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autoresearch-prompt-evolution
June 7, 2026 – Present
autoresearch-prompt-evolution — GitHub repository
View ProjectLLM-Chatbot-RAG-V1
May 17, 2025 – May 25, 2025
AI powered chatbots that have specific knowledge about an underlying dataset. Text embeddings and a vector database to perform retrieval-augmented generation (RAG). Built upon Langchain Framework.
View ProjectVideo-Transcoding-Service-POC
March 29, 2025 – March 29, 2025
A proof-of-concept video transcoding service built with Node.js, TypeScript, and Express. This service is designed to handle video processing and transcoding operations for a video platform.
View ProjectMCP-Server-Couchbase
March 29, 2025 – May 5, 2025
A Model Context Protocol (MCP) server that enables LLMs to interact directly with Couchbase databases. Query buckets, execute N1QL queries, and manage data seamlessly through natural language.
View ProjectImage-Processing-Service
March 4, 2025 – March 6, 2025
Image-Processing-Service — GitHub repository
View Projectblog-publishing-platform
August 8, 2024 – January 21, 2025
blog-publishing-platform — GitHub repository
View ProjectToken-based-Authentication-Service
July 11, 2024 – July 13, 2024
Token-based-Authentication-Service — GitHub repository
View ProjectDocument-Management-Service
July 3, 2024 – August 8, 2024
Document-Management-Service — GitHub repository
View Projectsih-2022-honeypot
March 13, 2022 – September 27, 2022
This project was created during the course of a hackathon for SIH 2022@bennett_univ
View ProjectReal_Estate_Price_Prediction_UsingML
June 23, 2021 – July 9, 2021
A real Estate Price Prediction Project implemented using Data Science and ML.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on personal projects, primarily in TypeScript, with some Python. While there are a few data science-related projects, the majority are web services or general software development. This indicates a broad technical interest but a less direct alignment with a dedicated Data Scientist role, suggesting a potential need for more focused experience in data science methodologies and tools beyond basic ML models.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.