Puneet Mangla

AI Researcher

Noida, Uttar Pradesh, India6 yrs 5 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in vision and multimodality research.
  • Published works in top conferences and workshops.
  • Experience in adversarial and self-supervised learning.
Stackforce AI infers this person is a Data Scientist specializing in SaaS and AI-driven solutions.

Contact

Skills

Other Skills

Adversarial learningAndroid DevelopmentDjangoEiffelGenerative Adversarial NetworksGitGo (Programming Language)HaskellJava SwingObject-Oriented Programming (OOP)PostgreSQLProblem Solving

About

I am a Data and Applied Scientist at Microsoft Ad Science team working on Ad Trust and Safety. My work primarily involves training/deploying large scale vision/text/multimodal classification models for non-compliant policies. Before this, I was a ML researcher at Adobe Experience Manager (AEM) Forms - working in the domain of documents, vision, and multimodality. I received my undergraduate in CS from the IIT Hyderabad where I worked as a student researcher in the Machine Learning and Vision Group, headed by Dr. Vineeth Balasubramaninan. I love research and my works at IIT, and Adobe have been published in some of the top conferences and workshops. I have also served as a reviewer for several conferences and journals. My interests lie in general in vision and multimodalty with experience in adversarial/OOD robustness, few/zero-shot learning, and self-supervised learning. You can get to know more about my research at https://puneet2000.github.io

Experience

6 yrs 5 mos
Total Experience
1 yr 7 mos
Average Tenure
3 yrs 7 mos
Current Experience

Microsoft

2 roles

Data and Applied Scientist 2

Aug 2024Present · 1 yr 10 mos

Data and Applied Scientist

Nov 2022Aug 2024 · 1 yr 9 mos

Educative, inc.

Author

Oct 2022Apr 2024 · 1 yr 6 mos

Pyimagesearch

Freelance Author

Jan 2022Present · 4 yrs 5 mos

Adobe

Member Of Technical Staff

Jul 2021Nov 2022 · 1 yr 4 mos · Noida, Uttar Pradesh, India

  • Working on Automated Form Structure Extraction using Deep Learning at Adobe Experience Manager Forms Team.

Acm student chapter, iit hyderabad

Interest Group Moderator at Machine Intelligence

Sep 2020Apr 2021 · 7 mos

Adobe

2 roles

Research Intern

May 2020Jul 2020 · 2 mos

  • Worked on image generation in FewShot and limited data regimes.

Research Intern

May 2019Jul 2019 · 2 mos · Noida Area, India

  • Worked on improving few-shot classification performance. Our proposed method S2M2 beats the current state-of-the-art accuracy on standard few-shot learning datasets like CIFAR-FS, CUB and mini-ImageNet by 3-8%.
  • Work accepted at IEEE WACV 2020 Conference.

Redpine signals

Computer vision intern

Jan 2019Apr 2019 · 3 mos · Hyderabad, Telangana, India

  • Literature survey on multiple/collective activity recognition papers. Implementation of activity/helmet recognition models on customized datasets.

Iit bombay

Android Developer

May 2018Jul 2018 · 2 mos · Mumbai, Maharashtra, India

  • Created an app to receive raw EEG data from hardware using Bluetooth services then filtering it using signal filters and displaying eight independent graphs (each graph for one channel) .

Iit hyderabad

Full stack developer

Feb 2018Jan 2019 · 11 mos

  • This endeavour aims to build a news aggregation based social platform application that would read out news to users by allowing them to choose voice as well as language of their choice. Among other features we would deliver personalized news, short news summaries and a platform for users to interact and express their views regarding the same.

Education

Indian Institute of Technology Hyderabad

Bachelor of Technology — Computer Science

Jan 2017Jan 2021

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