Suyash Dubey
@suyashdubey
Undergrad Research Assistant at VLSI Lab IIIT Delhi
New Delhi, India
Suyash Dubey is a skilled engineer with comprehensive experience in Generative AI, backend development, and hardware architecture. He has successfully implemented features using microservices (Springboot, Java) and developed advanced ML models utilizing LLMs, Neo4j, and TensorFlow. His research background includes evaluating hardware accelerators for Neural Networks and developing full-stack applications, demonstrating a strong technical foundation across multiple domains.
Experience
Undergrad Research Assistant
VLSI Lab IIIT Delhi
Evaluating the performance of hardware accelerators for Neural Networks using in-memory computation. Analyzing CNNs and replacing layers with in-memory computations to study improvements in accuracy and execution time.
Generative AI engineer
Soul AI
Designed a new LLM for tutoring students. Applied prompt engineering and created knowledge graphs using Neo4j. Focused on bias mitigation and responsible AI use.
Backend developer
National Health Authority (NHA)
Worked on the backend framework of the Digital health portal. Implemented Subscription management flow using microservices architecture. Utilized NoSQL (MongoDB) and performed API testing with unit test cases.
Junior ML engineer
Omdena AI
Developed a fully functional ML web app for Goe Wellness. Involved data collection, analysis, and building recommendation systems using knowledge graphs.
Undergrad Research Assistant
MIDAS Lab IIIT Delhi
Developed models for image parsing and data extraction from product images. Trained models using over 1000 sample images and built data quality algorithms.
Education
IIIT Delhi
B.tech
Electronics and communications engineering
ISG Jubail
American Standards-based curriculum
Accredited by MSA CESS.