ML Engineer | Kaggle Master | Programmer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MedEmbed
October 19, 2024 – November 16, 2025
MedEmbed is a collection of embedding models fine-tuned specifically for medical and clinical data.
View Projecttamil-llama
November 8, 2023 – April 5, 2024
A New Tamil Large Language Model (LLM) Based on Llama 2
View Projectgptq_for_langchain
May 11, 2023 – August 19, 2023
A guide about how to use GPTQ models with langchain
View Projectisolated-sign-language-recognition
March 30, 2023 – May 7, 2023
Google - Isolated Sign Language Recognition (Kaggle Competition) - BRONZE MEDAL WINNING SOLUTION
View Projectml-notebooks-101
October 10, 2020 – October 27, 2020
Beginner-friendly implementations of ML algorithms for various problems
View Projectblog-posts
September 25, 2020 – September 25, 2020
Code and support materials that goes with my blog posts
View Projectquick-flask-server
September 21, 2020 – September 21, 2020
Python Package to serve your Flask apps from local development server to the Internet using ngrok in a single line of code.
View Projectlunar-lander-deep-rl
May 23, 2020 – December 8, 2022
Solving OpenAI Gym's Lunar Lander environment using Deep Reinforcement Learning
View Projectplanets-recognizer-app
January 14, 2020 – October 3, 2023
This is a ML-powered Web app that can identify planets in your images.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for Machine Learning through numerous personal projects, indicating a self-starter mentality. The diversity of projects, from LLMs to medical embeddings and sign language recognition, suggests a broad interest within the ML domain. However, without professional experience or team-based projects, it is difficult to assess collaboration or adaptability within a structured team environment. The focus on personal projects aligns with a culture that values individual initiative and continuous learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-driven individual, but there is no information regarding teamwork, communication, or problem-solving in a collaborative environment.