Yash Chennawar
Incoming @ Lockheed Martin | ML Researcher @ Rutgers | CS, DS, & Math @ Rutgers University Honors College NB
- Role
- Machine Learning Research Assistant at Rutgers University New Brunswick
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Yash Chennawar
Hello! My name is Yash Chennawar, and I am an aspiring ML Engineer passionate about artificial intelligence, machine learning, and software engineering, with a keen interest in quantum computing. I am pursuing a Bachelor of Science in Computer Science and Mathematics at Rutgers University–New Brunswick Honors College.Currently, I am working as an Undergraduate Research Assistant at Rutgers, where I am developing brain-inspired neural networks to push the boundaries of AI and deep learning. My research focuses on innovative approaches to neural network training and pattern discrimination learning tasks.I have a strong love for coding and development. My technical skills include- Languages: Python, Java, C, C#, JavaScript, TypeScript, HTML/CSS- Frameworks and Tools: PyTorch, TensorFlow, LangChain, OpenAI API, Unity, GitI have worked on various projects, including developing a personalized book recommendation system using machine learning and creating VR applications for healthcare professionals. I am constantly learning new languages, frameworks, and principles to enhance my skills further.I am currently seeking internship opportunities for software engineering and machine learning engineer roles for Summer 2026. I enjoy meeting people and hearing new ideas, so feel free to connect!
Experience
Machine Learning Research Assistant
Rutgers University New Brunswick
May 2024 — Present · Piscataway, NJ, US
Research and develop neural networks inspired by biological brain mechanisms to advance pattern discrimination tasks as solutions for the deep learning synaptic credit assignment problem, and publishing a paper in Cell Reports. Leverage PyTorch in Python for building and fine-tuning neural network models for spiral and MNIST datasets. Conduct validation to optimize performance with HPC multithreading on Linux compute cluster with shell scripts. Began researching through Aresty Summer Science.
Education
Rutgers University–New Brunswick
Bachelor of Science - BS, Computer Science and Data Science
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