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I help companies turn cutting-edge AI into production-ready products. As a Data Scientist & Senior ML Engineer with 7+ years of experience, I deliver end-to-end AI solutions across enterprise, SaaS, and public-sector environments — for clients in Pakistan, Singapore, and the US. CORE EXPERTISE • Generative AI & LLMs: Production LLM features using Claude (AWS Bedrock), GPT-4, and LLaMA — document summarization, structured data extraction, and RAG-based AI agents over PDFs and SQL databases. • NLP: Intent classification, sentiment analysis, NER, and multilingual (Urdu/English) processing for enterprise call centers and customer feedback. • Computer Vision: Real-time anomaly detection, object/action recognition, and facial recognition systems (98% accuracy on AWS Panorama). • Enterprise ML & Data Engineering: Production ML platforms on Databricks (Unity Catalog, MLflow, Airflow) and SAP (Datasphere, Analytics Cloud), serving millions of users. • Cloud & MLOps: AWS (Bedrock, SageMaker, EMR, Panorama, S3), GCP, Docker, and CI/CD pipelines. RECENT PROJECTS • In-train safety anomaly detection (computer vision) deployed to production for SBST, Singapore. • Advanced analytics platform on SAP S/4HANA + Databricks serving ~4.8M consumers — customer segmentation, propensity-to-default scoring (LightGBM/XGBoost + SHAP), and electricity-theft detection. • LLM document summarization on Amazon Bedrock (Claude 3.5 Sonnet), cutting analyst review time on SEC filings. • GPT-4/Claude contract-parsing pipeline that reduced manual processing effort by 70%+. • Azure-to-AWS data pipeline migration (EMR/S3), improving throughput and lowering infrastructure cost. WHY WORK WITH ME Full-cycle delivery from prototype to production, clear communication, and a track record of 5-star outcomes across 22+ Upwork jobs. Let's turn your AI vision into a market-ready solution. Skills: LLMs, RAG, Generative AI, NLP, Computer Vision, Databricks, SAP, AWS Bedrock, MLOps, PyTorch, LightGBM, XGBoost, LangChain, MERN, Power BI.

Same story every time: fast to build, fragile to run. Lovable, Bolt, Base44, Replit, Cursor, and Claude Code can get you a working app fast. But when it starts breaking under real users, you need someone who can read the code, understand the architecture, and fix the root cause, not just prompt around it. That's what I do: build, audit, repair, and productionize AI SaaS applications. With 10+ years of full-stack engineering experience, I've delivered everything from founder-led MVPs to enterprise platforms, and today I apply that experience to AI-generated applications that need to perform in production. Six weeks in, a feature breaks, an API call starts failing, performance drops, or the "vibe coder" who built it stops replying. That's when I step in. I work across the full stack: Next.js, React, Node.js, TypeScript, Supabase, PostgreSQL, Stripe, AWS, and AI integrations including Claude, OpenAI, Gemini, LangChain, LangGraph, MCP, and vector search. Recent rescue work: * Rebuilt an AI-generated acoustic analysis platform to handle multi-terabyte research datasets, improving data retrieval by 5x and file loading by 240% * Built an MCP-powered Claude agent that lets a wholesale business query live inventory, customer balances, sales trends, and profitability in plain language * Engineered a production AI SaaS platform integrating 65+ text, image, audio, and video models across nine providers * Took over and launched an unfinished fitness marketplace across web, iOS, and Android with Stripe subscriptions, bookings, and QR check-in WHAT I FIX: * Authentication and session issues * Supabase, PostgreSQL, and database problems * Slow queries and performance bottlenecks * AI integrations, agents, RAG, and API failures * Stripe, subscriptions, and payment flows * Deployment failures on Vercel, AWS, and other platforms * Exposed secrets, weak permissions, and security gaps WHAT YOU GET: * A direct diagnosis before any fix starts, no shortcuts stacked on shortcuts * Senior-level technical ownership, not isolated development tickets * Milestone updates at every stage, not just a final reveal * 30 days of post-delivery support included The worst part of a broken app isn't the bug. It's not knowing whether you're looking at a 10-minute fix, an architectural problem, or a full rebuild. Send me your app URL, codebase, or requirements. I'll tell you what should be retained, repaired, rebuilt, or simplified, and what it will cost before you commit to anything.

Most AI systems look impressive in demos — but fail when connected to real users, real data, and real scale. I help businesses build production-ready AI systems using scalable Java/Spring Boot backends and Python (FastAPI, Langflow) — integrating AI agents, RAG, and LLMs securely with real business data. With 7+ years of experience, I specialize in building secure, high-performance, multi-tenant systems that are designed to scale in production. 🧠 What You Can Get AI-powered backend systems designed for real users RAG pipelines that connect models with your data Agentic AI workflows that automate decisions and processes Secure APIs with RBAC, OAuth2, JWT, and Keycloak Scalable multi-tenant SaaS platforms Microservices and event-driven architectures ⚙️ How Your System Is Built Built with proven technologies that ensure reliability: Java (Spring Boot, Microservices, REST APIs) Python (FastAPI, LangChain, Langflow) LLMs, RAG, AI Agents AWS, Docker, Kubernetes PostgreSQL, MongoDB, Vector databases 💼 Why This Works for You Your system is built for production, not demos Your data stays secure and properly integrated Your architecture is designed to scale as you grow Your product is structured for long-term maintainability 🤝 What to Expect Clear architecture and execution plan Regular updates with working progress Focus on long-term success, not quick fixes If you’re building an AI-powered product or need a backend that can handle scale, let’s talk.

✅ Upwork's Top Choice ✅ Senior Full Stack & AI Engineer ✅ 100+ AI MVPs, RAG Systems & Scalable SaaS Platforms Delivered Worldwide ✅ Top 1% of Upwork Talent What I deliver: ✓ Voice AI & Conversational Agents — Production voice agents using LiveKit, Telnyx, Twilio SIP trunking, Deepgram STT, ElevenLabs TTS, and OpenAI Realtime API. Inbound receptionists, outbound campaigns, lead qualification, appointment booking, and human handoff. Real telephony, real conversations, real business outcomes. ✓ Advanced AI, RAG & LLM Engineering — Building production-grade RAG pipelines, AI agents, and LLM-powered applications using Generative AI, Vector Databases, Computer Vision, and NLP. I connect AI to your proprietary data through secure, retrieval-augmented architectures and custom AI assistants built for real business use cases. ✓ Full-Stack AI SaaS Development — Delivering scalable, high-performance AI SaaS MVPs and multi-tenant platforms using React, Next.js, FastAPI, and Django. I specialize in SaaS architecture that bridges the gap between cutting-edge AI capabilities and production-ready web applications. ✓ AI Cloud & Infrastructure Engineering — Real-time AI inference pipelines on AWS (Bedrock, SageMaker, Lambda, EC2, S3), Azure (OpenAI Service, AI Foundry, Functions), and GCP (Vertex AI, Cloud Run). Robust DevOps with Docker, Kubernetes, Terraform, CI/CD — built to scale with your SaaS product and survive real production traffic. ✓ Intelligent Multi-Agent & Agentic AI Systems — Designing coordinated multi-agent AI systems, autonomous RAG workflows, and AI-native SaaS applications that automate complex business processes, reduce operational overhead, and eliminate bottlenecks at scale. ✓ Big Data, Backend & Cloud Engineering — Processing massive datasets for AI workloads, building real-time prediction pipelines, and designing robust cloud architectures with strong DevOps practices — built to scale with your SaaS product from day one. Whether you're building a healthcare AI platform, fintech AI SaaS, RAG-powered knowledge base, AI Voice Agent, or an LLM-integrated MVP — I bring the full-stack AI expertise to take it from concept to production. My AI & Engineering Stack: 🔹 LLMs & APIs: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Mistral, LLaMA 3, Mixtral, Falcon, Gemma, Ollama 🔹 Voice & Telephony: LiveKit, Telnyx, Twilio, Deepgram, ElevenLabs, Whisper, OpenAI Realtime 🔹 AI Frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, Haystack, Semantic Kernel 🔹 Vector Databases: Pinecone, Chroma, Qdrant, Weaviate, FAISS, Milvus, pgvector 🔹 Cloud AI: AWS Bedrock, SageMaker, Lambda · Azure OpenAI, AI Foundry · GCP Vertex AI 🔹 Backend: Python (FastAPI, Django, Flask), Node.js (Express, NestJS), PostgreSQL, MongoDB, Redis 🔹 Frontend: React, Next.js, TypeScript, Tailwind, Redux Toolkit, Vue, Nuxt 🔹 DevOps & Cloud: Docker, Kubernetes, Terraform, GitHub Actions, AWS, Azure, GCP, Vercel 🔹 Computer Vision & NLP: OpenCV, YOLO, Hugging Face Transformers, spaCy, custom fine-tuning 🔹 Fine-Tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, Hugging Face Domains I build for: Healthcare AI · Fintech SaaS · Real Estate Voice Agents · Legal AI · E-commerce AI · RAG Knowledge Bases · AI Marketplaces · LLM MVPs · Customer Support Automation · Sales & Lead Qualification I don't disappear after kickoff. I respond fast, ask the right questions before writing code, ship working demos instead of status updates, and write production code that doesn't fall over the first time real traffic hits it. I'm comfortable working solo as the technical founder you don't have, or embedded in your existing engineering team. let's hop on a free consultation call to align on your AI architecture, RAG strategy, SaaS roadmap, and execution plan. Send me your project details and I'll tell you honestly whether I'm the right fit, what's realistic, and how fast we can ship.

Building AI Systems That Actually Reach Production I'm a Senior Solution Architect with 13+ years of experience designing AI-powered applications, scalable backend systems, and distributed platforms for startups, enterprises, and government organizations. I don't just build demos—I architect production-ready systems that are secure, observable, and built to scale. I work hands-on every day and use modern AI-assisted development tools such as Claude, Gemini, and OpenAI to accelerate delivery while maintaining engineering quality, security, and maintainability. What I Build 🧠 Enterprise AI Agentic AI workflows LLM applications Retrieval-Augmented Generation (RAG) AI automation Knowledge assistants Secure on-prem and air-gapped AI deployments 🏗️ Backend & Architecture High-performance APIs Distributed systems Event-driven architectures Microservices Cloud-native platforms High-availability backend services 🔒 Secure Realtime Systems Matrix Protocol Matrix Synapse Element X / Element End-to-End Encryption Federated communication Operational collaboration platforms Recent Projects ✔ AI-powered enterprise assistants with secure RAG pipelines ✔ Matrix-based secure communication platforms ✔ Drone telemetry and situational awareness systems ✔ Operational command & control platforms ✔ Distributed backend systems processing millions of events ✔ Enterprise AI automation workflows Tech Stack AI OpenAI • Claude • Gemini • LLMs • RAG • LangChain • MCP • Ollama • Vector Databases Backend Python • Node.js • FastAPI • Express • REST APIs • GraphQL • WebSockets Architecture Microservices • Event-Driven • CQRS • Distributed Systems Infrastructure Docker • Kubernetes • Linux • CI/CD Data PostgreSQL • Redis • Neo4j • Elasticsearch Messaging Kafka • RabbitMQ • NATS • Matrix Protocol What Clients Can Expect ✅ Clean, production-ready code ✅ Architecture that scales ✅ Fast communication ✅ Security-first engineering ✅ AI solutions designed for production—not prototypes ✅ A senior architect who can design, build, and lead delivery If you're building an AI product, modernizing a backend platform, integrating LLMs, or designing a secure realtime system, I'd be happy to discuss your project.

🏆 Top Rated | ✅ 100% Job Success | Multi-agent systems in production for legal, e-commerce & enterprise clients Message me for a free 15-minute architecture review of your AI project. Most AI products don't fail on ideas — they fail in production. Fragile chains, hallucinating chatbots, demos that collapse under real users. I build the version that survives: correct agent architecture, observability, and evals from day one. WHAT I BUILD • Multi-Agent Systems — LangGraph + Claude pipelines with routing, memory, and human-in-the-loop • RAG Systems — accurate document Q&A over PDFs, SQL, and vector DBs (Pinecone, pgvector) • MCP Servers — custom Model Context Protocol servers connecting your data and tools to Claude, Cursor, and agent workflows • AI Automations — LLM pipelines wired into CRMs, email, and internal tools • Full-Stack AI Products — Next.js/React frontends and FastAPI/Node backends around the AI core RECENT HIGHLIGHTS • Billing Guidelines Agent for law firms — LangGraph multi-agent system that cut manual processing time by 70%+ • Multi-agent RAG pipeline — query planning → hybrid retrieval → synthesis, running in production • LinkedIn Smart Leads — full-stack outreach SaaS with automated lead scoring, built end to end Certified Kubernetes Application Developer (CKAD) and DeepLearning.ai Certified Agentic AI Developer. 5+ years shipping software, the last several focused on LLM systems. Got an AI project that needs to work in production, not just in a demo? Hit Invite and let's design the architecture together. Skills: LangGraph, LangChain, RAG, Retrieval-Augmented Generation, Multi-Agent Systems, AI Agents, Claude, Anthropic API, MCP, Model Context Protocol, OpenAI API, LLM, Chatbot Development, Prompt Engineering, LLM Evaluation, LangSmith, FastAPI, Python, TypeScript, Node.js, NestJS, Next.js, React, React Native, Pinecone, pgvector, Vector Database, Semantic Search, Supabase, PostgreSQL, MongoDB, Docker, Kubernetes, CI/CD, AI Integration, API Development, SaaS, MVP Development, AI Automation, Workflow Automation