Hassaan A.
AI/ML Engineer | Computer Vision | AI Agents | LLMs & MCP | Voice AI
⭐⭐⭐⭐⭐ With 5+ years of experience in software development, I build high-performance AI applications that can grow from MVP to scalable production systems, handle real-world traffic, and support business growth. I specialize in Artificial Intelligence, Machine Learning, Computer Vision, Generative AI, LLMs, and AI Agent Development, with strong backend engineering expertise in Python, FastAPI, API Development, and scalable AI architecture. My core expertise includes Computer Vision, Image Processing, Object Detection and Tracking, Image Segmentation, Deep Learning, Edge AI, Machine Learning Model Development, LLM Applications, RAG, AI Chatbots, and workflow automation. Computer Vision & Machine Learning I build real-time and production-ready Computer Vision and Machine Learning systems for video analytics, image analysis, and AI-powered applications. I can help with: * Object Detection & Tracking: YOLO, Faster R-CNN, SSD * Image Segmentation: U-Net, Mask R-CNN, SAM * Real-Time Video Analytics * Image Processing & Image Analysis * Image Classification & Recognition * Face Detection & Face Recognition * Pose Estimation & Keypoint Detection * Action Recognition & 3D Motion Tracking * Industrial Defect Detection * Medical Image Analysis * Sports Analytics * Computer Vision for Robotics * Deep Learning Model Training and Fine-Tuning * Model Optimization and Quantization * Machine Learning Model Deployment and Evaluation Edge AI & Real-Time AI I develop optimized Edge AI and Embedded Vision solutions for real-time inference where latency, memory, and compute resources are important. Technologies include: * NVIDIA Jetson / Jetson Orin * NVIDIA DeepStream * TensorRT * NVIDIA Triton Inference Server * ONNX / ONNX Runtime * OpenCV * PyTorch * TensorFlow / TensorFlow Lite * C++ * Embedded Systems * Real-Time Video Analytics * Model Optimization and Edge Deployment LLM & AI Agent Development I build LLM applications, AI Agents, AI Chatbots, Generative AI systems, and automated workflows. Systems such as: * AI Agents and Multi-Agent Systems * Tool-Using and Stateful Agents * AI Chatbots * RAG Pipelines * Document Ingestion and Processing * Embeddings and Semantic Search * Hybrid Search and Re-Ranking * Vector Database Integration * LLM Applications using OpenAI, Claude, Gemini, and open-source models * LLM API Integration * Prompt Engineering * Tool Calling and Function Calling * AI Workflow Automation * Natural Language Processing * Information Extraction * Document Intelligence * Generative AI Applications Voice AI & AI Applications I develop real-time Voice AI Agents combining: * Speech-to-Text (STT) * Text-to-Speech (TTS) * LLM reasoning * Voice cloning * AI Agents * Tool calling * Telephony and API integrations * Real-time conversational workflows Model Fine-Tuning & AI Development I work with Machine Learning and Deep Learning models from development to deployment. * LLM fine-tuning * Transfer learning * Parameter-efficient fine-tuning * Model quantization * Inference optimization * Embeddings * Transformers * Vision Transformers * Neural Networks * Model evaluation * Production model deployment Backend & AI Infrastructure I also build the backend infrastructure required to turn AI models into reliable production applications. Backend: Python | FastAPI | Django | Flask | REST APIs | API Development | API Integration | Docker | Kubernetes | Microservices AI/ML: PyTorch | TensorFlow | TensorFlow Lite | OpenCV | Hugging Face | Transformers | YOLO | ONNX | TensorRT | DeepStream | Triton LLM/Generative AI: OpenAI API | Claude | Gemini | LangChain | LangGraph | RAG | Vector Databases | LLM APIs | Prompt Engineering | AI Agents Vector Databases: Pinecone | Milvus | Chroma | FAISS Cloud & Deployment: AWS | GCP | Azure | NVIDIA Jetson | Edge AI | Cloud Deployment | Scalable AI Architecture DevOps/MLOps: Docker | Kubernetes | MLOps | CI/CD | Model Monitoring | Inference Optimization | Production Deployment