
Exploring ML on GitHub.
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Data Science Engineer at Vunet Systems
Data Scientist
June 16, 2026 – Present
fastapi-freecodecamp
August 20, 2025 – August 20, 2025
Repo for experimenting with FastAPI. This is a course from Sanjeev Thiyagarajan.
View ProjectCoding-Assistant
March 18, 2025 – March 18, 2025
A chatbot that generates, modifies, and explains Python code using qwen2.5-coder-7b-instruct. Built with Gradio for an easy-to-use UI.
View Projectfine-tune-llama-2
November 5, 2023 – November 5, 2023
This project streamlines the fine-tuning process, enabling you to leverage Llama-2's capabilities for your own projects.
View Projectgradio_RAG
August 20, 2023 – August 22, 2023
Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.
View Projectclass_activation_maps
January 1, 2022 – January 2, 2022
A Class Activation Map is a weighted activation map generated for each image, helping us to identify the region a CNN is looking at while classifying an image.
View ProjectMSOIS
December 1, 2021 – January 29, 2022
Projects from my Masters of Engineering at Manipal School of Information Sciences.
View ProjectPGDDS
December 1, 2021 – December 1, 2021
Projects from my PG Diploma in Data Science at Indian Institute of Information Technology - Bangalore
View ProjectComputer-Vision-Projects
November 13, 2021 – October 22, 2023
Computer-Vision-Projects — GitHub repository
View ProjectExternal-Internship-Program
May 3, 2019 – June 11, 2022
Colaboratory Python Notebooks for Deep learning projects & Convolution Neural Networks, ordered by Sessions
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, showcasing initiative and a strong interest in data science and AI. However, the experience section lists a future start date for a 'Data Science Engineer' role, which is unusual and makes it difficult to assess current professional experience or cultural fit within a team. The project diversity is good within the AI/ML domain, but there's limited evidence of collaborative work or broader business context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.