Vatsal B.

Co-Founder

Berkeley, California, United States5 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Expert in large-scale model inference and serving.
Contributed to Microsoft’s Recommenders Platform.
Built reliable ML systems for billions of users.

Stackforce AI infers this person is a Machine Learning Engineer specializing in scalable AI solutions for B2C applications.

Contact

Skills

Core Skills

Machine LearningModel ServingRecommender SystemsDistributed SystemsResearch Skills

Other Skills

C#.NET FrameworkPrompt EngineeringMicrosoft Azure Machine LearningGPT-4LangchainC++Semantic KernelQualitative & Quantitative Research MethodologiesInterviewingSearch Engine RankingEconometricsData ScienceOperating SystemsJava Programming

About

Hello! I am a Machine Learning Engineer at Netflix, specializing in large-scale model inference and model serving for LLMs, multi-armed bandits and recommender systems. Previously contributed to Microsoft’s Recommenders Platform for Microsoft AI, implementing robust data infrastructures and advancing scalable personalization algorithms. Experienced in building reliable, production-grade ML systems to serve billions of users.

Experience

5 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

3 mos

Current Experience

South park commons

Member

Jan 2026 – Present · 3 mos

Netflix

Machine Learning Engineer

Sep 2024 – Dec 2025 · 1 yr 3 mos · Los Gatos, California, United States · On-site

Machine Learning Platform - Model Serving

Machine LearningModel Serving

Microsoft

Software Engineer

Jun 2021 – Sep 2024 · 3 yrs 3 mos · Bellevue, Washington, United States

Develop and maintain state-of-the-art machine learning platform for Microsoft AI Recommendations, serving over 500k RPS across Microsoft Edge and Microsoft Bing verticals.
The Microsoft Start Page is one of the many applications that is powered by these Recommendations

Recommender SystemsDistributed SystemsC#.NET FrameworkPrompt EngineeringMicrosoft Azure Machine Learning+4

Department of economics, uc berkeley

Research Assistant

Jan 2020 – Jan 2021 · 1 yr · Berkeley, California, United States

Developed predictive ML algorithms to classify Indian households into income deciles

Motif investing

Software Engineer

Jan 2019 – Jan 2019 · 0 mo · San Mateo, Berkeley

· Interfaced with third-party clearing firm to fetch data and automate file-scraping using the SPRING framework
· Developed data pipelines and querying system to ingest millions of records daily using AWS dynamoDB and Terraform

Berkeley rise lab

Backend Software Developer

Jan 2019 – Jan 2019 · 0 mo · Berkeley, California

· Designed back-end API for Harbor, an online platform that hosts live machine learning models whose predictions are served by Clipper, a low latency prediction serving system
· Interfaced with Harbor’s web platform using Starlette, a lightweight ASGI web framework, and stored/ queried data using GINO, an asynchronous database management software

Centre for civil society

Policy Researcher

Jan 2018 – Jan 2018 · 0 mo · New Delhi Area, India

· Published research paper: Labour Inspections in New Delhi. In Progress Research: Public Procurement of IT Services in India.
· Persuaded government officials to provide administrative data which I analyzed using R (dplyr) to expose Delhi Labour Departments’ record keeping malpractices
· Developed software to bypass captcha and data mine from Indian Procurement Portal using Selenium (python library). Cleaned and analyzed this data using Python (pandas) and R (ggplot and dplyr) to determine competition in public procurement of IT services

Qualitative & Quantitative Research MethodologiesInterviewingResearch Skills