Ahmed Bhan

PROFESSIONAL PROFILE DevOps and AI Systems Engineer building the future of intelligent infrastructure. Architect production MLOps pipelines, autonomous LLM agents, and Large Action Models that bridge human intent with system execution. Expert in cloud-native orchestration (Kubernetes, AWS), reinforcement learning for adaptive systems, advanced GenAI frameworks, and CI/CD automation - synthesizing computer vision, deep learning, and full-stack engineering to create self-evolving infrastructure that learns, adapts, and scales. EDUCATION Bachelor of Electrical Engineering SEECS , Islamabad , 3.38 (2026) INTERNSHIP EXPERIENCE 3dim engineering solutions 17-Feb-2025 - 30-Jun-2025 Architected and deployed NVIDIA Triton Inference Server on Kubernetes clusters with auto-scaling policies, achieving 1000x latency reduction through TensorRT optimization (INT8/FP16 quantization) Optimized LeYOLO for small-object detection on drone datasets, deploying containerized workloads for edge devices with multi-stage Docker builds reducing image sizes by 60% FINAL YEAR PROJECT Baymax: Your Personal Healthcare Assistant Architected multi-modal AI infrastructure on NVIDIA Jetson Nano, orchestrating Med-Gemma-4B via LangChain for context-aware health summaries by fusing vision, language, and sensor data streams. Deployed MobileNet and FaceNet with TensorRT optimization for real-time activity recognition and identity verification, achieving less than 100ms inference latency through GPU resource management. Implemented RAG pipeline using ChromaDB for patient history context with "Privacy-by-Design" ephemeral data processing and secure credential handling. Built containerized rPPG pipeline for contactless vital sign extraction. TECHNICAL EXPERTISE Cloud Infrastructure & DevOps Engineering Expert in AWS cloud services (EKS, EC2, Lambda, S3, CloudFront) and container orchestration using Kubernetes and Docker. Proficient in building CI/CD pipelines with GitHub Actions, and managing production deployments with zero-downtime rolling updates. Experienced in microservices architecture. MLOps & AI Infrastructure Specialized in production ML deployment pipelines using NVIDIA Triton Inference Server, TensorRT optimization, and model quantization (INT8/FP16). Proficient in PyTorch, TensorFlow, ONNX, and Hugging Face frameworks. Expert in deploying ML models on edge devices and cloud infrastructure with auto-scaling poli ... Generative AI & Large Language Models Advanced expertise in LLM orchestration using LangChain, LangGraph, and LlamaIndex for building autonomous agents and RAG systems. Experienced with GPT, Llama, Gemini, Grok, and Gemma models. Skilled in developing Large Action Models (LAMs) for complex automation, multi-agent systems, and context-aware AI app ... Computer Vision & Deep Learning

DevOps and AI Systems Engineer building the future of intelligent infrastructure. Architect production MLOps pipelines, autonomous LLM agents, and Large Action Models that bridge human intent with system execution. Expert in cloud-native orchestration (Kubernetes, AWS), reinforcement learning for adaptive systems, advanced GenAI frameworks, and CI/CD automation - synthesizing computer vision, deep learning, and full-stack engineering to create self-evolving infrastructure that learns, adapts, and scales.