Umer Haroon

Electrical engineering graduate focused on AI, computer vision, and AI automation, with hands on experience in machine learning, LLM based applications, embedded systems, and end to end project development. Skilled in Python, FastAPI, Streamlit, PyTorch, LangChain RAG, computer vision, and workflow automation. Strong at building practical AI systems from concept to deployment, including model development, system integration, testing, documentation, and real world demo execution.

AI/Data Science Intern at Systems Limited (2025-06 – 2025-08)

• Asynchronous APIs & Workflow Automation: Built high throughput model serving endpoints using FastAPI and engineered automated, event driven data ingestion pipelines using n8n webhooks and REST APIs.
• Inference Optimization & Deployment: Optimized deep learning and transformer pipelines using PyTorch and ONNX Runtime, significantly reducing inference latency for real time applications.
• Semantic Retrieval & Data Processing: Implemented vector based semantic search and automated feature extraction workflows to handle unstructured datasets and feed downstream services.
• Containerization & Automated Testing: Containerized internal microservices using Docker and built automated testing scripts to benchmark latency, throughput, and accuracy across dataset updates.

Bachelor in Electrical Engineering – NUST (2026)