
Computer Science undergraduate (B.Tech CSE) with a focused interest in Artificial Intelligence, Machine Learning, and Computer Vision. Proficient in Python, C++, and Java, with practical experience in developing and contributing to AI, deep learning, and machine learning projects, including open-source initiatives. Experienced in building data-driven and intelligent systems, applying algorithms and models to solve real-world problems. Strong foundation in translating theoretical concepts into scalable, efficient implementations. Demonstrates effective technical communication and collaboration within cross-functional teams. Motivated to contribute to advanced, technology-driven projects with real-world impact.
Gaining hands-on experience in frontend, backend, and API development using Angular, PostgreSQL, and .NET Core. Contributing to the Automatic Vehicle Location System project, focusing on real-time tracking and geospatial technologies. Working on large-scale government projects, refining technical expertise in software development and data-driven solutions.
Contributed to the design and development of AI models and data lake systems, streamlining enterprise-level data management. Provided strategic insights that optimized project execution, showcasing a strong technical foundation in AI and machine learning. Collaborated with a cross-functional team, leveraging exceptional communication and interpersonal skills to drive impactful results. Demonstrated dedication and passion by exceeding project requirements, delivering high-quality outcomes within tight deadlines.
Led a team of 8 interns toward the successful hosting of a webinar for kids on topics such as traffic mannerisms, road rage, and anti-spitting campaigns.
Took the initiative to restructure and improve the organization’s website, and wrote engaging content to spread awareness on all topics.