Professional Overview
Computer Science graduate with hands-on experience building software and AI projects using Java, Spring Boot, React.js, Node.js, SQL, and REST APIs. Built an AI-powered email reply generator integrating React, Spring Boot, Gemini API, and Gmail, and developed an LLM Evaluation Dashboard for comparing model responses, latency, cost, and quality. Also worked on NLP research using BERT, PyTorch, and Hugging Face. Interested in technical writing, developer documentation, API documentation, AI content, and technical content roles where I can combine software knowledge with clear, practical writing.
Areas of Expertise
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
