Full Stack JavaScript Engineer
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insurance-policy-rag
March 24, 2026 – Present
AI-powered insurance policy understanding system using RAG (LLMs + Vector DB) to extract coverage, exclusions, and insights from complex documents.
View Projectinteractive-event-seating-map
March 10, 2026 – Present
interactive-event-seating-map — GitHub repository
View Projecthigh-performance-user-api
March 9, 2026 – Present
High-performance Express.js API with LRU caching and rate limiting.
View Projecttodo_api_nestjs
November 18, 2024 – November 18, 2024
todo_api_nestjs — GitHub repository
View Projectonline-auction-system
June 18, 2023 – June 22, 2023
A real time auction and bidding system, where user list item, add money, place bidding and highest bidding wins with success transfer of money
View ProjectQuestion_Generation_NLP
August 6, 2018 – September 24, 2018
Question_Generation_NLP — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse range of interests, from web development (TypeScript, JavaScript, HTML, CSS) to AI/NLP (Python, Jupyter Notebook). This breadth suggests adaptability and a willingness to explore different technical domains. The 'Question_Generation_NLP' and 'insurance-policy-rag' projects align well with a Data Scientist role, indicating a potential cultural fit for an organization focused on AI/ML innovation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there's no information on collaboration, problem-solving approaches, or communication style.