Shakti Kumar

AI Researcher

Toronto, Ontario, Canada8 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Designed ML quantization techniques reducing embedding costs by 8x.
  • Led Instagram Stories Ranking, driving $45M in revenue.
  • Expert in machine learning architectures and optimization.
Stackforce AI infers this person is a Machine Learning expert in AdTech and Social Media.

Contact

LinkedIn

Skills

Core Skills

Machine Learning

Other Skills

Quantization TechniquesTransformerVariational AutoencodersPythonData StructuresGitC++CMatlab

About

I design core modelling architectures of ads recommenders at meta. Previously designed instagram stories/reels recsys. https://www.cs.toronto.edu/~shaktik/

Experience

8 yrs 3 mos
Total Experience
1 yr 8 mos
Average Tenure
3 yrs 11 mos
Current Experience

Meta

2 roles

Research Scientist

Promoted

Apr 2024 – Present · 2 yrs 1 mo

  • [Ads Recommendation] I research Ads RecSys architectures at Meta's Monetization org. In particular I design ML based quantization techniques which reduce cost of high dimensional embeddings by upto 8x to use in RecSys models at scale. See our work here: http://papers.adkdd.org/2025/papers/adkdd25-ramasamy-semantic.pdf
Machine LearningQuantization Techniques

Research Scientist

Jun 2022 – Mar 2024 · 1 yr 9 mos

  • [Instagram Ranking] I led the core modelling workstream at Instagram Stories Ranking driving key architectural improvements. I produced multiple launches with topline wins cumulating ~45M in overall IG revenue. I drove end-to-end processes: from developing neural architectures to leading launch processes. My ownership and XFN collaboration across Instagram’s ML teams optimized our GPU footprint significantly, led to substantial modelling+infra innovations and opened new investment directions.
Machine Learning

Vanguard

2 roles

Research ML Scientist

Jan 2021 – Jun 2022 · 1 yr 5 mos · Toronto, Ontario, Canada

  • Leading efforts on devising novel machine learning algorithms in Few Shot learning through statistics and neural networks.
  • Contributing to business use cases in multi-dimensional sentiment prediction/analysis of textual contents.

Research Intern

May 2020 – Dec 2020 · 7 mos · Toronto, Ontario, Canada

  • Researcher at the Center for Analytics and Insights, Vanguard working in unsupervised latent representation learning. Exploring Transformer based VAEs for improving disentangled latent representations.

University of toronto

2 roles

Teaching Assistant

Jan 2020 – May 2020 · 4 mos

  • Teaching Assistant for CSC384: Introduction to Artificial Intelligence at the Dept. of Computer Science supervised by Prof. Bahar Aameri and Prof. Sonya Allin.

Teaching Assistant

Sep 2019 – Dec 2019 · 3 mos

  • Teaching Assistant for CSC108: Introduction to Python at the Dept. of Computer Science supervised by Prof. Jennifer Campbell and Mario J. Badr

Cisco

2 roles

Software Developer

Jul 2018 – Aug 2019 · 1 yr 1 mo

  • Software Developer in Data Center Networks team developing Analytics and Learning models for Service Assurance in Cisco Data Centers globally.

Intern

Jan 2018 – Jun 2018 · 5 mos

  • Developed LSTM bots for Conversational Workplace AI Software using RASA and Cisco's open-sourced MindMeld libraries.

Sandisk®

Software Tools Intern

Jun 2017 – Jul 2017 · 1 mo · Bengaluru

  • CICD Team

Indian institute of technology, hyderabad

Research Fellow

May 2016 – Dec 2016 · 7 mos · Hyderābād Area, India

  • Networked Wireless Systems (NeWS) Lab https://newslab.iith.ac.in
  • Researcher in Access Barring Schemes for congestion control in MTC traffic in LTE for IoT applications

Education

University of Toronto

MSc. Applied Computing

Jan 2019 – Jan 2021

RV College Of Engineering

Bachelor’s Degree — Computer Science

Jan 2014 – Jan 2018

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Shakti Kumar - AI Researcher | Stackforce