I build AI systems that actually work in production, from Generative AI and LLM-powered SaaS platforms to intelligent automation workflows that save businesses real time and money. With 7+ years of experience in Artificial Intelligence, Machine Learning, and backend engineering, I specialize in delivering complete, end-to-end AI solutions using Python, FastAPI, Flask, and Django, not just models, but production-ready systems that drive measurable business results. AI & LLM Development I build intelligent applications powered by OpenAI, ChatGPT, Claude, Gemini, LLaMA, and Mistral. My expertise includes LLM fine-tuning, prompt engineering, AI agents, multi-agent systems, AI assistants, AI workflows, function calling, and tool use. I design and implement RAG pipelines (Retrieval-Augmented Generation) using vector databases like Pinecone, Weaviate, ChromaDB, and FAISS for document intelligence and enterprise knowledge bases. Generative AI Applications Content generation, text summarization, embeddings, semantic search, AI writing tools, AI copilots, and custom GPT solutions. I build Generative AI products that integrate directly into your business workflows. Machine Learning & Deep Learning Predictive analytics, recommendation systems, anomaly detection, classification, regression, time-series forecasting, and NLP solutions including text classification, named entity recognition (NER), sentiment analysis, and document processing pipelines. Computer Vision OCR systems, object detection, image classification, image processing pipelines, and document AI, built with OpenCV, YOLO, TensorFlow, and PyTorch. AI Automation & Integrations I connect AI models with real business systems using n8n, Zapier, and Make. This includes CRM integrations, SaaS tool automation, Stripe, PayPal, and internal workflow automation, reducing manual effort and scaling operations intelligently. Backend & API Engineering Scalable AI APIs, data pipelines, inference systems, and cloud-ready backend architectures using FastAPI, Flask, Django, REST, and GraphQL. I handle the full AI lifecycle: data processing, feature engineering, model training, deployment, and production integration. My Expertise & Core Technologies AI & LLM Frameworks: OpenAI API · LangChain · LlamaIndex · Hugging Face · Prompt Engineering · AI Agent Development · RAG Pipelines Machine Learning & Deep Learning TensorFlow · PyTorch · Scikit-learn · Predictive Analytics · NLP · Computer Vision Vector Databases & Search Pinecone · ChromaDB · FAISS · Weaviate · Semantic Search · Embeddings Backend & API Development Python · FastAPI · Flask · Django · REST APIs · GraphQL Databases & Caching PostgreSQL · MongoDB · Redis · MySQL Cloud & DevOps AWS · GCP · Docker · CI/CD · Cloud Deployment AI Automation & Integrations n8n · Zapier · Make · CRM Integrations · Stripe · PayPal · Webhook Automation · Data Scraping 📈 Results I've Delivered ✅ Built a recommendation engine that increased client conversions by 30% ✅ Developed an AI chatbot reducing customer response time by 70% ✅ Created OCR + document AI pipelines cutting manual processing by 50% ✅ Built AI automation systems reducing operational effort by 60% ✅ Delivered a load optimization MVP for a freight routing platform ($4,000 fixed project) Clients choose me because I combine deep AI expertise with clean engineering, scalable architecture, maintainable code, and solutions that actually get used in production. If you're building an AI product, AI SaaS platform, AI chatbot, RAG system, automation workflow, or need Generative AI integrations, I can take it from idea to production. Let's build something that works. Message me today.

Check Portfolio: AI Agents in Action for Data Intelligence With over 7 years of experience building production-grade AI systems, I specialize in transforming ambitious ideas into scalable, real-world solutions. Ready to take your AI project from concept to launch? Here's how I can help: 📚 RAG Specialist: Design and implement robust RAG pipelines that enhance LLM performance with dynamic, real-time knowledge retrieval. 🧠 LLMOps & Agentic System Architecture: Expertly built infrastructure for Large Language Models and autonomous, goal-oriented AI agents. 📊 Business-Driven AI Solutions: Translation of complex business challenges into impactful, measurable machine learning results. 🛠️ End-to-End Project Execution: Seamless transition from research and prototyping to scalable, production-ready systems.

🥇 Top 5% AI Talent 🥇 8+ years of experience 🥇$1M+ saved for clients via faster builds, smarter automation, and leaner ops 🥇 Fluent English and outstanding communication skills With over 8 years of experience and 45+ production-grade AI SaaS applications launched, I specialize in translating bold ideas into scalable, secure, and ROI-driven AI products. I work directly with founders, CTOs, and product teams to build robust LLM-powered systems, enterprise AI agents, and cloud-native MVPs that deliver real-world impact. I don’t just write code, I lead end-to-end AI product architecture, from selecting models and memory frameworks to scaling multi-tenant systems and ensuring compliance in sectors like healthcare and finance. Whether you're a startup founder, a VC-backed team racing toward MVP, or an enterprise in a regulated space, I bring the technical firepower and product intuition to build fast and scale smart. 🌟 What I Bring to the Table: ◾ AI SaaS MVP Leadership: Delivered 45+ AI SaaS platforms for clients in HR, healthcare, fintech, aviation, logistics, and education, always built with real users in mind and user experience at the core. ◾ LLM + Agentic Systems: Expertise in GPT-4 / GPT-5, Claude, LangChain, LangGraph, RAG, Pinecone, embedding pipelines, memory systems, tool calling, and multi-agent coordination. ◾ Full Stack Ownership: Architected entire backends (FastAPI, Node.js, Supabase), built secure frontends (Next.js, React), and deployed using Docker, GCP, and AWS. ◾ Enterprise-Grade Voice + Chat Agents: Experience in building SOC2, and HIPAA-compliant voicebots and 24/7 customer support agents for all types of businesses, including regulation-heavy industries like healthcare and banking, with split TTS (on-prem/API), Whisper/Deepgram STT, and ElevenLabs TTS. ◾ Data-Confidential AI Systems: Custom setups for banks, civil authorities, and clinics with strict PHI handling, audit trails, and on-prem inference engines. ◾ Custom APIs & Integrations: Slack, Google Drive, Stripe, Twilio, CRMs, EHRs, and Notion, deeply integrated with AI workflows. ◾ AI Deployment Flexibility: Delivered AI on cloud APIs (OpenAI, Claude, Bedrock), on-prem LLMs, and hybrid GPU+API stacks with audio merge pipelines for compliance. ◾ Deep Product Thinking: I understand pain points, not just prompts. I build systems with business ROI, not just clever wrappers. 📊 Notable Projects & Accomplishments: 🏆 Aquila (akquila.ch) – Automated candidate evaluation SaaS built for Swiss HR tech firm. Delivered MVP in 6 weeks. 65% hiring time saved. 🏆 Fransis AI (fransis.ai) – Contextual AI agent for internal support + HR ops. Doubled engagement, cut tickets by 40%. 🏆 Quota Queen – AI-driven sales rep simulator for roleplay & scoring. 90% interview automation. 🏆 GACA.ai (Saudi Civil Aviation) – Regulatory RAG system for Saudi Civil Aviation Authority. 250K docs, 90% time saved in audits. 🏆 GetSmooth.ai – Multi-agent coaching platform for SaaS consultants. 75% automation in workflows. Thought Leadership: 💡Mentored AI startups on MVP scoping, LLM workflows, and scaling architecture. 💡Advisor to digital health and edtech SaaS founders. 💡Host and speaker for internal AI architecture workshops (RAG, voice agents, agents). ⚙️ Tech Expertise: - LLM & NLP: GPT-4, Claude, Gemini, LangChain, LangGraph, OpenAI Assistants, Vector DBs (Pinecone, Chroma), Whisper, ElevenLabs, Deepgram, spaCy, HuggingFace, RAG pipelines - Backend: Python, FastAPI, Node.js, Flask, Supabase, PostgreSQL, Redis, Docker, Celery, Prisma, Firebase, Twilio, GCP, AWS, Azure - Frontend: Next.js, React, Tailwind, TypeScript, OAuth2/Auth0, Stripe, file upload, dashboards, PWA - Machine Learning: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, multimodal ML, timeseries forecasting, OCR/NLP pipelines - AI Agents: Real-time voice + chat agents, hybrid GPU/API deployments, tool calling (schedule_meeting, collect_email, CRM sync), data routing & compliance (PHI, audit logs) - MLOps: CI/CD, prompt evals, scalable vector DB setups, GPU & server infra - DevOps: Docker, Cloud Run, Render, Vercel, GCS/S3, GitHub Actions, DMZ & firewall routing (for banks) What clients achieve working with me: 🤝 Clarity from day one — I offer clear timelines, technical architecture, and implementation plans tailored to your goals. 🤝 Robust, scalable builds — I write clean, production-ready code that scales smoothly and meets security best practices. 🤝 Strategic product guidance — I translate business needs into tech blueprints, ensuring you build the right solution, not just a working one. 📅 Open for: - AI MVP Builds (Fixed Price or Milestone-Based) - CTO/Tech Co-Founder Roles - Contract-to-Hire AI Engineering or Product Roles - Multi-agent, LLM-heavy or enterprise AI platforms If you need an AI product lead who can do more than just prompt OpenAI, someone who can own the delivery of a full-scale AI platform that drives outcomes, let’s talk!

🚀 🥇 Top Rated Plus Engineer | Full Stack & Mobile | AI/ML, MLOps, AWS, Azure & Enterprise ETL I am Haziq, and I connect user applications to state-of-the-art neural architectures and cloud infrastructure seamlessly. With more than 40 enterprise systems built and delivered successfully on Upwork, along with 100% Job Success Score and Master’s Degree in Engineering, I design robust solutions that make difficult business logic easier. Unlike other developers that create only the simple front ends or simply wrap APIs for ChatGPT, I develop the whole system - from highly efficient web and mobile user interfaces to sophisticated multi-turn reasoning systems, customized neural networks, and extensive data ingestion pipelines on AWS and Microsoft Azure. ✅ What I Offer: • Full Stack & Mobile Engineering: Fully functioning web apps, efficient mobile app architecture, and responsive front end with integrated user interface with backing of powerful back end services. • AI Agent Building & Conversational AI: Self-driving agents with structured reasoning capabilities, memory, tools calling, and fast voice bots (n8n, Vapi, Retell AI, Twilio). • MLOps & Cloud Infrastructures: Full model training pipeline, automated versioning system, and deployment of models to be highly available on AWS and Microsoft Azure. • Data Science & Neural ETL: Fast automatic extraction of data, complex data cleaning pipeline, structural data analysis, and custom NNUE model training. 🎯 Production Accomplishments: • Designed production-ready multi-tenancy full stack platform architectures and automated backend infrastructures supporting webhooks and multi-tool synchronization of high throughput. • Designed custom workflow processes for training of NNUE neural network models for variant chess engines evaluations. • Implemented scalable ETL processes for past financial trading histories, automating data extraction, data cleansing, and storing vectors/database data. • Designed low-latency AI voice agents (Vapi/Retell AI) with integration to Twilio and GoHighLevel for automating workflows like humans do. • Improved and deployed open source Diffusion architecture-based image-to-image Virtual Try-On (VTON) API platforms. 💼 Technical Stack & Frameworks: • Core Programming: Python, JavaScript, Node.js, TypeScript, SQL • Front-End & Mobile: Web Application Development, Full-Stack Architecture, Mobile Integration UI • AI & Automation: Generative AI, Prompt Engineering, Large Language Models (LLMs), LangChain, n8n, Vapi, Retell AI, AI Bot Systems • Data Engineering & ML: MLOps, Data Science, Data Extraction, ETL Pipelines, Data Analysis, Retrieval Augmented Generation (RAG), Neural Networks • Cloud & Ecosystems: AWS (SageMaker, Lambda, ECS), Microsoft Azure, Supabase, Pinecone, PostgreSQL 🌟 What Makes Me Unique: I am extremely solution-driven and incredibly accountable for results. Not only do I code application logic or interface with APIs, but the whole product development process is my engineering challenge. Be it implementing a responsive mobile view, using data science to clean the messy historical datasets, or deploying an MLOps pipeline in the cloud with 99.9% uptime, I build systems that work. 📋 Services I Provide: • End-to-end Full Stack web and mobile application development • Scalable ETL pipeline design, high-volume data extraction, and deep statistical data analysis • Production ML pipeline development (MLOps) and deployment on AWS/Azure infrastructure • End-to-end n8n workflow setup, AI bot development, and multi-tool CRM integration • Custom Vapi & Retell AI voice agent development and low-latency conversation tuning • NNUE model training, custom tokenization, and chess engine variant mapping • AI SaaS MVP development from database architecture to secure production delivery 🤝 Working With Me: I take great emphasis on being very transparent, writing clean code and having dependable execution. I am good at converting difficult to define business cases into highly reliable automation. I can be there to provide technical consultation, implementation of solutions, and even support services. Are you ready to create your next high-performance software or increase efficiency of your business operations using top-notch machine learning algorithms? Just send me an invite or message. Keywords: Python, Generative AI, Prompt Engineering, Artificial Intelligence, Machine Learning, Data Extraction, ETL Pipeline, Data Analysis, Large Language Model, AI Agent Development, AI Bot, Microsoft Azure, AWS, Data Science, MLOps, Full Stack, Mobile Engineer, n8n, Vapi, LangChain, Conversational AI, SaaS Development, Chatbot Development.

𝗻𝟴𝗻 𝗔𝘂𝘁𝗼𝗺𝗮𝗝𝗼𝗻 𝗘𝘅𝗽𝗲𝗿𝘁 | 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 | 𝗔𝗜 𝗩𝗼𝗶𝗰𝗲 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝘀 | 𝗚𝗼𝗛𝗶𝗴𝗵𝗟𝗲𝘃𝗲𝗹 | 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 I build 𝗻𝟴𝗻 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻𝘀, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 and 𝗰𝘂𝘀𝘁𝗼𝗺 𝗔𝗜 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 that handle 𝘺𝘰𝘶𝘳 𝘭𝘦𝘢𝘥𝘴, 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴, 𝘢𝘯𝘥 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 ; so you don't have to. 𝗻𝟴𝗻 𝗪𝗢𝗥𝗞𝗙𝗟𝗢𝗪 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 → Lead extraction, enrichment, qualification & outbound sequences → Inbound lead routing, scoring, tagging & CRM sync → Slack & Notion automations (two-way sync, notifications, tasks) → API integrations & webhook workflows → Data processing, scraping & reporting pipelines 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀 → Appointment booking 𝐜𝐡𝐚𝐭𝐛𝐨𝐭𝐬 → Customer support bots (24/7 with 𝐑𝐀𝐆 knowledge base) → Lead qualificaEon & rouEng bots →𝐀𝐈 𝐯𝐨𝐢𝐜𝐞 𝐜𝐚𝐥𝐥𝐢𝐧𝐠 𝐚𝐠𝐞𝐧𝐭𝐬 (𝐑𝐞𝐭𝐞𝐥𝐥 𝐀𝐈, 𝐕𝐀𝐏𝐈, Bland AI) 𝗖𝗥𝗠, 𝗪𝗲𝗯 𝗔𝗽𝗽𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 → GoHighLevel setup: funnels, pipelines, SMS & AI callers → Custom web apps (React, Supabase, Google Apps Script) → Power BI, MicrosoE Fabric & Looker dashboards 𝗢𝗽𝗲𝗻𝗰𝗹𝗮𝘄 𝗔𝗶 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 → AI agents for lead generation, qualification & outreach → Autonomous task execution (emails, browsing, data collection) → Smart follow-ups & conversation handling (multi-channel) → Document processing (summarization, extraction, insights) → End-to-end workflow automation with decision-making AI 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 ✅ AI voice assistant for a medical office (Azure OpenAI, German/Swiss-German) ✅ MulE-client AI markeEng SaaS for law firms: n8n + Supabase + React, AI call scoring + ad-plaDorm data brains ✅ PredicEve healthcare audit system above an EMR: OCR referral intake, eligibility checks, claims & auto-appeals (dermatology pracEce) ✅ AI virtual fitness trainer MVP: 3D avatar + computer-vision pose correcEon, built for a startup investor raise ✅ Lumber distributor: Google Sheets → web app for inventory, orders & customer reporEng ✅ eFoil distributor: full order-lifecycle automaJon for 65+ EU dealers (Google Apps Script) ✅ AI agent qualifying 200+ leads weekly + OpenClaw mulE-agent installs 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 Workflow: 𝗻𝟴𝗻, 𝗠𝗮𝗸𝗲.𝗰𝗼𝗺, 𝗭𝗮𝗽𝗶𝗲𝗿 AI/LLM: 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗖𝗹𝗮𝘂𝗱𝗲, 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, LangGraph, Crew AI Voice AI:𝗥𝗲𝘁𝗲𝗹𝗹 𝗔𝗜, 𝗩𝗔𝗣𝗜,, Bland AI, ElevenLabs CRM: 𝗚𝗼𝗛𝗶𝗴𝗵𝗟𝗲𝘃𝗲𝗹, HubSpot Web & Data: React, Supabase, PostgreSQL, Airtable, NoEon Dashboards & BI: 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗘 𝗙𝗮𝗯𝗿𝗶𝗰, Tableau, Looker 𝗪𝗛𝗬 𝗠𝗘 ✅ 300+ projects delivered | $100K+ earned ✅ I own the full process → strategy → build → deploy ✅ From spreadsheets to AI: I speak data AND AI ✅ Quick replies, clear docs, no chasing ✅ EST working hours, fluent English, meeEngs & async both work 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲? 𝗦𝗲𝗻𝗱 𝗺𝗲 𝘆𝗼𝘂𝗿 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗮𝗻𝗱 𝗜 𝘄𝗶𝗹𝗹 𝗺𝗮𝗽 𝘁𝗵𝗲 𝗳𝗶𝘅.

I build AI agents that become business assets, work 24/7 and make your life easier. Most AI agents fail because builders use cookie cutter agents with some patchwork. I do things differently. You get a production-grade system that actually solves your business problem (not just a demo) which scales with your company growing. What I deliver: AI agents and systems that transform how you operate, or become the foundation of your next offering. Custom-built, deployed, ready for real users. How I work: Phase 1: Understand the problem, map the opportunity Phase 2: Build working proof, validate before scaling Phase 3: Production system, deployed, tested, usable Phase 4: Iterate, refine based on real usage, grow together This isn't a one-off engagement. Clients often start with a first build and continue through v2, v3, and beyond. Some partnerships run 2-3 years. Who this is for: Business owners and founders investing in AI transformation. You have vision, budget, and want a partner, not a vendor. Who this isn't for: Quick fixes, legacy cleanup, or bolting AI onto broken workflows. If you want fast and cheap, I'm not your guy. Background: MS in Computer Science. 10+ years applied AI. Published researcher. Clients repeatedly say: "Clarity came through building with you." Recent examples: • AI design platform: from idea to paying users, still evolving 2+ years later • RFQ automation system: replaced 10 browser tabs with one platform (has 8 agents), ongoing partnership Technical depth: Python, FastAPI, LangChain, OpenAI, RAG architectures, cloud deployment (GCP/AWS), fine-tuning, vector DBs, Claude Code. ✔ Consulting: 30-minute paid calls available for scoping, second opinions, or "should we build this?" conversations. DM me if you're building something.

I build production-grade 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 that achieve 𝟲𝟬–𝟴𝟬% 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 in live enterprise environments across healthcare, fintech, recruitment, and operational workflows. With a 𝐏𝐡.𝐃. 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐒𝐭𝐮𝐭𝐭𝐠𝐚𝐫𝐭 (𝐆𝐞𝐫𝐦𝐚𝐧𝐲) and a Habilitation from 𝐆𝐞𝐨𝐫𝐠𝐢𝐚 𝐓𝐞𝐜𝐡 (𝐔𝐒𝐀), I bring a rare combination of real-world production engineering experience and deep academic research expertise in 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. If you need an AI system that actually works in production, handles edge cases, logs every decision, and integrates cleanly into your existing operations that is exactly what I build. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Autonomous systems that reason, plan, and execute real tasks: • MCP-based orchestration routing tasks across sub-agents in real time. • Stateful flows with conditional routing, persistent memory, and LangSmith monitoring. • Human-in-the-loop checkpoints before any irreversible action fires. • Full action logging and automatic. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: LangGraph, CrewAI, AutoGen, OpenAI Agents, Claude, MCP, LangSmith 𝐑𝐀𝐆 & 𝐋𝐋𝐌 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 • Enterprise-grade knowledge assistants. • Structure-aware chunking, hybrid semantic and metadata search. • Vector database integration for scalable retrieval • Hybrid search and structured context systems 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Pinecone, Weaviate, Qdrant, LlamaIndex, OpenAI, Claude, Mistral, graph-based retrieval 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 • AI voice agents for sales, support, and operations • Real-time call reasoning and response generation • CRM integration and post-call automation • Speech-to-text and text-to-speech pipelines 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: VAPI, Twilio, ElevenLabs, Whisper, LiveKit 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐒𝐲𝐬𝐭𝐞𝐦 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 • Event-driven automation pipelines • Workflow automation for business processes • LLM layers for parsing, normalisation, and structured output at every step • API integrations with CRMs and internal tools 𝐓𝐨𝐨𝐥𝐬: n8n, Make, Zapier, HubSpot, Salesforce, GHL, FastAPI, REST APIs 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 • Predictive ML for scoring, ranking, and classification • Ensemble models (XGBoost, Random Forest, neural networks) in production pipelines • Adaptive grading and learning intelligence systems • Real estate tokenization analytics, Python, AWS, Neo4j • LoRA / QLoRA fine-tuning with full MLOps deployment 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Python, scikit-learn, PyTorch, XGBoost, Hugging Face, FastAPI, PostgreSQL, AWS, Neo4j 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 • Deterministic and controlled agent workflows • Traceable retrieval systems with structured outputs • Hybrid architectures combining LLMs + external tools • Human-in-the-loop safety for critical operations • Logging, observability, and failure handling built-in • ML models and LLMs treated as composable components 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 • Production-ready AI agent systems • Enterprise RAG and knowledge systems • End-to-end automation pipelines • API-driven AI integrations • Scalable, maintainable AI architectures 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐤 • 𝗟𝗟𝗠𝘀: Claude, GPT-4o, Gemini, Mistral, open-source models via Hugging Face routed across providers based on latency and cost tradeoffs using OpenRouter • 𝗔𝗴𝗲𝗻𝘁 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangGraph, CrewAI, LangChain, AutoGen, MCP orchestration • 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Pinecone, Weaviate, Qdrant, Milvus, graph-based retrieval, hybrid semantic + metadata search • 𝐕𝐨𝐢𝐜𝐞 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥: VAPI, ElevenLabs, Twilio, Whisper, LiveKit • 𝗙𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 & 𝗔𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻: LoRA, QLoRA, domain-specific model evaluation, Hugging Face deployment pipelines • 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier, webhook pipelines, REST APIs, HubSpot, Salesforce, Gmail, Microsoft 365, GHL • 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Python, FastAPI, TypeScript, PostgreSQL, Redis, Docker, CI/CD • 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, Tailwind CSS for AI-powered dashboards, operational interfaces, and client-facing agent portals • 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: AWS, Azure, GCP, Docker, Kubernetes, CI/CD pipelines 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐚𝐧𝐝 𝐦𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐚 𝐫𝐞𝐚𝐥𝐢𝐭𝐲!

I’m a Data Scientist focused on building intelligent, real-world 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that go beyond analysis and actually drive decisions and automation. With a strong foundation in Machine Learning, Deep Learning, and Big Data Analytics, I specialize in developing agentic AI solutions systems that can handle complex tasks, automate workflows, and operate with minimal human intervention. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨: I design and build end-to-end AI solutions, especially for data-heavy industries like 𝐫𝐞𝐚𝐥 𝐞𝐬𝐭𝐚𝐭𝐞, where automation, data extraction, and intelligent decision-making create real business value. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Autonomous AI agents for workflow automation Multi-step task execution systems AI-driven decision support systems 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Data Scraping & Web Automation Text Mining & Data Labelling Data Cleaning & Preprocessing ETL Pipelines (Extraction, Transformation, Loading) Data Analysis & Visualization 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive Modeling & Classification Systems Deep Learning Architectures (CNNs, RNNs, Transformers) Model Optimization & Deployment 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Object Detection & Image Classification Face Recognition & Emotion Detection Image Enhancement (Super-Resolution, Stitching) Video Analysis & Activity Recognition GANs, Vision Transformers 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 : Sentiment Analysis & Text Classification Topic Modeling & Text Clustering Language Translation Systems Transformer-based Models 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Distributed Data Processing (PySpark) Databricks & Azure Synapse Analytics Scalable Data Pipelines 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, PHP 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Pandas, NumPy, Matplotlib, Seaborn Scikit-learn, TensorFlow, Keras, PyTorch Hugging Face, SpaCy, NLTK, Gensim 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Git, GitHub, Jira 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: I focus on building solutions that are not just technically sound, but practical, scalable, and aligned with real business needs. Whether it's automating workflows, extracting insights from complex data, or deploying AI systems, my goal is to deliver solutions that create measurable impact. 𝐈’𝐦 𝐚𝐥𝐰𝐚𝐲𝐬 𝐨𝐩𝐞𝐧 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐧𝐠 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐢𝐝𝐞𝐚𝐬 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐢𝐦𝐩𝐚𝐜𝐭𝐟𝐮𝐥 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬.

AI Architect & Senior ML Engineer with 10+ years of academic + industry experience building production-grade intelligence systems, LLM pipelines, and multimodal AI. I design and deploy end-to-end ML architectures, including LLM orchestration, timeseries modeling, graph ML, OCR pipelines, and automated image-processing systems. Trusted by enterprises for high-reliability AI, data privacy, and scalable ML infrastructure.

Need a working Healthcare AI system — not just a model? I build end-to-end ML pipelines for medical imaging, genomics, and clinical EHR data that are reproducible, deployment-ready, and grounded in real clinical constraints. 🧠 I sit at the intersection of research and production: I've built chest X-ray classifiers, protein sequence models, and Text-to-SQL systems for clinical databases — not as experiments, but as systems that actually run. My background spans both academic research labs and industry ML roles, so I understand what it takes to move from a paper or prototype to something a clinical team can use. I don't just hand over a trained model. I deliver clean pipelines, documented code, and reproducible experiments — so your team can maintain, retrain, and trust what I build. What I can build for you: 🩻 Medical Imaging AI - Disease detection in X-ray, CT, and histopathology images - Classification, segmentation, and image retrieval pipelines - Handling real-world challenges: class imbalance, noisy labels, limited data 🧬 Genomics & Protein Modeling - Protein sequence analysis and disordered region prediction - Biomarker and gene mutation prediction models - Representation learning on biological sequence data 🏥 Clinical (EHR) Data & Predictive Modeling - Patient risk stratification and outcome prediction - Structured and unstructured clinical data analysis - Natural language interfaces for hospital databases (Text-to-SQL) ⚙️ End-to-End ML Development - Raw dataset → trained model → working API or prototype - PyTorch and Scikit-learn pipelines with full experiment tracking - Research papers converted into usable, benchmarked systems ✅ Top Rated Plus on Upwork — top 3% of talent on the platform ✅ 4.96 star rating across 2,200+ hours of healthcare AI work ✅ Built medical imaging models for COVID and pneumonia detection from chest X-rays ✅ Developed protein structure prediction systems used in active computational biology research ✅ Designed a Text-to-SQL system enabling natural-language queries on clinical hospital databases ✅ Kaggle Computer Vision certification If you're building a healthcare AI product, validating a research prototype, or working with complex medical data, send me a message and describe your project. I'll respond within a few hours with a clear path forward. 🚀