Snehasish Mukherjee

CTO

San Francisco, California, United States13 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led Walmart's Conversational AI platform with 13 patents.
  • Expert in Machine Learning and Computer Vision.
  • Strong academic background with top grades.
Stackforce AI infers this person is a leader in AI and Machine Learning, specializing in Conversational AI and Computer Vision.

Contact

Skills

Core Skills

Machine LearningComputer VisionConversational AiEngineering LeadershipC++Compiler Design

Other Skills

AlgorithmsCCSSCUDACombinatorial GeometryCore JavaD3.jsData StructuresGenerative AIHTMLJavaScriptMySQLPHPPatent DevelopmentPerl

Experience

13 yrs 9 mos
Total Experience
4 yrs 6 mos
Average Tenure
4 yrs 11 mos
Current Experience

Roblox

Technical Director - Machine Learning

May 2021Present · 4 yrs 11 mos · San Francisco Bay Area

  • Multimodal foundation models, Vision-Language Models, Machine Learning for Computer Vision, 3D Graphics, Content Understanding, Generative AI, Semantic Search, AI-assisted Content Creation, Multimodal Guidance for 3D Scene Generation, and Conversational AI.
Machine LearningComputer VisionGenerative AISemantic Search

Walmart labs

Distinguished Engineer (Director)

May 2013May 2021 · 8 yrs · San Francisco Bay Area

  • Led research & engineering for Walmart's Conversational AI platform as it's Head of Engineering. Work resulted in 13 patents and publications in the field of Conversational AI.
Conversational AIEngineering LeadershipPatent Development

Synopsys

R&D Engineer II

Jul 2012Apr 2013 · 9 mos · Bangalore

  • Designed, developed and troubleshot modules of the Verilog Compiled Simulator (VCS).
  • VCS is a C++ based compiler and simulator for chips and ICs. VCS, a market leader in its segment, converts chip designs written in Verilog to an executable format which can be run to verify the design and performance.
  • Work involved Compiler Design, Algorithms, Data Structures, C++, Verilog.
C++Compiler DesignAlgorithmsData Structures

Indian institute of science

Summer Research Intern

May 2011Jun 2011 · 1 mo · Bangalore

  • Interned at the Computer Science and Automation department. Explored open problems of computing upper bounds for epsilon nets for various range spaces in two dimensions. Epsilon nets are an intriguing class of problems in combinatorial geometry which requires the construction of nets (a subset of points) such that all range spaces of a given family that contain more than a fraction epsilon of points are bound to have non zero intersection with the net.
Combinatorial GeometryResearch

Education

Stanford University

Graduate Coursework — Artificial Intelligence

Indian Statistical Institute, Kolkata

Master of Technology (M.Tech.) — Computer Science

Heritage Institute of Technology

Master's degree — Computer Science

University of Calcutta

Bachelor of Science (B.Sc.) — Physics (Honors)

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