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IISERTVM
Data Scientist
June 16, 2026 – Present
ClassicalSearchOnSlidingTile
February 16, 2026 – Present
ClassicalSearchOnSlidingTile — GitHub repository
View ProjectMazeSolver
September 9, 2025 – September 9, 2025
This project explores training an RL agent to solve mazes purely from vision. This includes generating random and unqiue mazes, creating a custom maze environment and training a PPO agent to reach the goal as fast as possible.
View ProjectRLFromScratch
September 8, 2025 – September 8, 2025
A set of notebooks with naive/basic implementations of most of the main Deep Reinforcement Learning algorithms. The implementation is quite simplistic (and slow) and are meant to be used as a learning tool.
View ProjectMachine-Learning-From-Scratch
March 28, 2025 – April 12, 2025
This repository contains educational notebooks that showcase the implementation of major ML models from scratch using only NumPy. Each notebook includes mathematical derivations, model implementations, and practical applications.
View ProjectYOLOv1-in-PyTorch
September 27, 2024 – December 26, 2024
YOLOv1-in-PyTorch — GitHub repository
View ProjectConvolulationalNeuralNetwork
August 21, 2024 – December 26, 2024
ConvolulationalNeuralNetwork — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on core ML/DL implementations. While this demonstrates strong technical curiosity, there is limited evidence of collaborative projects, diverse application domains beyond core ML, or experience in a production data science environment. The single listed work experience as 'Data Scientist' at IISERTVM is current but lacks details on responsibilities or achievements, making it difficult to assess alignment with typical industry data scientist roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.