
ML @flipkart, Chennai Mathematical Institute
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
pi-assistant
April 12, 2026 – Present
Voice-activated AI assistant on a Raspberry Pi. Runs a local Whisper model for wake word detection and routes commands through an LLM via OpenRouter for tool calling.
View Projectmcp-adder
November 22, 2025 – November 22, 2025
Minimal example showing FastMCP server that adds two numbers
View Projectknowledge_distillation
March 3, 2025 – March 3, 2025
knowledge_distillation — GitHub repository
View Projectmovielens_gnn
November 24, 2024 – December 24, 2024
Implementing recommendation algorithms using graph machine learning techniques
View Projecttictactoe
September 2, 2024 – September 6, 2024
Tic-Tac-Toe game with an AI opponent trained using Q-learning. Features a GUI for gameplay and tools for training and analyzing the AI's performance.
View Projectmlflow-docker
June 16, 2024 – June 16, 2024
MLflow Remote Server Deployment using Docker, MINIO and Postgress
View Projectrag_api
October 20, 2023 – October 23, 2023
Retrieval Augmented Generation API using Open LLMs and FastAPI
View ProjectbikeSharing
July 11, 2020 – July 12, 2020
Implementing stateful GRU on bike sharing demand challenge on kaggle
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in self-directed learning and exploration within the data science and AI domain. The diversity of projects, from game AI to RAG APIs and MLOps, suggests a curious and proactive individual. However, without team-based projects or professional experience, it's difficult to assess collaboration or fit within a structured team environment. The focus on personal projects aligns with a self-starter mentality but lacks evidence of enterprise-level collaboration or project management.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.