Mitesh Kumar Singh

Software Engineer

San Francisco, California, United States9 yrs 2 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in building intelligent systems for text and video.
  • Proven track record in developing AI models and QA agents.
  • Strong foundation in full stack development and software engineering.
Stackforce AI infers this person is a Software Engineer specializing in AI and full stack development.

Contact

Skills

Core Skills

Machine LearningAi DevelopmentComputer VisionDeep LearningNatural Language ProcessingSoftware Development

Other Skills

AR TechnologiesAlgorithmsAngularJSAutomationBERTCC (Programming Language)C++Cascading Style Sheets (CSS)Classification AlgorithmsComputer ScienceData StructuresDebuggingDrQAElasticSearch

About

Making ML research work in production! https://ai.facebook.com/people/mitesh-kumar-singh/ Finished my Masters in Computer Science from Stony Brook University where I worked with the COMPAS Lab and was supervised by Prof. Mike Ferdman . Love building intelligent systems, specifically systems that can understand text, images and videos. For example, built Eddie - an open domain, contextual and conversational QA agent Enjoy participating in algorithmic programming contests and hackathons

Experience

9 yrs 2 mos
Total Experience
4 yrs 7 mos
Average Tenure
6 yrs 2 mos
Current Experience

Facebook ai

Software Engineer

Feb 2020Present · 6 yrs 2 mos

  • 2023: Generative AI: Text To Image Data & Modeling
  • 2022: Efficient Multimodal Egocentric Activity Recognition For AR Devices
  • 2020-21: Multimodal Video Understanding & Classification
Generative AIText To Image DataModelingMachine LearningAI Development

Stony brook university

Deep Learning Research Assistant @ COMPAS Lab

Sep 2019Dec 2019 · 3 mos

  • Built an open-domain, contextual, conversational QA agent using modified DrQA, BERT and PGNet architectures. It has a document retriever, neural reader, clarifying system and an answer ranking module. Trained an attentive stacked biLSTM model having 45% F1 accuracy on QuAC dataset. Used attentive history embeddings for context. Improved the retriever accuracy (% match in top 5 doc) from 11% to 64% by adding previous QA pairs and topic as context in queries to retriever.
DrQABERTPGNetbiLSTMQuAC datasetDeep Learning+1

Facebook

Software Engineer Intern

Jun 2019Aug 2019 · 2 mos · Menlo Park, California

  • Built a debugging tool to show a room’s calendar and fix room booking issues. It reduced facebook’s calendar team on-call tasks by 18%. Automated the waitlist joining process for failed meeting room bookings, saving 320 mins of users time daily.
DebuggingAutomationRoom Booking SystemsSoftware Development

Goldman sachs

2 roles

Programmer Associate

Dec 2017Jul 2018 · 7 mos

New Associate Programmer Analyst

Jun 2015Nov 2017 · 2 yrs 5 mos

  • Full stack development of enterprise wide applications using Java technologies in Technology Business Management and Project Management domain.
JavaFull Stack DevelopmentSoftware Development

Microsoft

Software Developer Intern

May 2014Jun 2014 · 1 mo · Hyderabad

  • Developed a user interface for a desktop app for Windows 8.1.
  • Added a sync engine to the app using WinJS, WRL C++ and HTML.
  • The engine automatically synced music content between windows mobile and desktop music app.
  • Looked after scalability issues and usability of app on different platforms like tablets and PC's.
User Interface DevelopmentWindows 8.1WinJSC++HTMLSoftware Development

Education

Stony Brook University

Master's degree — Computer Science

Jan 2018Jan 2019

BIT Mesra Student-Industry Relations Cell

Bachelor of Engineering (B.E.) — Computer Science

Jan 2011Jan 2015

Jawahar Vidya Mandir,Shyamali, Ranchi

12th

Jan 2009Jan 2011

Saint Francis School,Ranchi

Xth

Jan 2004Jan 2009

Stackforce found 100+ more professionals with Machine Learning & Ai Development

Explore similar profiles based on matching skills and experience