
Machine Learning Engineer | Building AI systems to make life better, one pr at a time
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
guava-powerbank-classifier
June 15, 2026 – Present
guava-powerbank-classifier — GitHub repository
View Projectcoe-autonomous-mobility
February 7, 2026 – Present
coe-autonomous-mobility — GitHub repository
View Projectdeep-learning-for-cv-beginner-articles
July 4, 2025 – July 4, 2025
deep-learning-for-cv-beginner-articles — GitHub repository
View Projectieee-cis-mitblr
December 6, 2024 – December 19, 2024
A responsive and dynamic web page for browsing and searching articles, developed for IEEE CIS MITBLR. This project features JSON-driven data rendering, advanced search functionality, and a pastel-themed design optimized for readability and accessibility. Perfect for showcasing a collection of articles with an intuitive user experience
View Projectdeep-learning-series
October 14, 2024 – November 2, 2024
Code examples and resources for a LinkedIn series on deep learning
View Projectairplane-reservation-system-python-2
December 6, 2021 – December 6, 2021
airplane-reservation-system-python-2 — GitHub repository
View Projectaeroplane-seat-reservation-python
February 3, 2021 – December 6, 2021
A very colourful interactive aeroplane-seat-reservation beta version
View Project2D-snake-game
January 17, 2021 – January 27, 2021
2D Snake Game!! made using python turtle
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a self-starter attitude. However, the diversity of projects (web development, simple games, deep learning) suggests a broad interest rather than a focused alignment with a senior Data Scientist role. The lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.