Graduate student with a keen interest in Generative AI, Deep Learning, Artificial Intelligence and Software Development.
Taking up specialization courses in AI, Machine Learning, Deep Learning, Python, Cloud Computing.
Completed my Higher Education(HSC) in Science Stream with my Majors in Physics, Chemisty and Mathematics with 87.66%. Was a part of various activities and central commitee in school.
Completed my Secondary Education(SSC) with 93.50%. was a part of sports and central committe of school.
Leading an automation industry project focused on IoT infrastructure and system design. Orchestrating seamless sensor integration via an edge gateway with diverse industrial protocols. Developed and deployed a Linux service-based WebUI for efficient device configuration. Implementing AI-driven autoconfiguration to streamline setup processes. Pioneering the integration of an advanced Large Language Model (LLM) for intelligent configuration prompts. Advancing to automated code generation for application engineering. Introducing natural language-based visualization for enhanced user experience and system comprehension.
I worked at Physical Research Laboratory as a Machine Learning Researcher, where I am contributing to a project that explores the use of Hypergraph Message Passing Neural Networks for jet analysis. This project aims to improve machine learning-based QCD studies and enhance the performance of particle physics analysis. My role involves researching, designing, and implementing machine learning models and algorithms to achieve accurate and efficient analysis of high-energy particle collision data
The DefenceHub is a web-based platform that aims to provide support, guidance, and information to defence aspirants in India. The project seeks to address the challenges and difficulties that defence aspirants face during the recruitment process, and to provide a range of resources and tools that can help these individuals prepare for a career in the military.
I gained hands-on experience in data analysis and project management, including working on a project of Draftsy Fantasy Sports.Implemented statistical data analysis Big Data analysis of Draftsy to ensure the data correctness and integrity. Cleaned Data and performed basic data analysis using Power BI. Performed the linear regression and time‐series analysis to evaluate the proposed capital expenditures Worked upon AMD Machine learning pipelines and managed well documented code.
Contributed to the development 30+ Machine Learning repository. google, facebook research, HuggingFace etc.
My role involves researching, designing, and implementing machine learning models and algorithms to achieve accurate and efficient analysis of high-energy particle collision data.
The DefenceHub includes a number of key features and capabilities, including an eligibility calculator that allows defence aspirants to determine their eligibility for different positions in the military, a blog section with text-to-speech and summarization tools, and a directory of coaching centers and other resources for defence aspirants. The project also includes an e-commerce section where users can purchase Army merchandise, and a section where veteran military officers can share their experiences and insights with the DefenceHub community.
Runners Up among 1300+ teams in Smart India Hackathon(SIH) 2022 at Chandigarh University organized by Ministry of Education(MoE) and Government of India.
Runners Up among 25+ teams in Solution Fest organized by Google Developer Students Club-BVM.
You can reach out to me via below mentioned references
10, Omakareshwarnagar-2, B/H College Ground, Kalol, India