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🧠 BTech CSE @ MIT-WPU | AI, Game Dev & Full-Stack Enthusiast | Building intelligent & interactive systems that make an impact 🚀
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DL_MiniProject_Hinglish-to-English-Translation-Fine-Tuning-MarianMT-and-LSTM
March 30, 2026 – Present
DL_MiniProject_Hinglish-to-English-Translation-Fine-Tuning-MarianMT-and-LSTM — GitHub repository
View ProjectCI-CD_project
October 27, 2025 – October 27, 2025
CI/CD pipeline using GitHub and Jenkins — automates testing and deployment on every push for seamless integration and faster delivery.
View ProjectGameAI-Pathfinder
October 19, 2025 – Present
Comparative study of A* and Q-Learning for 2D pathfinding — built in C++ with reproducible analysis.
View ProjectSlime-Escape
October 18, 2025 – October 20, 2025
Physics-based puzzle platformer in modern C++ with SFML, featuring real-time slime mechanics.
View Projectformbridge
October 16, 2025 – Present
Cloud-native backend-as-a-service for form handling with AI insights, built on AWS Lambda.
View Projecttextshare
October 3, 2025 – October 7, 2025
Universal content-sharing platform — text, files, URLs, QR codes, and bio links via Next.js & PostgreSQL.
View ProjectCampusX
September 22, 2025 – October 27, 2025
Student-only verified community app for forums, marketplace, and campus events — built in Flutter & Firebase.
View Projectomdeshpande09012005
August 5, 2025 – October 29, 2025
omdeshpande09012005 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, from game AI to full-stack development and CI/CD, suggests adaptability and a broad technical curiosity. However, the direct alignment with a 'Data Scientist' role is moderate, with only a few projects directly related to deep learning or data analysis. The lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural fit in a corporate setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.