Sagnik Bhattacharya — Product Engineer
I am pursuing my passion for advancing the frontiers of artificial intelligence and signal processing, with a focus on developing algorithms for efficient LLM inference, long context performance, model compression and quantization. I have been awarded multiple scholarships and honors for my academic excellence and research potential, including the General Proficiency Award, the Sridhar Memorial Scholarship, and the Sri Singhasan Singh Scholarship from IIT Kanpur, where I completed my Bachelor of Technology. Prior to joining Stanford, I worked as a Machine Learning Research Engineer at Samsung Electronics, South Korea, for two years, where I contributed to several projects and publications related to computer vision and signal processing.
Stackforce AI infers this person is a Machine Learning and AI specialist with a focus on signal processing and model optimization.
Location: Stanford, California, United States
Experience: 22 yrs 2 mos
Skills
- Machine Learning
- Generative Modeling
- Large Language Models (llm)
- Model Compression
- Computer Vision
- Statistical Modeling
Career Highlights
- Expert in algorithms for efficient LLM inference.
- Strong background in machine learning and signal processing.
- Recipient of multiple academic scholarships and awards.
Work Experience
Apple
ML Research Intern (3 mos)
Meta
Research Scientist Intern (3 mos)
Stanford University
Graduate Research Assistant (2 yrs 6 mos)
Samsung Electronics
Machine Learning Research Engineer (1 yr 11 mos)
Research Intern (1 mo)
SURGE IIT KANPUR
Research Intern (2 mos)
Indian Statistical Institute, Kolkata
Research Intern (2 mos)
Indian Institute of Technology, Kanpur
B.Tech (3 yrs 10 mos)
SOUTH POINT HIGH SCHOOL
STUDENT (13 yrs 10 mos)
Education
Master of Science - MS at Stanford University
Bachelor of Technology - BTech at Indian Institute of Technology, Kanpur
Higher Secondary at SOUTH POINT HIGH SCHOOL
