Versatile engineer passionate about deep learning and AI, leveraging cutting-edge technologies like LLMs to address complex challenges across domains. Driven by a bias toward action, using real-world data to uncover insights and solutions. Seeking opportunities to apply and expand my skills in a dynamic environment.
Conducted research, developed prototypes, and automated workflows using state-of-the-art techniques and large language models (LLM) to enhance operational efficiency. Technologies used include Python frameworks, LLM, VLM, and prompt engineering.
As an AI Tutor at Remotasks' Coding Experts, I created challenging coding prompts to train AI models for code review and generation. I analyzed code samples and provided feedback to enhance model accuracy and efficiency.
A system that allows users to search for specific content within videos. It processes video content and creates searchable indexes, making it easy to find exact moments in long videos without watching them entirely.
Technologies used: gemini-flash api, embedding models, vector databases.
A fine-tuned Mistral-7b model specialized in medical knowledge. It's designed to assist healthcare professionals by providing quick access to medical information, helping with diagnoses, and offering treatment suggestions based on the latest medical research.
Developed and documented a 'Neural Network from Scratch' project to deepen understanding of machine learning algorithms. The repository contains .ipynb and Python files with detailed study notes. Reviewed and synthesized insights from key research papers.
Developed a system for sanitizing food products using an ozone generator, focusing on design and testing to ensure effective sanitation while maintaining product quality. Gained expertise in ozone generators, food safety regulations, and quality control processes.
An AI-powered tool that analyzes interview performances. It provides detailed feedback, helps identify strengths and areas for improvement, and offers a pass/fail assessment. Useful for job seekers practicing for interviews and for hiring managers in the recruitment process. Built using Gemini, Gradio. Deployed using Docker.
Pytorch, Hugging face
Python, C
Pandas, Numpy, Matplotlib, Flask
Git, Github
Relevant coursework: Digital Signal Processing, Computer Networks, Analog
and Digital Circuits, Operating Systems, Embedded systems, Artificial
Intelligence, and Machine Learning.
Relevant coursework: Physics, Chemistry, Maths and Electronics
Volunteered and managed cultural programs which were hosted.
Fluent English, Hindi and Kannada.
I love stumbling upon topics that let me dive into deep rabbit holes, Weight training, books and Football.