regards, Shailesh

𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 • 𝐋𝐋𝐌𝐬 • 𝐑𝐀𝐆 • 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 | 𝟏𝟎+ 𝐘𝐞𝐚𝐫𝐬 | 𝟒𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 | 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 As an AI Engineer, building AI Agents, AI Chatbots, Voice AI, and AI Integration solutions that streamline operations, improve customer experiences, qualify leads, and integrate seamlessly with existing business systems. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫 🤖 AI Agents & Multi-Agent Systems 🎙️ 24/7 AI Voice Agents (Inbound & Outbound Calling) 📚 RAG Knowledge Assistants for Millions of Documents (only if true) 📄 Document AI & OCR for Automated Data Extraction 🔍 Semantic Search & Vector Databases 📅 24/7 Appointment Scheduling Automation 📧 AI Email & CRM Automation 📊 AI Analytics & Reporting Dashboards 🏥 Healthcare AI & HIPAA-Compliant Solutions 🔗 Custom AI Integrations with 50+ APIs 𝐈 𝐃𝐨𝐧'𝐭 𝐁𝐮𝐢𝐥𝐝 𝐀𝐈 𝐟𝐨𝐫 𝐒𝐡𝐨𝐰. 𝐈 𝐁𝐮𝐢𝐥𝐝 𝐈𝐭 𝐭𝐨 𝐂𝐮𝐭 𝐂𝐨𝐬𝐭𝐬. 🎙️ 𝐀𝐮𝐝𝐢𝐯𝐨𝐱 – 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭 𝐟𝐨𝐫 𝐒𝐚𝐥𝐞𝐬 & 𝐀𝐩𝐩𝐨𝐢𝐧𝐭𝐦𝐞𝐧𝐭 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐢𝐧𝐠 Built: AI-powered voice agents for inbound and outbound calling, lead qualification, appointment scheduling, customer engagement, and sales workflow automation. 𝐈𝐦𝐩𝐚𝐜𝐭: Automated 24/7 customer conversations, reduced manual calling, and accelerated lead qualification. 𝐓𝐞𝐜𝐡: OpenAI · VAPI · Twilio · Python · FastAPI · React · AWS 🩺 𝐓𝐨𝐜𝐚 𝐇𝐞𝐚𝐥𝐭𝐡 𝐀𝐈 𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐄𝐇𝐑 for Monitoring Patients and Managing Chronic Care Built: AI-driven care-plan engine, automated billing, IoT orchestration, and HIPAA-secure communication. 𝐈𝐦𝐩𝐚𝐜𝐭: Scaled for 500K+ doctors with 99.9% uptime. 𝐓𝐞𝐜𝐡: GPT Codex, Claude Code, AWS IoT · FastAPI · EHR Integrations · Generative AI · Tenovi · RingCentral 🛡️ 𝐂𝐨𝐧𝐧𝐞𝐱𝐆𝐮𝐚𝐫𝐝 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐖𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐰𝐢𝐭𝐡 𝐀𝐈 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐢𝐧𝐠 Built: AI platform for staff scheduling, compliance, and operational insights. 𝐈𝐦𝐩𝐚𝐜𝐭: 25% reduction in operational overhead. 𝐓𝐞𝐜𝐡: Django · React · CMS Compliance Layer · AWS · PostgreSQL 🧪 𝐃𝐌 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 - 𝐀𝐈 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐓𝐫𝐢𝐚𝐥 𝐑𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 & 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐒𝐜𝐫𝐞𝐞𝐧𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦 Built: Automated volunteer outreach and eligibility screening with AI-to-human handoff. 𝐈𝐦𝐩𝐚𝐜𝐭 Automated 24/7 patient screening, reduced recruitment costs, and accelerated enrollment. 𝐓𝐞𝐜𝐡: Claude Code, Python · VAPI · Twilio · GPT-4 · AWS Lambda · PostgreSQL · CRM Integrations 𝐂𝐨𝐦𝐦𝐨𝐧 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐈 𝐇𝐞𝐥𝐩 𝐒𝐨𝐥𝐯𝐞 ❓Still spending 10+ hours every week on repetitive work? ❓Losing leads because customers don't get an instant response? ❓Paying employees to perform tasks that AI can automate 24/7? ❓Looking for AI that reduces costs, saves time, and integrates with your business not just another chatbot? 𝐖𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐒𝐚𝐲 𝐀𝐛𝐨𝐮𝐭 𝐌𝐲 𝐖𝐨𝐫𝐤 🔹 "Muhammed was professional, responsive, and turned our AI vision into a results-driven tool. Highly recommend!" 🔹 "Fahid consistently delivers high-quality work, tackling challenging projects with an open mind for top global brands." 🔹 "Very easy to work with friendly, knowledgeable, and clear in explanations and recommendations." 🔹 "A great team member who works diligently and independently on complex tasks. Would gladly work with him again." 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 🤖 AI & LLMs OpenAI (GPT-4), Claude, Gemini, Llama, Mistral, DeepSeek, Grok, Hugging Face Transformers 🧠 AI Frameworks LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Haystack 🗄️ Databases PostgreSQL, MySQL, MongoDB, Redis, Neo4j 🔍 Vector Databases & Search Pinecone, Weaviate, FAISS, Milvus, Elasticsearch, OpenSearch ☁️ Cloud & DevOps AWS (Lambda, EC2, S3, RDS, ECS, ECR, API Gateway, CloudWatch), Docker, Kubernetes, GitHub Actions 🔗 APIs & Integrations OpenAI API, Anthropic API, Twilio, VAPI, ElevenLabs, Stripe, HubSpot, Salesforce, GoHighLevel, Zapier, Slack API 📄 AI Capabilities RAG, AI Agents, Multi-Agent Systems, AI Chatbots, Voice AI, Semantic Search, OCR, Document AI, Workflow Automation, Function Calling, MCP (Model Context Protocol) 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐈𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 🔹Multi-agent LLM workflows (LangChain, LlamaIndex, CrewAI) 🔹FHIR/HL7, CMS-compliant healthcare data pipelines 🔹EHR/EMR integration (Epic, PCC, CharmHealth) 🔹PubMed-powered medical-grade RAG AI 🔹HIPAA-secure AWS deployments

Businesses hire me when manual processes are costing them time they do not have: leads that need enrichment, follow-ups sent by hand, reports built from scratch every day. I automate that. n8n, Python, LLMs, 4 years, 100% Job Success Score on Upwork. What I have built: - N8N Lead Generation Platform (0.5 yrs): End-to-end automation for multi-channel lead scraping, data enrichment, deduplication, AI-powered classification, and automated outreach. Zero manual steps from lead capture to first contact. Stack: n8n, FastAPI, PostgreSQL, GCP, LLM. - LegalTech AI Platform (1.5 yrs): Demand letter generation from user input, audio-to-text transcription, multi-format file handling (PDF, DOCX, audio), live AI chat, Stripe billing. Stack: Django, React/TypeScript, Celery, PostgreSQL, AWS Transcribe, Stripe. - Medical AI Diagnostic Platform (1 yr, team of 15-20): DICOM slide analysis with ML-powered preliminary diagnosis support for healthcare professionals. Medical dictation to text conversion. Stack: FastAPI, React, Redis, Firestore, PostgreSQL, GCP, Docker. - On Upwork: video transcription pipelines, email automation agents, chatbot builds, OAuth flow automation, speaker recognition workflows. 100% Job Success Score, Top Rated Plus. How I work: Every automation project starts with a requirements map: what triggers what, what fails gracefully, what alerts when something breaks. Architecture documentation before delivery. Unit tests before marking complete. Written updates every 2-3 days without being asked. For larger builds, I work with the senior engineering team at Meduzzen. I stay your direct technical contact. You get peer-reviewed code and institutional QA without routing through a project manager. Core stack: n8n, Python, FastAPI, Django/DRF, OpenAI API, LLM integrations, React, TypeScript, PostgreSQL, Redis, MongoDB, Docker, AWS, GCP, Celery, SQLAlchemy, GitHub Actions. If you have a manual process to automate or an AI integration sitting in your backlog, send me the workflow. I will tell you how I would approach it.

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 multi-agent systems 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.

🌟 Top 10% on UpWork | 🌟 Trusted by Clients in 36 Countries | 🌟 5 Star Feedback I am an AI Agent and Automation Specialist with over a decade of experience collaborating with SaaS startups, small to global businesses, and a track record of delivering projects in 36 countries. My approach is firmly grounded in pragmatism, data-driven decision-making, and a relentless pursuit of results. 🪐 Expertise: AI Agents | API Integration | Workflow Automation 🪐 If you're overwhelmed by the complexity of AI agents and workflows processes or struggling to navigate the myriad of automation tools like Zapier, Make (formerly Integromat), or n8n, I can help simplify and supercharge your operations. As an entrepreneur, I recognize that your time is your most valuable resource. Rather than wrestling with trial-and-error automation setups, you can rely on a seasoned professional to create intelligent, efficient systems that work for you. Whether you need intricate multi-step API integrations or AI agents that enhance decision-making and task automation, I specialize in optimizing workflows through platforms like Zapier, Make, and n8n. By leveraging webhooks and AI-driven solutions, I ensure seamless data flow between systems, eliminating inefficiencies, reducing costs, and minimizing errors. While n8n is my preferred platform, thanks to its remarkable interface and versatility, I am equally adept with Zapier and Integromat/Make. From straightforward integrations to complex workflows requiring custom AI functionality, I thrive on solving challenges that push the boundaries of automation. If no ready-made recipe exists for your needs, I’ll explore your app's API documentation and craft tailored webhooks or AI agent workflows to achieve the desired outcomes. 👋 I invite you to engage in a conversation with me to explore my track record and examine real-world examples of my work. Here are some of the tools I've proficiently wielded in the past: AI Integration | AI Automation | AI Agent Development | AI Chatbot Development | Workflow Automation | Automation Engineering | API Integration | n8n | Make | Zapier | Prompt Engineering | LLM Integration | RAG | No-Code Automation | Agentic AI | Multi-Agent Systems | Voice AI | Voice Agents | ElevenLabs | AI Video Generation | AI Image Generation | Vibe Coding | MCP | AI Workflow Orchestration | AI-Powered CRM Automation | WhatsApp AI Automation | ChatGPT | Claude | Gemini | OpenAI | LangChain | Flowise | Dify ai | n8n Automation | Make Automation | Zapier Automation | GoHighLevel | HubSpot Automation | Airtable Automation | Notion AI | AI Integration Specialist | Workflow Automation Specialist |Autonomous Agents | Agentic Workflows | AI Orchestration | Tool Calling | Function Calling | LlamaIndex | LangGraph | CrewAI | OpenRouter | Vercel AI SDK | Microsoft AutoGen | Semantic Kernel | DeepSeek-V3/R1 | Llama 4 | Mistral | Grok | Cohere | BotPress | Voiceflow | Manychat | Local LLMs | Ollama | vLLM | GraphRAG | Agentic RAG | Hybrid Search | Pinecone | Weaviate | ChromaDB | Milvus | NotebookLM | Vector Database | AI Search | Semantic Search | Agentic Search | Salesforce | Pipedrive | ActiveCampaign | Zoho | Monday | Airtable | ClickUp | Notion | Microsoft Dynamics 365 | SAP Integration | ERP Automation | Stripe API | Twilio | WhatsApp Business API | Slack | Microsoft Teams | Google Sheets | Tableau | Amplitude | Google Analytics | AWS | Azure | GitHub | Bubble io | Replit | Webhooks | REST APIs | AppScript | Python for Automation | SQL | Google Cloud Functions | Docker for AI | Microsoft Copilot | Perplexity | Midjourney | Stable Diffusion | DALL·E 3 | Runway ML | Adobe Firefly | Adobe Photoshop | Adobe Premiere Pro | Descript | Luma Dream Machine | Ideogram | Leonardo AI | Fireflies.ai | Gamma App | Gsuite | Google Drive | Typeform | Calendly | Shopify | Trello | Xero | QuickBooks | Jira | Sharepoint | Zendesk | RPA | Intercom | WordPress | ServiceNow | Outlook | Netsuite | Confluence | Zoominfo | Keap | Marketo | Smartsheet | Atlassian | Close io | Bitrix24 | Stack.ai | Unbounce | Google Tag Manager | PandaDoc | Teachable | Thinkific | JustCall | AirCall | RingCentral | Commerce7 | ShipStation | BigCommerce | CallRail | Pipedream | Activepiece | Pika Labs | OpusClip | Veo 3 Google | Kling AI | Genmo | PixVerse | DreamStudio | Voice ai | Play ht | Speechify | Krisp | Avoma | Grain | tl;dv | Gong io | Chorus ai | Rewind AI | Mem | Consensus | WolframAlpha | Elicit | ChatPDF | MarketMuse | Clearscope | Writer com | InVideo | VEED io | Kapwing AI | Pictory AI | Colossyan | Riverside fm AI | Sonix ai | Vizard | Beautiful ai | Tome AI |Data Scraping | OCR | AI Operating | System e Inventory Management | Lead Generation | CRM Automation | Outreach | Data Pipeline| Voice AI

I build and stabilize AI-native SaaS products with Claude Code, Cursor, Next.js, Supabase, RAG, and agent workflows. If you have a half-built AI product, messy Claude/Cursor-generated code, a Supabase app with weak RLS, or a founder-led SaaS that needs production features shipped fast, I can help you move from prototype to reliable production. My strongest work is at the intersection of full-stack engineering and AI systems: - Next.js 15 App Router, React, TypeScript, Tailwind, shadcn/ui - Supabase, Postgres, RLS, Auth, Edge Functions, pgvector - Stripe, Vercel, Railway, Netlify, GitHub, CI/CD, Sentry, PostHog - Claude, OpenAI, Gemini, Grok, DeepSeek, Ollama, vLLM - RAG pipelines, vector search, document ingestion, evals, guardrails - AI agents, tool calling, MCP servers, OpenAPI actions, workflow automation - Slack, WhatsApp, Telegram, Gmail, Google Sheets, Notion, Airtable, n8n I use Claude Code, Cursor, and Codex as serious engineering tools, not just autocomplete. That means maintaining project context, writing clear specs, reviewing generated code, testing edge cases, and turning AI-assisted work into clean commits and production-ready PRs. Common projects I can own end-to-end: - Add an AI assistant or chatbot to an existing SaaS - Build a RAG system over PDFs, websites, internal docs, or product data - Set up Supabase Auth, Postgres schemas, RLS policies, and user dashboards - Stabilize a Next.js/Supabase app with Stripe, Vercel, and production monitoring - Audit and refactor Claude Code or Cursor-generated code before production - Build internal AI tools for founders, operators, sales teams, and support teams - Create Slack, WhatsApp, Telegram, or email automations powered by LLMs - Design AI-native development workflows using CLAUDE.md, MCP, agents, and PR discipline I communicate clearly, work async, and can overlap 4+ hours with US Eastern time from IST. I am comfortable taking vague founder requirements, turning them into a practical technical plan, pushing back when needed, and shipping the version that should actually exist. If your goal is to ship an AI feature, harden an MVP, clean up an AI-generated codebase, or build a reliable agent/RAG workflow, I can step in and own the technical execution.

With 14+ years of engineering experience, $300K+ earned on Upwork, and a 100% Job Success Score across 28 projects, I architect and build the scalable SaaS platforms and cross-platform applications that power real businesses - from first commit to production scale. Scalable SaaS - Web, Mobile & Desktop: Multi-tenant SaaS platforms end-to-end - auth, billing, RBAC, data isolation, real-time dashboards, workflow automation, and third-party integrations. Web (React, Angular), mobile (React Native, Flutter), and desktop (Electron) apps sharing a unified backend. Node.js, Spring Boot, Django , Flask - built to grow with your business. AI Agents, Automation & Intelligent Systems: Production-grade AI systems that plug into SaaS workflows - autonomous agents with tool calling, memory, and human-in-the-loop controls. RAG pipelines, conversational AI with contextual memory, structured output, and AI-driven automation for support, analytics, and enterprise operations. Stack: OpenAI, LangChain, LangGraph, CrewAI, TensorFlow, PyTorch, Pinecone, ChromaDB. Healthcare, Wellness & Fitness Applications: HIPAA-aware digital health platforms - wellness coaching apps, fitness tracking, telehealth portals, and patient engagement tools. Wearable integration (Apple HealthKit, Google Fit, Fitbit API), real-time vitals monitoring, AI-driven health recommendations, nutrition/workout engines, and secure EHR/EMR data handling. Custom ERP & Zoho Solutions: Custom ERP systems - inventory, procurement, HR, finance, CRM, and operations unified in one platform. Ground-up builds on Node.js/Spring Boot or Zoho One customization (CRM, Books, Inventory, Creator). Deluge scripting, API integrations, data migration, and multi-module automation connecting sales to fulfillment to accounting. Video Editing & Streaming Platforms: End-to-end video platforms built from scratch - browser-based editors using FFmpeg, Fabric.js, OpenGL, and WebAssembly for near-native performance. Live and on-demand streaming with HLS, DASH, adaptive bitrate. Transcoding pipelines, DRM, encoding optimization (H.264, VP9, AV1), and AI-powered video processing. Cloud Infrastructure, Security & Compliance: Microservice, serverless, and hybrid architectures on AWS, GCP, and Azure - Docker, ECS/Fargate, Kubernetes, GPU workloads with on/off scaling. Terraform, CI/CD with SAST/DAST gates, full observability. SOC2, GDPR, and HIPAA compliance baked in: Okta SSO/MFA/SCIM, OAuth 2.0, RBAC, AES-256/TLS 1.3 encryption, secrets management (AWS Secrets Manager, Vault), Nginx hardening, WAF, and OWASP Top 10 remediation. Core Tech Stack: - Languages: Java, Node.js, Python, TypeScript, JavaScript - Frameworks: Spring Boot, Express.js, NestJS, Django, Angular, React - Mobile & Desktop: React Native, Flutter, iOS, Android, Electron - Databases: PostgreSQL, MongoDB, MySQL, Elasticsearch, Redis, Neo4j - Cloud & Infra: AWS (ECS, Fargate, Lambda, EC2 GPU), GCP, Azure | Kubernetes, Docker, Terraform - AI/ML: OpenAI, LangChain, LangGraph, CrewAI, TensorFlow, PyTorch, Pinecone, ChromaDB - ERP: Custom ERP, Zoho One, Zoho CRM, Zoho Creator, Zoho Deluge - Health & Fitness: Apple HealthKit, Google Fit, Fitbit API, HL7/FHIR, HIPAA compliance - Video: FFmpeg, OpenGL, Fabric.js, WebAssembly, HLS, DASH - Security: SOC2, GDPR, HIPAA, Okta, OAuth 2.0, AES-256, TLS 1.3, DRM, WAF, SAST/DAST How I work: I respond within hours, communicate proactively, and treat every project like my own product. Whether you need a solution architect, a lead developer, or both - I bring the full picture. Let's talk about what you're building.

I help enterprise and operations-heavy teams turn messy business processes into reliable systems. I’ve spent 15+ years building and leading production software systems: .NET platforms, Azure infrastructure, SQL databases, APIs, internal tools, reporting workflows, and business-critical applications. That background lets me bridge the gap between AI experimentation and software that a real business can actually depend on. I work best where software needs to connect with real operations - documents, databases, CRMs, spreadsheets, internal portals, legacy systems, approval workflows, reporting processes, and human review steps. I use Claude Code and OpenAI Codex as part of my daily engineering workflow: reviewing codebases, planning features, accelerating development, testing ideas, refactoring safely, and turning business requirements into working software faster. My value is knowing how to apply AI inside real production environments where architecture, security, data quality, maintainability, and auditability matter. I can help with: 🔧 Process Engineering - mapping workflows, finding automation opportunities, and designing safer AI-assisted processes 🤖 AI Automation - document processing, internal tools, reporting automation, CRM/data-entry support, and review queues 🧠 AI/LLM Development - assistants, RAG/search, structured outputs, guardrails, evaluations, and human-in-the-loop workflows 🏗️ .NET / Azure / SQL Integration - connecting AI into existing enterprise systems without creating fragile side projects 📐 Fractional CTO / Technical Lead Support - architecture, roadmap planning, risk review, estimates, and execution strategy A typical first step is a short discovery and workflow review. From there, I give you a prioritized plan: what can be automated, what should stay human-reviewed, where the risks are, what it will cost, and what can be shipped first. Message me with your current process, stack, pain point, and deadline. I’ll help you turn the time-sink into a working system.