Amazon AWS | CS, BITS Pilani
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Assessing your cultural and operational fit
CodeSentinel
May 25, 2026 – Present
Multi-agent AI code reviewer with QLoRA fine-tuning scaffold, vLLM serving, structured outputs, and GitHub PR integration
View ProjectAgentLens
May 25, 2026 – Present
AgentLens is a production-grade agentic RAG system that answers natural-language questions by orchestrating real-time web retrieval, hybrid semantic search, reflection-based gap recovery, and claim verification, all streamed to the user via Server-Sent Events
View ProjectLangChain_Book_Query
April 24, 2023 – April 24, 2023
Query large documents for relevant information using LangChain, OpenAI, and Pinecone.
View Projectfinance-dashboard
March 26, 2023 – April 3, 2023
MERN Finance Dashboard App that uses Machine Learning predictions
View Projectsimplebank
March 19, 2023 – April 1, 2023
A backend service for banking transactions written in Golang
View Projectsolana-twitter
March 11, 2023 – April 2, 2023
Twitter clone built on Solana blockchain using Rust & Anchor
View ProjectFlash-Loans
February 8, 2023 – February 9, 2023
Smart Contract to perform arbitrage via Aave Flash Loans
View ProjectDecentralized-Exchange-Uniswap
February 6, 2023 – April 2, 2023
A decentralized exchange (DEX) that enables peer-to-peer trading of crypto tokens
View ProjectLottery-dApp
February 5, 2023 – April 2, 2023
A decentralized lottery made with The Graph protocol and Chainlink VRF, deployed on the Polygon testnet.
View Projectmotion-prediction-in-AVs
November 11, 2020 – December 23, 2020
Exploring various methods to predict the motion of autonomous vehicles in presence of multiple agents
View ProjectCultural Fit Analysis
The candidate's project portfolio is highly diverse, spanning blockchain, AI/ML, and web development. While this demonstrates a broad technical curiosity, the majority of projects are personal and do not directly align with a typical 'Data Scientist' role, which often requires more focus on statistical modeling, data engineering, and specific ML frameworks. The breadth of technologies suggests adaptability but also a potential lack of deep specialization in core data science areas. The target role 'Data Scientist' is only partially supported by the project work, which leans heavily into AI/ML application development rather than pure data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive and self-directed learning style, but there is no information on teamwork, communication, or problem-solving in a collaborative environment.