Professional Overview
AI Engineer focused on building practical AI systems using LLMs, FastAPI, LangChain, and LangGraph. Built AI agents for workflow automation and conversational AI, including a humanitarian student screening system and an AI-powered clinic scheduling assistant, and am interested in backend engineering and scalable AI applications.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built a modular, config-driven VLM evaluation framework for remote-sensing disas
- Implemented pluggable inference runners (HuggingFace, vLLM) across multiple VLM
- Integrated MLflow experiment tracking with fault-tolerant, resumable execution,
Education
Field of Study: Computer Engineering
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
