22+ products built end-to-end. 6 running at enterprise scale. Clients include Odiggo (YC S21), Time Health (piloted by the largest healthcare network in the US) and Cravta (#1 women-led startup in MENA). I specialise in building full-stack applications with AI and Web3 at the core; using Python, Next.js, FastAPI, Node.js, React Native, MERN, and AWS. From RAG pipelines and AI voice agents to blockchain escrow systems, I build the full product, not just the feature layer. 𝐓𝐡𝐞 𝐦𝐨𝐬𝐭 𝐫𝐞𝐜𝐞𝐧𝐭: an AI voice receptionist built on Retell with Sonic 3 TTS, running sub-500ms latency over WebRTC, powered by LLM agents, Twilio, and WhatsApp; recovered $81K in annual revenue for a dental practice in 30 days. Before that, an on-prem Whisper + RAG system with Python and machine learning that cut clinical workload by 60% for 𝐓𝐢𝐦𝐞 𝐇𝐞𝐚𝐥𝐭𝐡. Before that, a computer vision pipeline for 𝐀𝐠𝐫𝐢𝐓𝐞𝐜𝐡 that closed a $2.1M seed round as the lead technical differentiator. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝: ▸ Full-stack applications: Next.js, FastAPI, Node.js, React Native, GoLang, PostgreSQL, MongoDB, Redis. End-to-end product builds from architecture to deployment. ▸ AI voice & LLM agents: AI receptionists, AI tutors, AI companions, clinical assistants (Retell, LiveKit, Sonic 3, Twilio, WhatsApp, Whisper, LangChain, EMR/PMS integrations, sub-500ms WebRTC latency) ▸ RAG pipelines: semantic search + BM25 hybrid retrieval, multilingual & multimodal document AI, real-time compliance systems (Qdrant, Pinecone, ChromaDB) ▸ LLM fine-tuning & prompt engineering: LoRA/PEFT on GPT, LLaMA, Mistral, Gemini for domain-specific use cases, not just API wrappers ▸ Computer vision: face recognition, liveness & deepfake detection, biometric KYC (1:1, 1:N), medical imaging, satellite imagery, multilingual OCR (YOLO, Transformers, PyTorch) ▸ Classical ML: XGBoost, time series forecasting, yield prediction on IoT and sensor data ▸ Web3 & blockchain: smart contracts, NFT minting, escrow systems, Polygon chain, wallet integrations, crowdfunding platforms ▸ Automation & workflows: N8N, Zapier, Claude Code, custom pipeline orchestration 𝐖𝐡𝐞𝐫𝐞 𝐈 𝐚𝐝𝐝 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐯𝐚𝐥𝐮𝐞: ▸ You have an idea or a vision and need someone who can architect it, build it, and ship it, not just write code to a spec. ▸ You have a working MVP and need to take it to an enterprise-grade, scalable product without rebuilding from scratch. I have done both, multiple times. I led Cravta, Khurli, Sawie, AgromAi, and Odiggo (YC S21) from ideation or early stage through to enterprise-grade products. I work the way a technical co-founder would: I'll flag problems before they get expensive, communicate without being chased, and build systems I'd be comfortable owning long-term. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐨𝐫𝐤: ▸Khurli: AI voice dental receptionist built on Retell with Sonic 3 TTS, sub-500ms end-to-end voice latency over WebRTC, Twilio & WhatsApp integration, and Dentrix EMR sync. 41 new patients captured in 30 days. $81K annual revenue recovered. 6.1x ROI in month one. ▸Time DRH: On-prem Whisper + RAG agents for clinical workflows. EMR-optimized transcriptions with AI-assisted diagnosis and prognosis. 60% reduction in manual workload. Piloted by Time Health across the US. ▸Cravta & Huda: Multilingual computer vision EdTech platform with gamified learning, in-product marketplace, multi-tenant architecture, and white-label support. Includes Huda, a real-time conversational AI tutor built on LiveKit. Led from ideation to enterprise. 1,000+ users. 40% performance gain. 30% cloud cost reduction. Ranked #1 Women-Led Startup in MENA. ▸Sawie: Computer vision + crop health classification for AgriTech. $2.1M seed round closed with this as the lead technical differentiator. ▸AgromAi: Soybean yield prediction in Brazil using XGBoost trained on IoT sensor data, weather, and soil inputs. Piloted by Bank of Brazil. ▸Vasael: Real estate & commodities crowdfunding platform processing $2M+ in annual transactions. Blockchain-powered escrow with NFT minting on Polygon, payment gateways, MFA, and biometric authentication. ▸Crypto Compliance RAG: Real-time multilingual, multimodal RAG system for GCC crypto compliance with live regulatory document ingestion. ▸Additional portfolio: Odiggo (YC S21), ColorsofRiyadh, RDP-KSA, Oliva-SA, in2o, and more. If any of this sounds like what you're trying to build, send me a message. I'd love to hear what you're working on and show you how I'd approach it.

I help engineering teams and tech founders build high-performance Computer Vision solutions, real-time perception systems, and edge AI applications. 🚀 COMPUTER VISION ENGINEER HELPING TEAMS BUILD REAL-TIME PERCEPTION SYSTEMS Implementing complex Computer Vision (CV) and deploying neural networks in real-time is a massive technical challenge. Most tech startups face these hurdles: - Low frame rates (FPS) and high latency in real-time detection. - High memory consumption that prevents deployment on Edge devices. - Difficulty porting Python-based models (PyTorch/TensorFlow) into high-performance C++ or Rust production environments. - Challenges implementing AI analysis in the browser using WebGPU or WebAssembly (Wasm). I bridge the gap between Data Science (Research) and Systems Engineering (Production), delivering optimized solutions that are fast, scalable, and robust. 🏆 RESULTS I HELP CLIENTS ACHIEVE: - Launch complex CV solutions (Object Detection, Tracking, SLAM) on time. - Increase inference performance via TensorRT, OpenVINO, or ONNX optimization. - Reduce memory footprint for deployment on NVIDIA Jetson, Raspberry Pi, and Mobile. - Build cross-platform applications for Cloud, Desktop, and Web Browsers. - Seamlessly integrate AI models into existing production infrastructure. 💻 WHAT I BUILD: - REAL-TIME VIDEO ANALYTICS: Object detection, face recognition, and behavior analysis. - EDGE AI & EMBEDDED VISION: Optimizing neural networks for resource-constrained hardware. - WEB-BASED COMPUTER VISION: High-speed model inference in the browser via Wasm/WebGPU. - 3D VISION & SLAM: Object reconstruction, robotics perception, and Point Cloud processing. - HIGH-SPEED OCR: Fast document processing and data extraction. ⚙️ TECHNOLOGIES I WORK WITH: COMPUTER VISION & ML: - OpenCV, MediaPipe - PyTorch, TensorFlow, Keras - YOLO (v8 / v10 / v11), Segment Anything (SAM), Detectron2 - Stable Diffusion PERFORMANCE & DEPLOYMENT: - C++ / Rust (High-performance processing engines) - TensorRT, ONNX Runtime, OpenVINO (Inference optimization) - CUDA / cuDNN (GPU acceleration) - WebAssembly (Wasm) & WebGPU (In-browser CV) CORE SYSTEMS & TOOLS: - Python (Research & Scripting) - Docker, NVIDIA Docker, GStreamer (Video pipelines) - Linux & Embedded Linux (Jetson, ARM) 🎯 TYPICAL SCENARIOS I HANDLE: ► Research Model to Production MVP If your model is working in a Jupyter Notebook but is too slow for real users, I rewrite critical components in C++/Rust and apply quantization/pruning to achieve production speed. ► Edge AI & Browser Migration I port models to run via WebGPU or Wasm to keep processing on the client-side, reducing cloud costs and ensuring data privacy. ► Performance Rescue If your system is dropping frames or overheating servers, I perform technical audits, implement hardware acceleration (NVDEC/VA-API), and optimize pre-processing algorithms. 🔄 MY PROCESS: 1. Architecture Design: Evaluating Accuracy vs. Speed to choose the right stack. 2. Pipeline Development: Setting up robust video ingestion and model inference. 3. Optimization: Leveraging CUDA, TensorRT, or Rust for maximum FPS. 4. Delivery: Stress testing and delivering clean, maintainable code. Ready to give your product "sight"? Drop me a message to discuss your Computer Vision project!

Hey there! 👋 Welcome to my profile! I'm Aveen Faheem, your go-to Data Scientist and AI Engineer ready to tackle your data challenges head-on. With over 5 years of hands-on experience in Data Science and Machine Learning and AI, I'm here to help you harness the potential of your data, no matter where you are in the world. I've got the expertise you need to turn your data into actionable insights. My Toolkit Includes: - AI Automation Agents 👩‍💻 - Data Mining ⛏️ - Data Visualization 📊 - Deep Learning 🧠 - Machine Learning 🤖 - Microsoft Azure ☁️ - Natural Language Processing 🗣️ - Python programming 🐍 - SQL 💾 - Statistical Analysis 📈 - Big Data Technologies (Hadoop, Spark) 🚀 I thrive on unraveling complex datasets and crafting compelling stories that drive strategic decision-making. Let's dive into your data-driven journey together! 🚀 Whether you're a startup 🌱 or a seasoned enterprise 💼, I'm excited to collaborate and bring your data visions to life. Let's connect and discuss transforming your data challenges into success stories 🌐, no matter where you're located! 🌍

Computer Vision & AI Engineer — I build real-time object detection, tracking, segmentation, and OCR systems with deep learning (PyTorch, YOLO, OpenCV) that ship to production, fast, on edge (NVIDIA Jetson, Rockchip) and cloud (AWS). Most machine learning models work in testing, then choke in production. I optimize and deploy them so they run fast and reliably in the real world. ⚡ Recent results: → Model too slow for edge → 8 FPS to 47 FPS (5.9x), 77% smaller via INT8 quantization → Vehicle monitoring → live fleet tracking across 50+ units, 24/7 → High false-positive rate → 73% fewer false alarms → Expensive cloud pipeline → $2,100 to $850/month 🔹 What I build: Object detection, tracking & counting (YOLO v5–v11, ByteTrack, DeepSORT) Image segmentation, pose estimation, OCR & image classification Edge deployment & model optimization (TensorRT, RKNN, ONNX, DeepStream, INT8/FP16) Cloud CV pipelines & inference APIs (AWS SageMaker/Lambda, FastAPI, Docker, Triton) Quality inspection, defect detection & anomaly detection Vision + LLM / multimodal pipelines (image understanding, VLM integration) 🏭 Industries: Security & surveillance • Traffic & ANPR • Manufacturing & industrial inspection • Retail analytics • Fleet & driver monitoring • Agriculture 🛠 Stack: PyTorch, TensorFlow, YOLO, OpenCV, TensorRT, RKNN, ONNX, DeepStream • NVIDIA Jetson (Nano/Xavier/Orin), Rockchip RK3576/RK3588 • AWS, FastAPI, Docker, Roboflow • Python, C++ ✅ How I work: I understand the problem before I build. Daily updates, no disappearing. Clean, documented code that's yours to keep. I stay until it runs in production — edge or cloud. Need a slow model made fast, or a computer vision system that has to ship? Message me — let's scope it.

🚀 I help teams turn AI concepts into real, working systems from deep learning models to full scale LLM applications. 💡 Core Domains: 🤖 AI/ML and Deep Learning CNNs, Transformers, Gradient Boosting 🗣️ NLP and Speech AI OCR, PDF Parsing, NER, Emotion Detection, TTS/STT 🧠 Generative AI and LLMs OpenAI, Claude, llama.cpp, LangChain RAG ⚙️ Automation and No Code n8n, Zapier, Streamlit, OpenAI Realtime API 🧩 I focus on robust architectures, clean data pipelines, and measurable results whether improving model accuracy, automating workflows, or scaling AI chat systems. 📘 Every build includes clear documentation and repeatable processes so your team can maintain and extend it confidently. 💬 If you need an engineer who bridges AI research, software engineering, and automation, lets discuss how I can help accelerate your next project.

With over a decade of experience in AI, Machine Learning, and Deep Learning, I am passionate about leveraging cutting-edge technologies to build intelligent, data-driven solutions. My expertise lies at the intersection of conversational AI and traditional ML/DL models, allowing me to deliver advanced solutions tailored to your unique needs—whether you're looking to integrate chatbot systems or deploy predictive models for business intelligence. I specialize in building and deploying state-of-the-art conversational AI systems powered by Large Language Models (LLMs). This includes custom chatbot creation, chatbot API integration, and enhancing customer interaction workflows. I stay up-to-date with the latest advancements in AI, such as GPT-based models and open-source LLMs, and I'm proficient in designing conversational agents that can handle complex tasks and human-like interactions across multiple domains. In addition to cutting-edge AI solutions, I also have deep experience in traditional ML and DL methods. This includes: Regression and Classification Models: Implementing various algorithms for predictive analysis, like Linear/Logistic Regression, Decision Trees, and Support Vector Machines (SVM). Neural Networks: Building and training deep learning models using frameworks such as TensorFlow and PyTorch for image processing, NLP, and more. Here’s a snapshot of my technical expertise: Conversational AI & LLMs . Custom Chatbot Development (GPT-based models, OpenAI, etc.) . Chatbot API Integration (Twilio, Dialogflow, Microsoft Bot Framework) . NLP-based Automation and AI-driven Customer Support Solutions . Large Language Models (LLMs) for Content Generation and Query Resolution . Fine-tuning Pre-trained Language Models for domain-specific tasks Traditional Machine Learning & Deep Learning . Regression and Classification Algorithms . Decision Trees, Random Forest, XGBoost . Deep Learning (Neural Networks, CNNs, RNNs) . Natural Language Processing (NLP) using PyTorch, TensorFlow, Hugging Face Transformers . Image Recognition and Processing with Keras, OpenCV Data Engineering & Model Deployment . Model Optimization & Hyperparameter Tuning . MLOps and CI/CD for Machine Learning (Docker, Kubernetes) . Deploying Models to Cloud Platforms (AWS SageMaker, GCP AI Platform, Azure ML) Key Domains of Expertise: ✅ Conversational AI Systems & Chatbots ✅ Large Language Models (LLMs) ✅ Natural Language Processing (NLP) ✅ Predictive Analytics for Business ✅ Computer Vision ✅ Automation & AI Integration for Customer Interaction ✅ Healthcare AI Solutions ✅ Finance & Risk Prediction Models ✅ Retail and E-Commerce Analytics Buzz Words: AI Developer, Machine Learning Engineer, Deep Learning Specialist, Chatbot Developer, NLP Expert, TensorFlow Developer, PyTorch Engineer, Conversational AI Expert, LLM Integrator, Data Scientist I look forward to connecting with you to help design intelligent AI solutions that drive impact and enhance your business processes. Whether it's a chatbot system to streamline customer service or advanced ML models for predictive insights, let's bring your vision to life!

Have being working as Image processing and 3D modelling engineer for 14 years and having a PHD in the same area, I have accumulated a very good experience in development, algorithms design and performance enhancement in the computer vision, 3D and deep learning areas. Working in many different companies on a various projects as a developer and a researcher gave me the opportunity to enhance my communication skills with all kind of people (developers, researchers, managers and clients). I was always able to propose strategic business proposals, sell these ideas to other people and do the necessary to transform them to a final product.

2X GCP Certified • Google Certified Proffessional Machine Learning Engineer • Google Certified Associate Cloud Engineer Contributed to Stanford Research (Echonet Dynamic) open source project for Interpretable AI for beat-to-beat cardiac function assessment. Successfully completed Stanford online certification in Machine learning with 97.3% grade. I love to work on challenging and state of the art cutting edge machine learning and artificial intelligence projects that push the edge or require the latest research in the field of machine learning and artificial intelligence. I have worked on attention mechanisms for improving the efficiency of existing models as well as creating new models from scratch that increase the capabilities for the model to solve the particular task much more effectively. I am able to implement "pytorch" "tensorflow" "keras" "octave" "tflearn" "sklearn" "pandas" "matplotlib" "nunmpy" "scipy" among others for any machine learning tasks, in the wide range of application spectrum. I am able to design front end back-end of the apps or a website etc. Can work on web-sockets servers google cloud platform hadoop reactjs image processing end to end models (including data prepossessing) I have successfully concluded a number of competition on kaggle with respectable positions on the leader-board. I am able to implement bhednau and Luong Attention mechanisms both in image (or video) classification, object detection or surveillance tasks, as well as in NLP (Natural Language Processing). NLP (implementation include:) Spacy Glove Vector Custom embeddings etc Can work with: Python reactjs c++ bash linux octave AWS Google cloud Terraform Ci/CD pipelines Kubernetes Tools: Prometheus Grafana Docker google cloud ml google ai-platform aws sagemaker google ml toolkit Azure Databricks Google AutomL Apart from the above interest, I also have always had the aspiration of being a writer.Starting of from the minor projects I am on my way to write a book, a semi-fictional psychoanalysis.I would love to write about new things and therefore add on to my own knowledge while doing that and earning at the very same time.

Innovative software engineer with 12 years of experience in the full software development life-cycle – from concept through delivery of robust software applications. Expert in advanced development methodologies and tools contributing to the design and development of critical applications. Known for excellent troubleshooting skills – able to analyze code and engineer well-researched and responsive solutions.

Data Scientist & ML/LLM Engineer | RAG, Agent Development, ML & DL I have more than 2 years of experience in Data Science & ML, which includes coding ML & DL pipelines, doing EDA on data, building analytical reports via Excel & Power BI, developing AI agentic systems, and coding RAG pipelines. etc. 🔹 Have hands-on experience in agent development, testing, evaluation, and prompt optimization 🔹 Skilled in Python (Pandas, NumPy, Matplotlib), SQL, and Power BI 🔹 Experience with TensorFlow, scikit-learn, CV, and NLP tasks 🔹 Strong command of Excel, data visualization, and statistical analysis 🔹 Comfortable with Git, Docker, and deploying AI models Whether you need help with building a prod-ready AI solution, a machine learning model, a data pipeline, a dashboard, or an analytics report, I can take your project from idea to impact. Let’s connect - I value clear communication, on-time delivery, and results you can trust. KEYWORDS: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Neural Networks, Natural Language Processing (NLP),Computer Vision, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Transfer Learning, Generative AI, Large Language Models (LLMs), Data Science, Feature Engineering, Model Training, Hyperparameter Tuning, Overfitting & Underfitting, Model Optimization, Explainable AI (XAI), AI Ethics, AI Bias, Fairness in AI, AI Governance, Responsible AI, Prompt Engineering, Zero-shot Prompting, Few-shot Prompting, Chain-of-Thought (CoT), Self-Consistency Prompting, Instruction Tuning, Retrieval-Augmented Generation (RAG), Prompt Optimization, Context Length, System Prompt, Temperature (AI Sampling), Top-k & Top-p Sampling, Token Limit, Embeddings, Fine-tuning, Hallucination (AI-generated misinformation), Prompt Injection, Role-based Prompting, Meta-Prompting, AI-assisted Writing, LLM APIs, OpenAI (GPT, ChatGPT), Google Gemini (formerly Bard), Meta LLaMA, Anthropic Claude, Hugging Face, TensorFlow, PyTorch, LangChain, Vector Databases (e.g., Pinecone, Weaviate, ChromaDB), OpenAI API, PromptFlow, LlamaIndex