About Me
AI/ML Engineer with production experience building intelligent systems across EdTech, healthcare, construction, and enterprise automation. Specialises in end-to-end ML pipelines, LLM-powered applications, computer vision, and cloud-native deployments. Proven ability to lead cross-functional teams, architect scalable AI solutions, and deliver measurable business impact — from automated assessment platforms and construction forecasting to real-time diagnostic systems and conversational AI.
Skills & Technologies
Work Experience
Junior Software Engineer
Spearheaded development of an AI-Powered Scholarship Assessment Platform to automate academic merit evaluation at scale. Integrated an LLM-based Question Generation Engine that dynamically synthesizes curriculum-aligned questions across difficulty levels and subject domains, and built an AI Proctoring System using computer vision and behavioral analytics. Delivered a cloud-deployable architecture with real-time administrator monitoring dashboards.
Projects
Employee & Leave Management System (MCP-Based)
Architected a Model Context Protocol (MCP) server automating HR workflows.
Interactive QA Bot (RAG System)
Built a real-time RAG-based QA system over enterprise PDF corpora using Pinecone for semantic vector retrieval.
CDOC – Conversational Document Intelligence Assistant
Developed a locally-hosted document assistant using Llama 3 and ChromaDB.
Gesture-Based Music Control System
Built an embedded AI system on Raspberry Pi translating ultrasonic sensor gesture inputs.
Education
Post Graduate Diploma in Artificial Intelligence (PG-DAI)
General
Bachelor of Engineering – Electronics Engineering
General