"Engineering scalable, real-time AI solutions with LLMs, Computer Vision, and edge intelligence."

I’m a Senior Machine Learning Engineer with 5+ years of experience building production-grade AI systems, from deploying LLMs that handle 100K+ daily requests to designing real-time CV pipelines for satellite and surveillance data. I've worked with top-tier clients including USPS and Airbus, spoken at PyCon, and won the President’s Gold Medal during my MS at NUST.

• ⚙️ Build LLM pipelines using OpenAI, LangChain, HuggingFace, and LangGraph
• 🎥 Develop real-time video analytics using DeepStream, Triton, and YOLO
• 🛰️ Design CV models for geospatial and defense applications
• 🧱 Architect scalable AI microservices using FastAPI, Docker, AWS, and Redis
• 📊 Create chatbots and intelligent agents for KPI monitoring and business insights

Languages: Python, C/C++, Go, JavaScript, SQL, NoSQL
Frameworks: PyTorch, TensorFlow, FastAPI, Flask, Django
ML/AI: LLMs, CV, LangChain, HuggingFace, Triton, TensorRT, DeepStream
Infrastructure: AWS (SageMaker, Bedrock, Lambda), Docker, Kafka, Redis
Databases: PostgreSQL, MongoDB, Milvus, DynamoDB

• 🥇 President’s Gold Medal – NUST (MS CS&E)
• 📜 TensorFlow Certified Developer, HuggingFace Agentic AI Certified
• 🎙️ PyCon Speaker and published researcher on deep learning in UI design
• 🌍 Open-source contributor to TensorRTX, PyTorchX, and YOLOv7-Pose
• 📈 Delivered $50K+ savings via optimized LLM pipelines and CV automation

• 🤖 LLM Agent System: ReAct-based multi-agent chat app using DeepSeek-R and OpenAI, reducing workflow overhead by 50%
• 📦 Inference Platform: Triton-powered CI/CD system deploying 20+ CV models for enterprise use
• 🌱 Plant Monitoring AI: Real-time segmentation and analytics from 200+ multispectral cameras
• 🔍 Satellite Imagery Detection: Small-object detection for 50,000+ km² terrain using YOLO/YOLT
• 💬 Analytics Chatbot: GPT-4 and LangChain-based bot integrating 6 APIs for real-time business KPIs

• GitHub: @sbmalik
• LinkedIn: Subtain Malik
• Google Scholar: Publications

Let’s build intelligent systems that matter.