Subrata Mitra

AI Researcher

Bengaluru, Karnataka, India17 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-authored 40+ publications in top-tier conferences.
Co-inventor on 30 US patents.
Expert in scalable AI systems and distributed systems design.

Stackforce AI infers this person is a highly skilled researcher in AI and distributed systems with a focus on scalable solutions.

Contact

Skills

Core Skills

Machine LearningDistributed SystemsRecommender SystemsCloud ComputingSystem Architecture

Other Skills

CommunicationAlgorithmsQuery WritingData ManagementCloud StorageDeep LearningCOGSGenerative AIApplied Machine LearningPublicationsServerless ComputingBig Data AnalyticsApplied SciencesArtificial Intelligence (AI)Root Cause Analysis

About

I focus on core technologies for high-quality, low-latency, and cost-efficient generative AI (GenAI) systems. I enjoy research and large-scale system design for state-of-the-art scalable AI-systems. I have expertise in distibuted systems design, applied machine learning, large-scale data processing, recommender systems, utilization/cost optimization in cloud computing. I have co-authored 40+ publications in top tier computer conferences on systems and AI. I co-invented in 30 US patents. My papers have been cited 2000+ times. Personal page: https://sites.google.com/site/subratamitraweb/ Adobe Research page: https://research.adobe.com/person/subrata-mitra/ Google scholar: https://scholar.google.com/citations?hl=en&user=k41NGc8AAAAJ

Experience

17 yrs 4 mos

Total Experience

2 yrs 7 mos

Average Tenure

9 yrs 6 mos

Current Experience

Adobe

Senior Research Scientist

Dec 2016 – Present · 9 yrs 6 mos · Bengaluru, Karnataka, India

Research on cloud, distributed systems and machine learning.
Personal website: https://sites.google.com/site/subratamitraweb/
1. Efficient insights discovery through ML-based large-scale data processing and approximations
2. Large-scale distributed data processing for Big Data analytics
3. Cost efficient ML systems
4. Video analytics systems
5. Scalable recommender systems
Enabling scalable recommendations for Behance.net
https://fstoppers.com/news/behance-releases-its-biggest-update-ever-261103

Machine LearningCommunicationAlgorithmsSystem ArchitectureQuery WritingData Management+43

At&t labs research

Research Intern

May 2015 – Aug 2015 · 3 mos · New York City Metropolitan Area

Performance optimization in distributed storage systems.
Proposed Partial-Parallel-Repair (PPR) repair technique for Erasure-Coded storage.
EuroSys Paper: https://dl.acm.org/citation.cfm?id=2901328

System ArchitectureCloud StorageCloud ComputingTechnical innovationDistributed Systems

Microsoft research

Research Intern

May 2014 – Aug 2014 · 3 mos · Redmond, Washington, United States

Resource optimization in multi-tenant storage systems.

System ArchitectureApplied Machine LearningCloud ComputingTechnical innovationDistributed Systems

Lawrence livermore national laboratory

Research Intern

May 2013 – Aug 2013 · 3 mos · San Francisco Bay Area

Automated debugging for performance problems at massive scale in supercomputers.
PLDI Paper: https://dl.acm.org/citation.cfm?id=2666356.2594336
Open sourced code:
https://github.com/scalability-llnl/AutomaDeD

System ArchitectureTechnical innovationDistributed Systems