Most AI projects don't fail because of bad code — they fail because nobody checked if the results can actually be trusted. I build and validate intelligent systems: agentic pipelines, LLM-powered workflows, and the evaluation frameworks that make them safe to act on. My work sits at the intersection most engineers avoid: where technical results meet real-world accountability. Recently, my focus has expanded into agentic AI engineering and AI security — designing multi-agent systems with built-in quality loops, hallucination detection, bias auditing, and compliance filters. I don't just build pipelines; I build pipelines that check themselves. I've worked across computer vision, NLP, OCR pipelines, and clinical/academic research — including cell classification, ASR data, and publication-ready statistical analysis. Where I add the most value: — You need an agentic system that produces outputs you can actually trust and act on — You have a model or dataset and need to know if it's reliable before it goes anywhere near a decision — You're writing a thesis, paper, or clinical report and need analysis that survives peer review — Your stakeholders need to understand what the AI actually found — and what it didn't — You need an honest assessment of where your AI system could fail, be gamed, or cause harm I'll tell you honestly if ML isn't the right solution for your problem. That's rarer than it sounds. Core skills: Agentic AI Engineering · LLM Systems & Evaluation · AI Security & Governance · Hallucination & Bias Detection · ML Validation & Evaluation · Healthcare & Academic Data Analysis · NLP · Computer Vision · Statistical Analysis · AI Risk Assessment · Research Reporting Tools & Technologies Agentic & LLM Systems: LangGraph · LangChain · Groq · OpenAI · Pydantic · FastAPI AI Security & Governance: Hallucination detection · Bias auditing · Compliance filtering · Adversarial input testing Validation & Evaluation: MLflow · Weights & Biases · Arize AI · SHAP · LIME · Fairlearn · Great Expectations ML & Deep Learning: Python · PyTorch · TensorFlow · Scikit-learn · Keras Data & Statistics: R · IBM SPSS · Pandas · NumPy · SciPy · Statsmodels NLP & Computer Vision: Hugging Face Transformers · NLTK · OpenCV Data Quality & Pipelines: Great Expectations · DVC · Pandas Profiling Visualization & Reporting: Power BI · Matplotlib · Seaborn · Plotly Cloud & Infrastructure: AWS · GCP · Google BigQuery · Azure

Senior ML Engineer. Specializing in; Computer Vision | Medical Image Analysis | LLMs | NLP | Generative AI | Chatbot Development | Data Extraction, NER. Humayun Irshad is a Machine Learning and Computer Vision Leader, specialized in deep learning and active learning with domain expertise and a proven track record of designing, delivering and supporting innovative AI applications across multiple domains serving customers around the world. He is experienced in delivering Computer Vision and Data Science products and APIs for use cases including image recognition and classification, object detection and segmentation in 2D and 3D images/videos - application ranging from climate, satellite, medical, facial identity, self-driving vehicles, retail and fashion. With over a decade of experience in Machine Learning and Computer Vision practices, applying and training deep learning algorithms (CNN, RCNN, LSTM, Transformers), image processing methods, feature extraction techniques, pattern recognition, feature selection/regularization, boosting methodologies, generalized regression models, data visualization, analytic approximation, enumerative and graphical combinatorics, advanced implementations of operator algebras, probability theory, and statistics. Awards 🥇 Susan G. Komen Postdoctoral Fellowship 2017 🥇 Winner of ISBI Challenge on Breast Cancer Detection (Camelyon 2016) 🥇 Runner Up of ICPR MITOS Contest 2012 🥇 Winner of World Summit Youth 2009 🥇 Superwisdom Certified Core Skills & Expertise ✅ Computer Vision Applications ✅ Regulatory-Approved Medical AI ✅ LLM & Generative AI Proficiency ✅ Prompt Engineering & Model Fine-Tuning ✅ Production-Grade AI Deployment ✅ Speech Recognition & Audio Processing ✅ Generative AI Across Modalities ✅ RAG Chatbots & Intelligent Retrieval ✅ Cloud Platforms & MLOps Workflows Project Experience Highlights: Robotics Process Automation for Software Development (RPAD): - Developed and led the creation of a robust AI/ML infrastructure that drives the logic behind Record/Replay and Accessibility testing. - This infrastructure involves capturing AI bot interactions with various devices, storing and processing this data for AI models, and integrating a Data Labeling system. - It includes a dedicated model training environment using SageMaker and a real-time model serving system. Contributed to product development in the field of Robotics Process Automation for Software Development (RPAD). AI-Based Breast Cancer Diagnosis System: - Spearheaded the conceptualization and development of an AI-based Breast Cancer diagnosis system. - Managed a cross-functional team of 10 ML/CV engineers across two locations in the USA and China to bring this clinical diagnosis system to life. CAD System for Breast Screening: - Designed a CAD (Computer-Aided Detection) System for Breast screening. - This system includes the processing of Mammography, Tomosynthesis, and MRI images, encompassing tasks such as image enhancement, standardization, lump/tumor/mass detection, segmentation, classification, breast tissue characterization, and the computation of BIRAD Scores. - Notably, this system is patented and has FDA applications. Wildfire Situational Awareness Intelligence Platform: - Conceived and architected a next-generation wildfire situational awareness intelligence platform. - This platform aids fire authorities, utilities, and community organizations in proactively responding to wildfires before they become destructive. - Developed a Deep Learning-based early fire detection system by amalgamating data from various sources, including proprietary mountaintop cameras and geostationary satellites. - Orchestrated the deployment of data ingestion pipelines to facilitate continuous monitoring via images from cameras and satellites. AI-Based Workflow Enhancement for Volume Photography: - Currently engaged in the development and implementation of AI-based products aimed at optimizing workflows in volume photography. - These enhancements span various functions, including image culling, spill correction, color correction, cropping and straightening, teeth whitening, and braces removal. - Additionally, advanced algorithms have been crafted for knockout, retouching, and photo selection, particularly for yearbook production. PhD in Computational Pathology MS in Machine Learning I specialize in developing impactful AI solutions with a focus on advanced Computer Vision, LLMs, generative technologies, and FDA-cleared applications. I welcome opportunities to collaborate on building the next generation of AI innovations.

AI Agent Architect, 60+ production AI systems shipped, 100 success rate on Upwork. I build agentic infrastructure that runs businesses, not chatbot wrappers, not Zapier flows, not MVPs that die in week three. Most AI builds break the same way: hallucinations, no evals, no guardrails, no observability, runaway token cost. I architect the version that survives a year in production. What I build - AI agents and multi agent systems (LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI, AutoGen) - Voice AI agents that handle inbound and outbound calls (Vapi, Retell AI, ElevenLabs, Deepgram, Twilio) - Production RAG and Agentic RAG (hybrid search, reranking, Pinecone, Qdrant, Supabase pgvector, Chroma) - MCP server development for tool calling and enterprise data access - AI SDRs that qualify leads, book meetings, run follow ups 24/7 - AI receptionists for 24/7 call handling, scheduling, transfers - Custom AI SaaS platforms end to end (Next.js 15, FastAPI, Supabase, Postgres) - n8n, Make, Zapier, Claude Scheduled, GoHighLevel automations connected to agent backends Models and infra OpenAI GPT-5 and GPT-4o, Anthropic Claude Sonnet 4.5 and Opus, Google Gemini pro, Llama, Mistral. AWS Bedrock, Azure AI Foundry, Google Vertex AI. OpenRouter, vLLM, Ollama. Docker, Kubernetes, serverless. Recent work Autonomous pen-testing agent, multi agent content platform, lead qualification & conversting agent, AI image and video generation tools, production mobile apps with LLM backends. Why my agents get adopted Strong engineering plus a Master's in Marketing Psychology. Most AI projects fail at adoption, not at code. I design agents users keep using, not clever tech that dies in UAT. How I work One 30 minute scoping call; written architecture doc before any code, weekly demos, clean handoff. I ship in 2 week sprints with a working prototype by day 3. Send a message with what you're building, your deadline, and the one thing currently blocking the system. I reply within a few hours.

Looking to build something impactful across WEB & MOBILE with the power of AI and Data that actually moves the needle for your business? I'm a results-driven AI/ML Engineer and Full-Stack Developer with a Master's degree in Artificial Intelligence & Data Science and 5+ years of hands-on experience delivering intelligent, production-ready digital solutions. I bridge the gap between cutting-edge AI and real-world software engineering from raw data pipelines and ML model deployment to polished frontends, mobile apps, and cloud-native microservices. Whether you're a startup building your MVP or an enterprise automating complex workflows, I bring the right mix of technical depth, system thinking, and clean execution to get you there fast, secure, and scalable. 💡 WHAT I DELIVER ✅ Enterprise-grade AI/ML systems and GenAI-powered SaaS products ✅ End-to-end full-stack web and mobile applications ✅ Intelligent automation workflows that save time and reduce cost ✅ Scalable cloud architectures with modern DevOps practices ✅ Clean, maintainable code with production-ready architecture 🧠 AI / MACHINE LEARNING & DATA SCIENCE I design and deploy end-to-end ML systems — from exploratory data analysis and feature engineering to model training, evaluation, and production deployment. Core expertise includes Machine Learning, Deep Learning, NLP, Computer Vision, and Time-Series Forecasting. I work extensively with Large Language Models including GPT-4, Claude, Gemini, Llama 3, and HuggingFace Transformers. I implement Retrieval-Augmented Generation (RAG) for enterprise knowledge systems, build AI Agents and Multi-Agent Systems using LangChain and LangGraph, and manage full MLOps pipelines covering model versioning, monitoring, and retraining. I also work across AWS SageMaker, GCP Vertex AI, and Azure ML Studio for cloud-based ML deployment. Recent AI Projects: - Healthcare: Medical AI assistant converting patient conversations into structured EMR notes - Crypto: AI trading co-pilot for real-time investment decision support - Construction: PDF data extraction engine for architectural and permit documents - IT & Networking: Autonomous agents that proactively detect and resolve network issues - Marketing: AI-driven campaign planning and content generation platform 🤖 AI AUTOMATION & AGENTIC SYSTEMS I build intelligent automation that transforms how businesses operate — reducing manual overhead and unlocking data-driven decision-making at scale. This includes AI Agents for support, compliance, finance, HR, and supply chain workflows, multi-agent environments with autonomous decision-making, and workflow automation using Make, n8n, and Zapier. I also develop Generative AI tools for content generation, market research, and conversational bots. 💻 FULL-STACK WEB DEVELOPMENT I build modern, responsive, and scalable web applications from frontend UI to backend APIs and databases, architected for long-term growth. On the frontend I work with React.js, Next.js, and TypeScript. On the backend I use Node.js, FastAPI, Flask, Django, and Laravel. I design REST APIs, GraphQL, and WebSocket-based real-time systems, and work with databases including PostgreSQL, MySQL, MongoDB, Supabase, and BigchainDB. My architecture approach follows Clean Architecture, Domain-Driven Design, and microservices patterns. 📱 MOBILE APP DEVELOPMENT I deliver cross-platform mobile apps with native-quality performance, real-time features, and seamless API integrations. My primary mobile expertise is Flutter and Dart using Provider and BLoC state management. I also build with React Native for cross-platform iOS and Android, support native iOS development, and implement push notifications, offline support, and real-time features. ☁️ CLOUD, DEVOPS & INFRASTRUCTURE I handle production-grade deployments across major cloud platforms with modern CI/CD pipelines and containerized infrastructure. On AWS I work with Lambda, S3, EC2, ECS, and SageMaker. On GCP I use Cloud Run, Compute Engine, and Vertex AI. On Azure I work with ML Studio and Azure DevOps. My DevOps toolset includes Docker, Kubernetes, Nginx, GitHub Actions, and Bitbucket Pipelines. Programming languages I work in: Python, TypeScript, C++, PHP, Golang, and SQL. 🏆 WHY CLIENTS CHOOSE ME Master's-level AI/ML foundation combined with real production engineering experience. Full-stack ownership means you never need to coordinate multiple developers. I handle everything from data pipelines to UI. I build solutions for scale, not just demos, with clean architecture, proper testing, and documented code. I communicate clearly, deliver on milestones, and have been trusted by startups and tech-focused enterprises across 5+ years of professional work. Free consultation available for high-impact projects. "While rookies write code, professionals design systems that scale." 📩 Let's connect and discuss your project. I'm available to start immediately and deliver results aligned with your business goals.

I help startups and enterprises automate operations, scale efficiently, and future-proof their technology using AI-driven systems and full-stack development. With cross-industry expertise in Healthcare, Retail, Logistics, Hospitality, and Real Estate, I deliver secure, scalable, and high-performance digital solutions that drive measurable business growth. 🔹 Core Expertise ❇️ End-to-End Software Development • Build scalable solutions from MVP to enterprise-grade platforms • Expertise across frontend, backend, DevOps, and cloud infrastructure ❇️AI & Intelligent Automation • Development of agentic AI systems, chatbots, and automation platforms • LLM/GPT integrations, multi-agent orchestration, and RAG pipelines • Predictive analytics and AI-driven decision systems ❇️ Full-Stack Development • Strong command of Python, Node.js, React, Angular • Scalable architecture design with modern frameworks ❇️ Cloud & DevOps Engineering • Hands-on with AWS, Azure, Docker, Kubernetes • CI/CD pipelines for fast, reliable deployments ❇️ Mobile App Development • Native: SwiftUI, Kotlin • Cross-platform: React Native, Flutter • Focus on high-performance, mobile-first experiences ❇️ Voice AI Solutions • Intelligent voice agents using VAPI, Retell, and LLMs • Use cases include: • AI calling agents (inbound/outbound) • Virtual receptionists • Lead qualification & booking • Customer support automation • Sales outreach & IVR systems • CRM/ERP-integrated voice workflows 🔹 Domain Expertise ❇️ Workforce & Workflow Management • Workforce Management Systems (WFM) • Scheduling, shift optimization & dispatch automation • HRMS, payroll & attendance systems • Workflow automation & approval systems • KPI dashboards & performance tracking • CRM/ERP integrations for end-to-end operations ❇️ Supply Chain & Logistics • Warehouse (WMS) & Transportation (TMS) systems • Fleet tracking & route optimization • Inventory management & demand forecasting • IoT-based logistics tracking • Last-mile delivery platforms • AI-powered supply chain analytics ❇️ Healthcare & Digital Health • EMR/EHR system development • Telemedicine & virtual care platforms • Remote patient monitoring (RPM) • HL7 & FHIR integrations • HIPAA-compliant applications • Clinical decision support systems (CDSS) ❇️ Real Estate Technology • Real estate CRM & property portals • Lease & rental management systems • Mortgage & loan processing platforms • AI-based property valuation tools • Smart contracts & blockchain integrations • Document management & e-signature solutions ❇️ AI & Machine Learning • AI chatbots & virtual assistants • NLP & conversational AI systems • Computer vision solutions • Recommendation engines • Generative AI (LLMs, GPT, RAG) • Business process automation using AI ❇️ Retail & E-commerce • B2B & B2C eCommerce platforms • POS systems & omnichannel retail • Inventory & retail CRM systems • Loyalty & rewards platforms • AI-powered recommendation engines • Mobile commerce (M-Commerce) 🔹 Why Work With Me? • Proven experience delivering mission-critical platforms • Trusted by startups, funded companies, and enterprises • Focus on scalability, performance, and security • Strong understanding of business + technology alignment • Commitment to delivering measurable ROI and long-term value

AI Engineer | Claude Code | Anthropic API | LangGraph | CrewAI | AutoGen | MCP Servers | Multi-Agent Systems | Full-Stack AI Applications Most teams have figured out that a chatbot can answer a question, but the real work in a business is never a single question. It is a chain of steps: pulling data from one system, deciding what to do with it, taking an action in another tool, and following up. A plain chatbot cannot do any of that. It just talks. I build AI agents that actually do the work,systems that reason through a task, call the right tools, and carry it from start to finish without a human stepping in at every stage. I am an AI Engineer who builds agentic systems and the applications around them. My focus is Claude Code, the Anthropic API, and multi-agent architectures using frameworks like LangGraph, CrewAI, and AutoGen, along with MCP servers that connect a model to real tools, data, and context. This is the difference between a demo that answers prompts and a system that can take an instruction, break it into steps, and execute each one against your real tools and data. Here is the kind of work I deliver: - Build autonomous agents that handle multi-step workflows, where the model decides what to do next instead of following a rigid script. - Build MCP servers that give a model secure, structured access to your databases, APIs, and internal tools, so it can act on real information rather than guess. - Build multi-agent systems where specialized agents hand work off to each other, one researching, one drafting, one verifying, to handle tasks too complex for a single prompt. - Build full-stack AI applications with clean backends, robust API integrations, and user-friendly frontends, because an agent is only useful when it is part of a real product. Few examples of what this looks like in practice: Project 1: An AI meeting agent that captured, summarized, and acted on meeting content. Project 2: A full-stack Claude integration with a clean frontend and backend, where AI functionality was engineered into the core of the product. Project 3: An MCP server or multi-agent workflow that connected a model to real tools and executed multi-step tasks. What makes agentic work different? An agentic system is taking actions on its own, so it has to be built carefully. I design agents with proper guardrails, clear tool boundaries, error handling, and fallback mechanisms for when a step fails. This keeps the system reliable and predictable instead of going off the rails the moment something unexpected happens. I treat these as production systems, with documentation, testing, deployment support, and post-handover assistance. Let's build something useful If you want to move past a chatbot that only talks and build an AI system that can genuinely take action and complete real work, send me a message. Tell me the task you want handled end-to-end, and we will design the agent that does it. Tufail

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐬𝐡𝐢𝐩𝐬. Founder-engineer vibes, sleeves rolled up, results on the board. I turn messy real-world video into stable, low-latency systems your team can trust, and your CFO can love. 𝐍𝐨𝐭𝐜𝐡𝐚 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐆𝐮𝐲 😎 I don’t stop at a cool demo. Shipping LootMart (hyper-local marketplace) taught me the full stack around models: clean APIs, rock-solid data contracts, observability, security, and predictable costs. That’s why my CV/ML services behave like products, not science projects. 𝐖𝐡𝐚𝐭 𝐈 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐃𝐨 - Computer Vision & Video Analytics (2D/3D): detection (YOLO/DETR), multi-object tracking (ByteTrack/DeepSORT), segmentation (U-Net), OCR/document AI, pose/re-ID, visual search & face/product matching (Siamese + Triplet Loss), point clouds & geometry. - High-Throughput Inference: NVIDIA Triton (dynamic batching, concurrent models, HTTP/gRPC), TensorRT (FP16), ONNX Runtime; autoscaling containers with health checks and graceful rollouts. - Robust Ingestion: multi-RTSP pipelines with back-pressure control using OpenCV, FFmpeg, PyAV/decord so frames don’t mysteriously vanish under load. - MLOps & Services: FastAPI/Flask gateways, worker queues, CI/CD, Docker + Nginx; W&B for experiments; versioned datasets; reproducible training. - Data & Integrations: Postgres (schema design, RLS, SQL/PLpgSQL), Redis, vector DBs (Milvus/Qdrant), webhook-driven architectures, n8n workflows for ETL/alerts, and MCP (Model Context Protocol) to wire AI tools into your internal systems. - Selective Full-Stack Glue (when it helps): Next.js app layers, secure webhooks, auth, real-time updates, and crisp dashboards so stakeholders can see impact. 𝐏𝐫𝐨𝐨𝐟 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐮𝐝𝐝𝐢𝐧𝐠 (𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐢𝐧𝐬) 1. Triton-backed real-time CCTV analytics across multiple cameras on commodity GPUs (dynamic batching = buttery latency). 2. Visual matching pipelines (Siamese/Triplet) for search/dedupe with rigorous evals and W&B tracking. 3. Heavy research models → ONNX/TensorRT → low-latency services that actually survive production traffic. 4. Production plumbing that lasts: Postgres-first data contracts, webhook fan-out, n8n automations... no brittle glue. 𝐇𝐨𝐰 𝐖𝐞’𝐥𝐥 𝐖𝐨𝐫𝐤 (𝐑𝐎𝐈 𝐅𝐢𝐫𝐬𝐭, 𝐀𝐥𝐰𝐚𝐲𝐬) 1. 30-min discovery → lock in the KPI (latency, accuracy, throughput, cost). 2. Roadmap & estimate → phases, risks, acceptance tests. 3. Build & validate → baselines first, then iterate; measurable deltas each milestone. 4. Handoff & scale → docs, runbooks, and knowledge transfer so your team owns it. 𝐂𝐨𝐫𝐞 𝐒𝐭𝐚𝐜𝐤 Python • PyTorch • TensorRT • ONNX Runtime • NVIDIA Triton • OpenCV • Kornia • FFmpeg • PyAV/decord • Postgres • Redis • Milvus/Qdrant • FastAPI/Flask • Next.js • Docker • Nginx • Weights & Biases • Webhooks • n8n • MCP 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Consulting/part-time (fractional) engagements: architecture reviews, performance tuning, prototypes, or owning a CV/ML workstream. Top-rated on Upwork. Minimum $100/hr. If you want production-ready computer vision, real-time video, reliable pipelines, and clear ROI, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤. I’ll map your goal to a pragmatic plan and ship results you can measure.

I help startups and businesses build 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏𝐬 and 𝐀𝐈 𝐌𝐕𝐏𝐬 that turn ideas into scalable, production-ready products. With 6+ years of backend development experience and 13+ successful projects delivered on Upwork, I specialize in developing AI-powered SaaS applications using Python, FastAPI, OpenAI, LangChain, vector databases, and modern cloud infrastructure. Whether you're validating a new startup, launching the first version of your SaaS product, or integrating AI into an existing platform, I build reliable applications that are designed for rapid iteration, long-term scalability, and real business impact. 𝐈 𝐝𝐨𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 : I help founders ship faster, validate product ideas, and create technical foundations that support future growth. ### What I can help you build: ✔ 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 End-to-end SaaS MVP development for startups, including authentication, multi-tenancy, dashboards, admin panels, user management, subscription billing, payment integrations, REST APIs, cloud deployment, and scalable backend architecture. ✔ 𝐀𝐈 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Rapid development of AI MVPs using OpenAI, Claude, Gemini, and modern LLM frameworks. Whether you're building an AI startup or adding intelligent features to your product, I can help you launch quickly without compromising scalability. ✔ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 Autonomous AI agents, multi-agent systems, tool-calling workflows, AI automation pipelines, reasoning agents, API-connected agents, human-in-the-loop systems, and business process automation. ✔ 𝐑𝐀𝐆 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐈 Retrieval-Augmented Generation (RAG) systems, document intelligence platforms, PDF chat applications, semantic search, embeddings, vector databases, internal knowledge assistants, enterprise search, and AI-powered knowledge management systems. ✔ 𝐎𝐩𝐞𝐧𝐀𝐈 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Custom GPT applications, AI copilots, conversational AI systems, OpenAI API integrations, Claude and Gemini integrations, prompt engineering, structured outputs, Responses API, Agents SDK, and production-grade LLM workflows. ✔ 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Scalable backend systems using Python, FastAPI, Django, PostgreSQL, Redis, Celery, REST APIs, WebSockets, Docker, AWS, Azure, and Supabase for AI SaaS products and startup MVPs. ✔ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 AI-powered workflow automation for customer support, lead qualification, CRM automation, document processing, reporting, internal productivity tools, and operational workflows. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 & 𝐀𝐈 𝐌𝐕𝐏 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 • AI-powered Commerce Intelligence SaaS Platform for ecommerce brands • AI-Powered Property Management Platform • AI Tax Assistant with document-aware responses • AI-powered Learning Management System (LMS) • Multi-Agent Decision Support Platform using LLM orchestration 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 OpenAI GPT • Claude • Gemini • LangChain • LlamaIndex • FastAPI • Django • Python • Pinecone • Weaviate • Qdrant • PostgreSQL • Redis • Docker • AWS • Azure • Supabase 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞 ✔ Startup-focused MVP development approach ✔ Production-ready backend architecture ✔ Strong AI and LLM engineering expertise ✔ Clean, scalable, and maintainable code ✔ Fast communication and reliable delivery ✔ Long-term technical partnership beyond MVP launch ⭐ 𝐂𝐥𝐢𝐞𝐧𝐭 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 *"Great work and pleasant collaboration! I highly recommend Jahanzeb."* If you're looking for a developer to build your SaaS MVP, AI MVP, AI agent platform, RAG application, or production-ready AI SaaS product, let's discuss how we can turn your idea into a scalable solution that delivers value from day one.

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.

I'm Fady, an AI Engineer with a strong foundation in computer vision, Gen AI , LLMs andDeep Learning. With a proven track record on Upwork, I've successfully delivered over 30 projects, earning consistent 5.0-star ratings for my technical proficiency, clear communication, and innovative solutions. 🚀 What I Offer Generative AI Chatbots: Building intelligent, conversational agents using large language models (LLMs) to automate customer support, lead generation, and personalized user experiences. AI & Machine Learning: Designing and optimizing models for tasks such as object detection, classification, and predictive analytics. Computer Vision: Developing applications for sports analytics, OCR, and real-time image processing. Robotics & Control Systems: Engineering precise control mechanisms for robotic manipulators and automation systems. Technical Tutoring: Providing guidance in mathematics, physics, and Python programming to students and professionals. 🏆 Highlights from My Work History AI/ML Specialist for Model Training Project: Delivered high-quality models ahead of schedule, praised for expertise and reliability. Web Development: Successfully completed web projects with well-annotated code, ensuring maintainability. Machine Learning Tutoring: Assisted master's level students in understanding complex ML concepts, receiving positive feedback for clarity and support. Computer Vision in Sports Analysis: Developed applications for analyzing sports footage, enhancing performance insights. 🤝 Why Choose Me? I prioritize transparent communication and a collaborative approach to ensure that your project's goals are met with precision and innovation. My commitment is to deliver solutions that not only meet but exceed expectations, fostering long-term professional relationships. 📩 Let's Collaborate If you're seeking a dedicated professional to bring your AI, machine learning, or robotics project to life, feel free to reach out. I'm here to help turn your vision into reality.