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.

Is your team wasting time on repetitive work, or you know that automation and AI are missing in your business? I design systems that eliminate manual work across your business so your team can focus on higher-impact, revenue-generating work. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ▶︎ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Production-ready automations in 𝗻𝟴𝗻, 𝗠𝗮𝗸𝗲.𝗰𝗼𝗺, zapier and more, connecting CRMs, email, databases, payments, and internal tools. Clean logic, error-proofing, and built for scale. ▶︎ 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Custom 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, chatbots, document processors, and lead qualification/generation flows using GPT-5, Claude Opus/Sonnet, Gemini 3, LLaMA 4, DeepSeek-R1, and others. ▶︎ 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗦𝗰𝗿𝗶𝗽𝘁𝗶𝗻𝗴 From REST APIs to webhooks and OAuth, I connect platforms that don’t natively talk to each other, with Python/Node.js where needed. ▶︎ 𝗖𝗥𝗠 & 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗛𝘂𝗯𝗦𝗽𝗼𝘁 • 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲 • 𝗚𝗼𝗛𝗶𝗴𝗵𝗟𝗲𝘃𝗲𝗹 • 𝗣𝗶𝗽𝗲𝗱𝗿𝗶𝘃𝗲 • 𝗡𝗼𝘁𝗶𝗼𝗻 • 𝗔𝗶𝗿𝘁𝗮𝗯𝗹𝗲 • 𝗦𝘂𝗽𝗮𝗯𝗮𝘀𝗲 Clean data syncing, automated pipelines, dashboards, and reporting flows. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▶︎ 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: n8n • Make • Python 𝗔𝗜: GPT-5.1 • Claude Opus/Sonnet 4.5 • Gemini 3 Pro • LLaMA 4 • DeepSeek-R1 • Grok 𝗩𝗶𝘀𝗶𝗼𝗻/𝗠𝗲𝗱𝗶𝗮: Veo • GPT-Image • Sora • RunwayML • NeoBanana 𝗩𝗼𝗶𝗰𝗲: Vapi • Synthflow • Retell 𝗖𝗥𝗠: HubSpot • Salesforce • GHL • Pipedrive 𝗗𝗮𝘁𝗮: Supabase • PostgreSQL • pgvector • Airtable • Notion 𝗣𝗮𝘆𝗺𝗲𝗻𝘁𝘀: Stripe • QuickBooks • Plaid • Square 𝗗𝗲𝘃: Python • Node.js • REST APIs • Webhooks • Twilio 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: LangChain, LangGraph, MCP, RAG, Clawbot 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: Playwright • Browser Use • Apify • FireCrawl ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▶︎ Why Clients Choose Me 🟢 High-level consulting, not just execution I help you understand the problem, choose the right architecture, and avoid expensive mistakes. 🟢 Strong engineering foundation I build systems that are maintainable, modular, and scalable, not fragile automations. 🟢 Ability to work across the stack From backend engineering to AI workflows and enterprise integrations. 🟢 Clear communication & reliability Fast responses, predictable delivery, and a problem-solving mindset. ▶︎ Let’s Build Something Scalable If you need a partner who can architect, develop, and deliver AI-powered automations, backend systems, or advanced data workflows, I’d be happy to discuss your project.

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.

Most businesses are sitting on 10+ hours of manual work every week that could be fully automated. I build the systems that eliminate it. 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-powered automation workflows using n8n, Make, and Zapier connected to OpenAI, GPT-4o, DeepSeek, and Grok - Python 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 Projects I've shipped: - Gmail AI triage system: 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, and pushes results into Google Sheets - Real estate data platform with 10,000+ foreclosure listings scraped daily from court records, county portals, and government sources - Article intelligence workflow: Firecrawl + DeepSeek scores and ranks content, synced to Sheets for editorial teams - CRM sync automation: Google Sheets to Pipedrive pipeline for a German notary database with field mapping and deduplication - Sports scouting MVP: Tally form submissions processed through Make and OpenAI, structured output saved to Notion Tech stack: Python, n8n, Make, Zapier, Claude AI, OpenAI API, Playwright, Selenium, BeautifulSoup, Supabase, PostgreSQL, MySQL, Next.js, Google Sheets API, Pipedrive, Notion, AWS SES If you have a workflow that is eating your team's time or a data problem that needs a real engineering solution, let's talk.

🔰 𝟏𝟒+ 𝙔𝙚𝙖𝙧𝙨 𝙤𝙛 𝙀𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 🏅 𝙏𝙤𝙥 𝙍𝙖𝙩𝙚𝙙 𝙊𝙣 𝙐𝙥𝙬𝙤𝙧𝙠 🤝 𝙊𝙥𝙩𝙞𝙢𝙪𝙢 𝙅𝙤𝙗 𝙎𝙪𝙘𝙘𝙚𝙨𝙨 𝙍𝙖𝙩𝙚 With over a decade of mastery, I navigate the digital universe as a 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 with a skillset that spans 𝐏𝐲𝐭𝐡𝐨𝐧 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 (full-stack, micro-framework, and asynchronous), 𝐋𝐋𝐌𝐬, 𝐎𝐩𝐞𝐧𝐀𝐈 𝐀𝐏𝐈𝐬, Advanced 𝐀𝐈/𝐌𝐋 technologies, and more. My diverse tech stack includes: ✨ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬 & 𝐓𝐨𝐨𝐥𝐬: GPT-4o/4.1/5/4 Turbo/3.5 Turbo | o3-mini | Claude 3.5 | Claude 3.5 | Gemini 1.5 Pro & Flash | DeepSeek V2/V3/Coder/R1 | LLaMA 3 | Command R+ | Grok-1.5 | DALL·E 3 | Stable Diffusion XL/3 | Midjourney v6 | Runway Gen-3 | LangChain | LlamaIndex | AutoGen | CrewAI | Ollama | LM Studio | GPT4All | Modal | vLLM | TGI | Azure OpenAI | AWS Bedrock | Pinecone ✨ 𝐀𝐈/𝐌𝐋 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: TensorFlow | PyTorch | Scikit-learn | Pandas | Numpy | Matplotlib | Hugging Face Transformers | Diffusers | Fastai ✨ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐞𝐛 𝐒𝐜𝐫𝐚𝐩𝐢𝐧𝐠: Zapier | Make | Apache Airflow | Selenium | Beautiful Soup | Playwright | Puppeteer | Pipedream | Activepieces ✨𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Python (Flask, Django, FastAPI) | Express.js | Machine Learning (ML) | AI | Microservices | WebSockets ✨ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: React | Next.js | Vue.js | JavaScript | TypeScript | Solid.js ✨ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: MongoDB | PostgreSQL | MySQL | Apache Cassandra | AWS DynamoDB | Firebase ✨ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐒𝐭𝐲𝐥𝐢𝐧𝐠: Tailwind CSS | Chakra UI | Shadcn UI | Radix UI | DaisyUI ✨ 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐇𝐨𝐬𝐭𝐢𝐧𝐠: Vercel | Railway | Netlify | Render | Fly io | Cloudflare Pages | Docker | AWS ECS/Fargate ⏩ 𝐀𝐈/𝐌𝐋 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬: Supervised & Unsupervised Learning | Neural Networks | Natural Language Processing (NLP) | Large Language Models (LLMs) | Multi-Agent Orchestration (AutoGen, CrewAI) | Open Source LLM ✅ 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐢𝐞𝐬: WebSocket | GraphQL | Docker | Redis | Nginx | Git | GitHub | Bitbucket | Agile/Scrum | Trello | Jira | Bash/Shell Scripting | RESTful APIs | 🌐 𝐃𝐨𝐦𝐚𝐢𝐧 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Successfully delivered end-to-end solutions across diverse industries, including E-commerce, Healthcare, Travel, Education/LMS, FinTech, Cybersecurity, Food Delivery, Taxi Booking, and more. Looking forward to a long-term business relationship with you!

AI Expert | Machine Learning • Deep Learning • Generative AI I'm a senior AI Engineer with 4+ years of hands-on experience in machine learning and deep learning and has a strong grasp in both research and development project I can help you to build the whole ML pipeline from scratch or improve your solutions. Dealing with various tasks, such as Machine learning, NLP, Time Series Analysis, Computer Vision, Medical EHR and imaging Data, GANs, RAG, Chatbot, Image generation and developing bots for Stocks or/and Crypto markets, deploying APIs for ML models, etc. Skills: - Languages: Python - Frameworks: PyTorch, TensorFlow, Keras, Flask - Libraries: LangChain, NumPy, Pandas, Scikit-Learn, Matplotlib, Plotly, SciPy, NLTK, LightGBM, XGBoost, langchain, pytorch - DB: MySQL, PostgreSQL, MongoDB, VectorDB - Version control: GIT - Other: Docker, Google Cloud, LLM, ChatGPT, LLaMA, OpenAI, Grok, qwen Feel free to reach out I can add the AI touch and technical backbone to your next big idea.

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.

Being top rated plus isn’t just a badge, it's the payoff for years of shipping quality code, solving real problems, and helping startups scale (some even raised millions 💸) If you're looking for someone who can take your idea from a paper sketch to a polished product, be it for web or mobile, write clean, scalable code, deliver on time and within budget, and not ghost you mid sprint, you're in the right place. I am an AI driven Full Stack Expert, who specializes in building fast, reliable, and beautiful apps across web and mobile. Whether it's a quick MVP or a full-scale product launch, I've got you. Tech I vibe with: React.js, Next.js, Node.js, Nest.js, Angular.js, Vue.js Django, Ruby on Rails, Flutter, React Native GraphQL, MongoDB, MySQL, Firebase, Restful APIs Tailwind, SASS, Redux, React Query Communication/Management tools that I use: JIRA, Trello, Figma, Github, Clickup, Teams, Monday.com I’ve also been long playing with and working on the cutting edge tools like ChatGPT, GPT4, Dall-E, Voice AI, AI Agents, DeepSeek, Grok AI, Claude AI, Azure AI, OCR, NLP, TTS and STT (Text to Speech and Speech to Text), so if you’re building something futuristic (or want to), let’s talk 🤖 Let’s turn your vision into something people actually love using. Ping me whenever you're ready and we'll get the game on!🧐

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.

$100M+ in Client Revenue | Expert-Vetted (Top 1% Upwork) | 240+ Projects | 100% Job Success | 10+ Years on Upwork I’m a Full Stack Developer, SaaS Developer and Backend Developer focused on building production-ready software that holds up under real-world usage. My work sits at the intersection of software developer, web developer, and SaaS platform builder, with a strong backend-first mindset and deep attention to scalability, performance, and long-term maintainability. As a Full Stack Developer, I take ownership of systems end-to-end, pairing robust backend architecture with clean, modern interfaces. My frontend work is typically React-based and I often collaborate with or replace traditional React developer or web developer setups by owning both frontend and backend in a single, coherent system. While I’ve previously worked as a WordPress developer and integrated WordPress-based sites into custom platforms, my current focus is on custom SaaS and API-driven systems rather than CMS-centric builds. As a SaaS Developer, I help companies design, build and scale SaaS products, internal tools and API-driven web applications intended for long-term use. My experience as both a Backend Developer and software developer allows me to think beyond features and focus on architecture, reliability and operational stability from day one. Many of the platforms I build support internal teams, customer dashboards and multi-role workflows where permissions, data integrity and business rules are critical. In my day-to-day work as a Backend Developer, I design and implement backend services, APIs and data models that power SaaS platforms, complex web applications and mobile-connected systems. I regularly work with Node.js and Python, drawing on my background as a Python developer to build scalable services, background jobs and asynchronous workflows that perform reliably in production. As a Full Stack Developer, I ensure these backend systems integrate cleanly with frontend applications, mobile extensions and third-party APIs. When required, I support frontend and mobile app developer workflows using React and React Native. This end-to-end ownership is a key reason clients bring me in as a Full Stack Developer rather than splitting work across multiple roles. A significant portion of my work as a SaaS Developer and Backend Developer involves building internal platforms, dashboards and API-first systems that integrate external services. In these projects, I often collaborate closely with product, growth, or analytics teams, including teams focused on SaaS marketing by designing clean data pipelines, event tracking and backend logic that supports experimentation, reporting and lifecycle insights. When projects require AI-powered functionality, I bring hands-on experience integrating AI into backend systems. While my primary role remains Full Stack Developer and Backend Developer, I regularly implement AI-enabled workflows, data processing pipelines and LLM-driven features inside SaaS platforms. This allows me, as a SaaS Developer, to deliver AI functionality that is reliable, observable and cost-controlled rather than experimental. Clients typically work with me when they need: - a Full Stack Developer who can own frontend and backend - a SaaS Developer who understands long-term scalability constraints - a Backend Developer experienced with real production systems - mobile app developer and React developer experience as a software developer - backend services built with Node.js or Python by an experienced Python developer - web applications with complex workflows and business rules from a senior web developer - API-driven architectures and third-party integrations - SaaS platforms designed to support growth, analytics and SaaS marketing data needs - MVPs that can realistically evolve into long-term SaaS products A large part of my work as a Full Stack Developer, SaaS Developer and Backend Developer focuses on: - multi-role dashboards and internal tools - authentication, authorization and permissions - API-first backend system design - integrations with external platforms, including legacy CMS or WordPress-based systems when required My core work as a Backend Developer and Full Stack Developer covers: - backend services built with Node.js and Python - APIs, background jobs and integrations - databases such as PostgreSQL - modern stacks using tools like Supabase - AI-enabled backend features where they add real business value I regularly work on MVP builds and early-stage products as a SaaS Developer, with strong focus on solid backend foundations, sensible scaling paths and avoiding short-lived prototypes. Based on scope and timing, I work hands-on as a Full Stack Developer, SaaS Developer and Backend Developer and when useful, involve specialists from my team. Long-term results come from clarity and intentional system design. I focus on delivering software that teams can confidently run, maintain and scale.