
Full Stack Engineer with ~3 years of experience working in product-based companies and AI startups.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
shellter
May 28, 2026 – Present
shellter - An AI-powered Linux shell that helps developers integrate systems, test APIs, and collaborate in real-time.
View Projectbackend-hackathon-2026
April 15, 2026 – Present
backend-hackathon-2026 — GitHub repository
View Projectreconlite
November 22, 2025 – November 25, 2025
ReconLite is a Mini Reconciliation Workflow System that works for BFSIs to handle the reconciliation of the bank transaction and internal transaction amounts. This project is made as a demo for the application and the idea of what it is supposed to be using React.js frontend and Java backend.
View Projectadforge
November 18, 2025 – November 25, 2025
AdForge is a platform that allows users to quickly generate advertisement video content based on textual prompts.
View Projectce-logistics-platform
December 18, 2022 – December 19, 2022
ce-logistics-platform — GitHub repository
View Projectcollege-adsl-programs
March 30, 2021 – July 1, 2021
college-adsl-programs — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a broad interest in various technologies and domains, from mobile development ('Gruhini') to AI-powered tools ('shellter') and web applications ('reconlite', 'adforge'). This diversity suggests adaptability and a willingness to explore different areas, which could be a positive cultural fit for dynamic environments. However, the target role is 'Data Scientist', and while there's a machine learning project, the overall project portfolio is very broad rather than deeply focused on data science specific challenges. This breadth could indicate a generalist approach rather than a specialized focus, which might require further assessment for a specific data science role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.