✨ GDG Co-Lead | Agentic AI Builder & Speaker | Web Engineer | IT @ MET BKC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MET BKC
Data Scientist
June 16, 2026 – Present
Context-engineered-RAG-Agent
May 16, 2026 – Present
A production-grade policy assistant agent built with LangGraph, instrumented with Arize Phoenix for full observability, and validated against a 30-question stress-test suite.
View ProjectSentinel-AI
April 28, 2026 – Present
An autonomous, multi-agent business risk intelligence platform
View ProjectTriage-AI---Google-Solution-Challenge-2026
April 19, 2026 – Present
The Central Nervous System for Emergency Response
View ProjectRAG_QnA_System_Assignment
April 4, 2026 – Present
A Retrieval-Augmented Generation pipeline that answers questions grounded strictly in your documents with source citations.
View Projectfastmcp-3.0-typescript-agent_skill
March 21, 2026 – Present
AI agent skill for building correct FastMCP TypeScript MCP servers — prevents hallucination of wrong APIs, covers tools, resources, prompts, auth, transport & common anti-patterns.
View ProjectCellwise-LanGraph-NoteBook-Agent
February 5, 2026 – Present
A LangGraph-powered agent that automatically explains and documents your Jupyter notebook cells in real-time, creating comprehensive markdown documentation as you code.
View ProjectThe-Swiss-Army-Knife-AI-Project
January 20, 2026 – Present
AI productivity workspace with 27+ tools in one interface. Chat with documents (RAG), convert media formats, extract data, manage links/QR codes, and deploy autonomous agents for research or meeting prep across Gmail/Calendar/Slack/Drive. All through natural language. Open source student project.
View ProjectCultural Fit Analysis
The candidate's diverse range of personal projects, many of which are AI/ML-focused and align with the 'Data Scientist' target role, indicates a strong passion for the field. The involvement in open-source projects and hackathons suggests a proactive, learning-oriented individual who could integrate well into an innovative and collaborative team culture. The breadth of technologies used across projects (Python, TypeScript, Go, Dart, C++) also points to adaptability and a willingness to explore different tools.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and innovative approach to problem-solving, particularly in developing complex AI systems. The involvement in hackathons and open-source projects indicates a collaborative spirit and a willingness to learn and contribute. However, without specific psychometric test results or interview data, a detailed assessment of stress handling, team collaboration, and work attitude is not possible.