EXPERT-VETTED (TOP 1%) | 100% JOB SUCCESS Most AI projects look finished in a demo, then break in production. I build production-grade software. That means it holds up with real users : Scales under real traffic, not just a demo Secure and tested, not "looks fine, ship it" Clean architecture your next hire can build on Costs you can predict before you commit 25 years building software. Now my team and I direct AI agents across the full build and review every line before it ships. Fast, but not vibe coding. I AM A FIT IF YOU Have an idea but no technical leadership to run the build Have a vibe-coded app generating MRR but need a stable foundation under it Started building but need architecture and senior oversight to finish Want to use AI without losing control of your codebase REAL RESULTS A traditional build was quoted at $1.2M. My team and I delivered it for $95K, same scope. Replaced a client's manual spreadsheet process with a web app. Revenue up 71%. Architecture that held through 500% traffic growth 79M pricing calculations a month, in production WHAT WORKING WITH ME LOOKS LIKE Full team: I bring engineers, a product owner, a designer, and QA. I lead the architecture. AI executes. Nothing ships without senior review. Advisory: I come in as your technical advisor. Same judgment, scoped to what you need. Either way, there's a senior engineer on it from the first call to the final release. RECENT PROJECTS Automotive SaaS: A real-time pricing platform running 79M price combinations a month 24/7. AI Knowledge Platform: A voice-first knowledge platform that works offline at sea. Captures what senior crews know and makes it searchable for the next crew. Live broadcast with AI: A multi-agent engine that writes and narrates stories live, adapting to the audience in real time. TECH STACK AI/ML: LLMs, RAG, vector search, multi-agent orchestration Backend: Python, Node.js, TypeScript Frontend: React, React Native, Unity Cloud: AWS, Docker, Kubernetes Data: SQL, NoSQL, vector DBs BEFORE YOU COMMIT TO ANYTHING Book 30 minutes with me directly. Honest feedback on feasibility, realistic cost, and fit. No pitch. No commitment. NDA first.

I am an Electrical Engineer. I completed my undergraduate with a 100 percent merit scholarship. With commendable academic performance, I have hands-on experience working on projects in automation, deep learning, and image processing domains. Finally, I have experience managing events and opportunities for women empowerment through the Women in Tech (WiT) Karachi chapter of Microsoft Student Partner (MSP) and Women in Science and Engineering (WiSE) club at Habib University.

AI Engineer | LLM Specialist | Machine Learning Engineer | Data Scientist | Automation Expert I help businesses leverage Artificial Intelligence, Large Language Models (LLMs), Machine Learning, Data Science, and Workflow Automation to streamline operations, reduce costs, and unlock new opportunities for growth. With 6+ years of experience building production-ready AI and automation solutions, I have successfully delivered intelligent systems ranging from AI agents and predictive analytics platforms to business process automation workflows that save hundreds of hours of manual work. 💡 Core Expertise AI & Large Language Models (LLMs) ✅ OpenAI (GPT-4/5), Claude, Gemini, Llama, Mistral, DeepSeek ✅ AI Agents & Multi-Agent Systems ✅ RAG (Retrieval-Augmented Generation) ✅ Chatbots & Virtual Assistants ✅ Prompt Engineering ✅ Fine-Tuning & Model Optimization ✅ Document Intelligence & Knowledge Bases ✅ Semantic Search & Vector Databases Machine Learning & Data Science ✅ Predictive Modeling ✅ Classification & Regression ✅ Time Series Forecasting ✅ Recommendation Systems ✅ Statistical Analysis ✅ Data Cleaning & Feature Engineering ✅ Business Intelligence & Analytics Automation & AI Workflows ✅ n8n ✅ Make (Integromat) ✅ Zapier ✅ LangChain ✅ LangGraph ✅ CrewAI ✅ AutoGen ✅ API Integrations ✅ CRM Automation ✅ Email & Lead Generation Automation ✅ Workflow Orchestration ✅ Data Pipeline Automation Deployment & MLOps ✅ FastAPI, Flask ✅ Docker ✅ AWS, Azure, GCP ✅ CI/CD Pipelines ✅ Kubernetes ✅ Production AI Systems --- Featured AI & Automation Projects AI Customer Support Agent • Built an AI-powered support assistant using OpenAI, LangChain, and Pinecone • Integrated company documentation and FAQs using RAG architecture • Reduced response times by over 80% • Deployed via FastAPI and Docker Intelligent Document Processing System • Automated extraction of information from invoices, contracts, and PDFs • Combined OCR, LLMs, and workflow automation • Integrated with Google Drive, Airtable, and Slack • Eliminated hours of manual data entry End-to-End Lead Generation Automation • Built a fully automated lead generation pipeline using n8n and OpenAI • Scraped and enriched leads from multiple sources • Generated personalized outreach emails using AI • Automatically pushed qualified leads into HubSpot and Google Sheets AI Email Automation Assistant • Developed an AI workflow that classifies incoming emails, drafts responses, and routes requests automatically • Connected Gmail, Slack, Notion, and CRM platforms • Reduced manual email processing workload by 70% Business Intelligence Automation Dashboard • Automated data collection from multiple APIs and databases • Built real-time dashboards using Streamlit and Power BI • Automated daily and weekly reporting processes Multi-Language Text Summarization Platform • Summarizes documents in multiple languages using transformer models • Includes sentiment analysis, keyword extraction, and readability scoring • Available through web application and API Healthcare AI Prediction System • Developed machine learning models for heart disease, Alzheimer's disease, diabetic retinopathy, and pneumonia detection • Built interactive dashboards and reporting tools for end users African Language Speech-to-Text System • Designed and deployed speech recognition models for local African languages • Hosted on AWS with scalable API infrastructure ### 📈 Sales Forecasting & Demand Prediction • Built forecasting systems using ARIMA, Prophet, XGBoost, and LSTM models • Enabled data-driven inventory and business planning --- 🛠 Tech Stack Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow | PyTorch | OpenAI API | Claude API | Gemini API | LangChain | LangGraph | CrewAI | AutoGen | n8n | Make | Zapier | FastAPI | Flask | Streamlit | Docker | AWS | Azure | GCP | Pinecone | ChromaDB | FAISS | Weaviate | Power BI | Tableau I don't just build models—I build complete AI and automation solutions that solve real business problems, improve efficiency, and deliver measurable ROI. Let's transform your ideas into intelligent, scalable, and automated systems.

My Expertise: FPGA-based hardware accelerator design and interfacing along with GenAI, Large Language Models (LLMs), Copilot, OpenAI, GPT, Deep Learning, Computer Vision, and their implementation on heterogeneous accelerators.

TOP RATED PLUS | 100% JOB SUCCESS Turning messy data and documents into reliable AI systems — not just models, but production-ready tools that support real workflows. Focus on LLM applications, forecasting, and decision-support analytics used in fintech, platforms, and research environments. End-to-end solutions include data pipelines → modeling → evaluation → deployment → monitoring. Strong mathematical background (First-Class Honours in Mathematics, MSc in Data Analytics) combined with practical engineering experience delivering scalable and maintainable ML systems. ▶What Can Be Built • AI assistants over company documents (RAG, vector databases, private knowledge bases) • Forecasting & anomaly detection systems for business or sensor data • Automated analytics & decision-support dashboards • NLP pipelines for classification, extraction, and summarization • Production ML APIs and batch pipelines ▶Selected Work •LLM Knowledge Assistant Domain-specific assistant using embeddings and retrieval pipelines to answer questions over internal documentation, reducing manual lookup effort. •Financial Anomaly Detection Hybrid deep learning and statistical models detecting irregular transaction patterns in large-scale time-series data. •Forecasting & Root-Cause Analysis Deep temporal models forecasting operational metrics and identifying drivers behind performance changes. •Intelligent Chatbot Transformer-based conversational system with improved intent detection and contextual responses. ▶Tech Stack Python • PyTorch • TensorFlow • Scikit-Learn • Transformers RAG Pipelines • Vector Databases • Time-Series Models • Statistical Modeling SQL • Data Pipelines • Model Deployment

AI Engineer with over 6 years of hands-on experience in Natural Language Processing (NLP), Computer Vision, and Recommender Systems. With a proven track record on Kaggle, I'm ranked in the top 10% of competitors worldwide. 🌍 My expertise extends to designing, training, testing, and deploying end-to-end applications using Django, Nginx, and Gunicorn on platforms such as AWS, Heroku, and GCP. I have a solid background in working with REST APIs and containers, ensuring smooth integration and deployment of AI solutions. 🚀 My technical toolkit includes: 🔸 Deep Learning Models: Keras, TensorFlow, PyTorch 🔸 Batch & Stream Processing: Spark SQL 🔸 Backend Development: PostgreSQL 🔸 AWS Services: S3, Kinesis, Dynamo DB, Elasticsearch, Redis via Boto3 In the NLP domain, I have worked on developing chatbots, data extraction pipelines, text classification, and sequence labeling. I have also finetuned large language models like GPT-3 and LLAMA for specific use cases. In Computer Vision, I've worked on object detection, OCR models, player and ball tracking in sports analytics, video analytics and more. I have a track record of creating efficient models for fast processing and small memory usage. In Generative AI, I have developed high-quality image generation models using stable diffusion and text generation models using OpenAI GPT models. I've had the privilege to work with diverse remote teams from the USA, Russia, Germany, Japan, and the Philippines, honing my collaboration and communication skills. Let's leverage AI to transform your business processes, enhance customer experiences, and unlock new opportunities. Reach out to discuss how we can collaborate to achieve your goals. Looking forward to helping you bring your AI vision to life! 😊

Agentic AI Engineer who builds production-grade AI agents (voice + multi-agent) and deploys them as reliable cloud systems. If you need an AI Engineer who can take an agent from prototype → secure, observable, scalable deployment, integrate with legacy systems, and keep it stable in production, that’s what I do. 🧠 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐅𝐨𝐫 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 (𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐅𝐢𝐫𝐬𝐭) As an AI Engineer, I design agentic systems that don’t fall apart in real operations: • Tool-using AI agents with strict action boundaries (no hallucinated writes) • Structured outputs (schema validation) + deterministic business rules where needed • Built-in failure handling: retries, fallbacks, human handoff, and safe uncertainty handling 🗣️ 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 (𝐓𝐞𝐥𝐞𝐩𝐡𝐨𝐧𝐲 + 𝐑𝐞𝐚𝐥𝐭𝐢𝐦𝐞) I’m an AI Engineer specializing in voice AI agents that can handle real calls end-to-end: • Telephony (Twilio-style) inbound/outbound calling, call events, recordings, streaming audio • Streaming pipelines (STT → reasoning → TTS) with low latency and natural turn-taking • “Barge-in” interruption handling, follow-up automation, and post-call summaries • Real outcomes: create/update CRM records, tickets, bookings, and workflows automatically 🔁 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 + 𝐓𝐨𝐨𝐥 𝐑𝐨𝐮𝐭𝐢𝐧𝐠) As an Agentic AI Engineer, I build multi-agent orchestration for complex workflows: • LangGraph-style stateful orchestration: router/supervisor agent + specialist worker agents • Safe tool routing with permissions, validation, and deterministic control points • Long-running workflows with checkpoints, retries, and step-level observability • Common builds: support triage, scheduling, sales qualification, onboarding, document intake ☁️ 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐂𝐥𝐨𝐮𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 (𝐀𝐖𝐒 + 𝐏𝐫𝐨𝐝 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲) This is where most “AI agent demos” fail — I build production systems: • Cloud deployment on AWS (serverless or container-based) with clean environments and CI/CD • Queues, async workers, scheduled jobs, retries, rate limits, and dead-letter handling • Secure API gateways, auth patterns, secret management, and audit logs • Monitoring/observability: logs, metrics, traces, alerting, and runbooks 🔌 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐋𝐞𝐠𝐚𝐜𝐲 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐓𝐡𝐞 𝐑𝐞𝐚𝐥 𝐖𝐨𝐫𝐥𝐝) Most companies have legacy CRMs, messy data, and brittle APIs, I integrate anyway: • Middleware (FastAPI services), webhooks, adapters, and integration layers • Idempotent writes + data validation so agents don’t corrupt systems • Safe, explainable actions so your ops team can trust the automation 🧰 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐒𝐭𝐚𝐜𝐤 • Agentic AI: GPT-4-class models, LangGraph-style orchestration, tool calling, structured outputs • Voice AI: telephony integration, streaming audio, STT/TTS pipelines, call summarization • Cloud: AWS Lambda/containers, queues, event-driven workflows, secure gateways, monitoring • Backend: Python, FastAPI, Postgres, Redis, Webhooks, REST APIs ✅ 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 (𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬) 1. Define workflow + success metrics + failure modes 2. Design agent architecture (single vs multi-agent, tools, permissions, state) 3. Implement voice + tool routing + integrations 4. Harden for production (tests, guardrails, retries, observability) 5. Deploy to the cloud and iterate with real traffic safely 📬 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 (𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞) Send me: • Channel: phone/web voice/app • Systems: CRM/helpdesk/DB/internal APIs • Top 1–2 workflows to automate I’ll respond with a production architecture and a scoped first milestone that delivers measurable impact.

With 5+ years of hands on experience, I design, build, and deploy end to end AI solutions from cutting edge Generative AI and LLM applications to advanced Computer Vision systems and full stack production platforms. I have successfully delivered 50+ AI projects, translating complex technology into measurable business outcomes. GENERATIVE AI & LLMs I build intelligent systems powered by GPT 4o, Claude, Gemini, LLaMA, Mistral, Cohere, IBM Watsonx, and Amazon Bedrock. My expertise covers: • Custom LLM application development: chatbots, AI assistants, code synthesis, content generation • RAG Pipelines: LangChain, LlamaIndex, Langfuse, ChromaDB, FAISS, Milvus, Weaviate, Pinecone • Agentic AI & Multi Agent Systems: AutoGen, CrewAI, LangGraph for autonomous task orchestration • Prompt Engineering & Fine Tuning: optimized prompts for structured output, task completion, and domain-specific performance • AI Automation & Workflow Integration: n8n, Make (Integromat), Zapier, UiPath for end to end business automation MACHINE LEARNING & DEEP LEARNING I architect and deliver full ML lifecycle solutions with a focus on performance and scalability: • Neural Networks: CNNs, RNNs, LSTMs, and Transformers (BERT, GPT, T5) • Frameworks: TensorFlow, PyTorch, Keras, JAX, Scikit learn, XGBoost, LightGBM • Model Optimization: transfer learning, data augmentation, hyperparameter tuning (Optuna, Katib) • MLOps & Deployment: Docker, Kubernetes, Jenkins, GitLab CI/CD, MLflow, Weights & Biases, DVC, Prometheus, Grafana COMPUTER VISION I deliver high performance, realtime vision systems for demanding applications: • Object detection & tracking: YOLOv8, OpenCV, MediaPipe • Facial recognition & analysis: DeepFace, Dlib, MTCNN • Action recognition: 3D CNNs, LSTMs • Advanced preprocessing: Albumentations, imgaug PREDICTIVE ANALYTICS & DATA VISUALIZATION • Time Series Forecasting: ARIMA, Prophet, LSTM models for demand and sales prediction • Dashboards: Power BI, Tableau, Plotly Dash interactive KPI and trend surfaces • Statistical Analysis: A/B testing, regression modeling, hypothesis testing FULL STACK AI DEVELOPMENT I build complete, production ready platforms with AI at their core: • Backend: FastAPI, Flask, Django, Node.js, Express.js secure RESTful APIs and AI inference endpoints • Frontend: React.js, Next.js, Vue.js, Tailwind CSS, responsive dashboards, chat UIs, and AI tools • Databases: PostgreSQL, MongoDB, Firebase, Redis • Cloud & DevOps: AWS, GCP, Azure, Docker, GitHub Actions, Kubernetes, serverless: 99.9%+ uptime KEY TECHNOLOGIES AT A GLANCE Python · FastAPI · Flask · Django · Node.js · TypeScript PyTorch · TensorFlow · Keras · JAX · XGBoost · LightGBM OpenAI API · Anthropic Claude · Google Gemini · Meta LLaMA · Mistral · Amazon Bedrock · IBM Watsonx LangChain · LlamaIndex · LangGraph · CrewAI · AutoGen · Langfuse ChromaDB · FAISS · Milvus · Weaviate · Pinecone · Elasticsearch OpenCV · YOLOv8 · MediaPipe · DeepFace · Dlib · Albumentations n8n · Make · Zapier · UiPath · Automation Anywhere AWS · GCP · Azure · Docker · Kubernetes · GitHub Actions · GitLab CI/CD Whether you need an LLM powered product, an agentic AI workflow, a real time computer vision system, or a scalable full-stack AI platform. I deliver high impact, production ready solutions end to end. Let's connect and build something remarkable.

→ 𝟏𝟐+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 → 𝐆𝐨𝐥𝐝 𝐌𝐞𝐝𝐚𝐥𝐢𝐬𝐭 𝐢𝐧 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 (2012) → Former 𝐀𝐈/𝐌𝐋 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 (5 𝐲𝐞𝐚𝐫𝐬) 𝐚𝐧𝐝 𝐔𝐝𝐞𝐦𝐲 𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐨𝐫 (13 𝐩𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐀𝐈/𝐌𝐋 𝐜𝐨𝐮𝐫𝐬𝐞𝐬) → 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫𝐬 𝐢𝐧 𝐭𝐨𝐩 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈/𝐌𝐋 𝐜𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: • 𝐎𝐂𝐑 & 𝐓𝐞𝐱𝐭 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Tesseract, EasyOCR, PaddleOCR, CRNN, Invoice/ID Parsing, License Plate Recognition • 𝐎𝐛𝐣𝐞𝐜𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 & 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠: YOLO, Faster R-CNN, EfficientDet, Detectron2, DeepSORT, ByteTrack, SORT • 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: U-Net, Pix2Pix, Mask R-CNN, DeepLabv3+, SegNet, FCN, SAM, Semantic & Instance Segmentation • 𝐅𝐚𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: FaceNet, Dlib, MTCNN, RetinaFace, InsightFace, Emotion Recognition, Age/Gender Prediction, Face Landmark Tracking • 𝐏𝐨𝐬𝐞 𝐄𝐬𝐭𝐢𝐦𝐚𝐭𝐢𝐨𝐧: DCPose, OpenPose, MediaPipe, PoseNet, HRNet, Skeleton Tracking, Gesture Recognition • 𝐕𝐢𝐝𝐞𝐨 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐒𝐮𝐫𝐯𝐞𝐢𝐥𝐥𝐚𝐧𝐜𝐞: Object Counting, Vehicle Detection, Traffic Analytics, Action Detection, Anomaly Detection • 𝐄𝐝𝐠𝐞 & 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐈 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: TensorRT, ONNX Runtime, TFLite, Quantization, AIMET, Jetson Nano • 𝐈𝐦𝐚𝐠𝐞 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭 & 𝐑𝐞𝐬𝐭𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Super-Resolution, Autoencoders, Deblurring, Inpainting, GAN-based Enhancement • 𝟑𝐃 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐞𝐩𝐭𝐡 𝐄𝐬𝐭𝐢𝐦𝐚𝐭𝐢𝐨𝐧: Stereo Vision, Monocular Depth Prediction, Hand & Object 3D Pose Estimation • 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐕𝐢𝐬𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬: Pix2Pix, CycleGAN, Stable Diffusion, ControlNet, Synthetic Data Generation ⸻ 𝐓𝐨𝐨𝐥𝐬, 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 • 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: PyTorch, TensorFlow, Keras, Detectron2, OpenMMLab, Scikit-Learn, MMDetection, Ultralytics YOLO, FastAI • 𝐂𝐕 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: OpenCV, Pillow, Albumentations, Mediapipe, PyTorch Lightning, ImgAug • 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐌𝐋𝐎𝐩𝐬: Weights & Biases, MLflow, ClearML, Optuna, TensorBoard, Docker, DVC, ONNX, TensorRT, CUDA • 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐀𝐏𝐈𝐬: FastAPI, Flask, TorchServe, Triton, AWS Lambda, Azure ML, GCP Vertex AI • 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, C++, C#, JavaScript, SQL, Bash • 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐚𝐭𝐚 𝐓𝐨𝐨𝐥𝐬: NumPy, Pandas, Matplotlib, Seaborn, Plotly • 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS, Azure, GCP, NVIDIA Jetson, Qualcomm AI Hub, Raspberry Pi, Edge TPU ⸻ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 Shoplifting Detection System | Object Detection & Action Recognition Built a real-time system using YOLOv8 to detect suspicious movements and theft-like actions in CCTV feeds. Sports Pose & Equipment Tracking | DCPose + YOLO Created a tennis analytics model tracking player poses, racket, and ball trajectories for motion feedback. Face Landmark Detection for Snapchat-Style Filters | Facial Landmark Tracking Integrated MediaPipe-based face landmark detection for instant AR filter placement in mobile apps. License Plate & Car Make Recognition | OCR + Object Detection Used YOLO and EasyOCR for license and car make recognition for parking and traffic automation. VisionAssist for the Visually Impaired | Object Detection + Distance Estimation Developed a YOLOX-Tiny Android app that announces nearby objects with distance and direction. Traffic Analytics using YOLOX | Object Detection & Segmentation Implemented vehicle detection and counting for congestion and road usage analytics. Hand Gesture Recognition | Pose & Contour Detection Built gesture recognition using contour and keypoint tracking for touchless control. Age & Gender Detection from Image | Facial Recognition Trained CNN-based model to predict age and gender from facial images in real time. Image to Sketch Converter | Laplacian Filter in Computer Vision Applied Laplacian filters to convert any image into a pencil-style sketch. Satellite Image Segmentation | Pix2Pix Model (GAN) Trained Pix2Pix GAN to convert satellite images into segmented maps showing roads and vegetation. ⸻ 𝐓𝐞𝐚𝐜𝐡𝐢𝐧𝐠 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 • Taught Computer Vision, Deep Learning, and Applied AI courses at the university level. • Published papers on object detection, transfer learning, and image classification. • Created 13 AI/ML courses on Udemy (e.g., Computer Vision in Python for Beginners). ⸻ 𝐈𝐟 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐢𝐧 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫-𝐯𝐢𝐬𝐢𝐨𝐧 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬, 𝐥𝐞𝐭’𝐬 𝐡𝐚𝐯𝐞 𝐚 𝐪𝐮𝐢𝐜𝐤 𝐜𝐡𝐚𝐭/𝐦𝐞𝐞𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐛𝐥𝐞𝐦. 


⭐⭐⭐⭐⭐ 5.0/5.0 Ex-Amazon, Ex-Adobe Top 1% Expert-Vetted on Upwork —. 150+ AI projects shipped at 5/5 stars and 100% Job Success. Advisor to venture-funded AI startups. I architect production LLM agents, RAG systems, and voice AI for teams that need senior thinking and staffing. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 ✅ Multi-agent systems on LangGraph, OpenAI Agents SDK, and Google ADK — with MCP and A2A interop for tool use, memory, and cross-framework orchestration ✅ Production RAG with hybrid search, Voyage rerank-2.5 / Cohere Rerank v3.5, agentic retrieval, citation enforcement, and RAGAS evaluation ✅ Voice AI agents on LiveKit Agents + Pipecat with Deepgram Nova-3, Cartesia Sonic-3, ElevenLabs Flash v2.5 — sub-300ms end-to-end latency ✅ LLM fine-tuning and adapter training (LoRA, QLoRA, DoRA) with Unsloth, Axolotl, TRL on Llama 4, Qwen3, Mistral, DeepSeek ✅ Time-series and forecasting systems (TimeGPT, PatchTST, Prophet) for trading, demand, and operations ✅ Computer vision and generative imaging/video (SAM 3, YOLO26, Flux, Veo 3.1, Kling 3.0, Runway Gen-4.5) 𝟮𝟬𝟮𝟲 𝗦𝗧𝗔𝗖𝗞 GPT-5.5, Claude Opus 4.7 / Sonnet 4.6, Gemini 3 Pro, Llama 4, DeepSeek V3.2 · LangGraph, OpenAI Agents SDK, Google ADK, Pydantic AI, DSPy · LlamaIndex, Haystack · pgvector, Qdrant, Pinecone, Weaviate, Milvus · LangSmith, LangFuse, Arize Phoenix · vLLM, SGLang for self-hosted inference · AWS Bedrock, Azure AI Foundry, Vertex AI · Python, FastAPI, Node.js, TypeScript, Next.js · MCP servers and A2A agent communication 𝗕𝗘𝗬𝗢𝗡𝗗 𝗧𝗛𝗘 𝗖𝗢𝗗𝗘 I bring senior product and people leadership — having managed engineering organizations approaching a thousand people and led products from idea to end-of-life. I speak on AI and entrepreneurship at conferences and podcasts, and advise venture-funded AI startups on architecture, hiring, and go-to-market. 𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦 ▸ Top 1% on Upwork — Expert-Vetted, Top Rated Plus, 100% Job Success Score ▸ 150+ AI projects shipped at 5/5 stars ▸ Ex-Amazon, Ex-Adobe, Ex-Accenture ▸ Mentor and advisor at multiple venture-funded AI startups ▸ Speaker and panelist on AI and entrepreneurship ▸ Founding partner at a boutique AI engineering studio — Frankfurt and US team 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Senior engineering and architecture only. Engagements typically begin with a paid 1–2 week discovery sprint to scope architecture, model selection, and milestones — then fixed-scope delivery with weekly demos. I work async-friendly across EU and US time zones and turn down work that doesn't merit senior attention. If you're shipping AI to production and need an architect who's done it 150+ times, message me with what you're building.