Aditya Sinha — AI Researcher

I'm currently a Research Scientist at Netflix in the Search and Recommendation team and I recently graduated from the Department of Computer Science, University of Illinois at Urbana-Champaign, with a Master's of Science in Computer Science (thesis track) with a specialization in real-world Machine Learning. Prior to joining grad school I was a Research Engineer at Google Research India in the M2U2 Group (Mixed-Mode User Understanding) and the MLO Group (Machine Learning and Optimization). Here, I worked on problems related to Differential Privacy, developing Large Scale algorithms for Graph Representation Learning and Adaptive Deployment, and exploring the possibility of automated hyperparameter tuning. Before this, I spent an amazing year at Microsoft Research India as a Research Fellow, working on problems related to Efficient training of Graph Convolutional Networks and mitigation of Positional Click Bias in Search. I also did my undergraduate thesis at Microsoft Research, India on developing scalable algorithms for using social network graphs in recommendation systems. I graduated with a B.E. (Hons.) in Computer Science and a MSc. (Hons.) in Economics from BITS Pilani, Goa, India in 2020. Apart from spending my time doing fun research, I hold a keen interest in photography, a passion I got to pursue as part of the Department of Photography at BITS. For more information, you can check out my website and find all other coordinates here: https://adityaasinha28.github.io

Stackforce AI infers this person is a Machine Learning Researcher with a focus on scalable algorithms and recommendation systems.

Location: San Francisco, California, United States

Experience: 7 yrs 10 mos

Skills

Machine Learning
Research
Search And Recommendation Systems
Research Engineering
Graph Convolutional Networks
Graph Embeddings
Android Development
Backend Development

Career Highlights

Expert in Machine Learning and Graph Algorithms.
Research experience at top tech companies.
Strong academic background with dual degrees.

Work Experience

Netflix

Research Scientist (1 yr 10 mos)

Machine Learning Intern (3 mos)

University of Illinois Urbana-Champaign

Graduate Teaching Assistant (1 yr 9 mos)

Google

Research Engineer (1 yr 1 mo)

Microsoft

Research Fellow (10 mos)

Research Intern (1 yr 1 mo)

Tesco Bengaluru

SDE Intern (2 mos)

Indian Institute of Science (IISc)

Summer Research Intern (2 mos)

QA InfoTech - Your Software Testing Partner

Software Development Intern (2 mos)

The Department of Photography

Photography Head (1 yr 1 mo)

BITS Pilani K K Birla Goa Campus

Teaching Assistant for CS F111, Introduction to C Programming (4 mos)

Department of Sponsorship and Marketing, Council for Student Affairs, BITS-Pilani, Goa Campus(INDIA)

Associate Marketing Manager (1 yr)

Education

MS in Computer Science (Thesis Track) at University of Illinois Urbana-Champaign

Bachelor of Engineering - BE(Hons.) at Birla Institute of Technology and Science, Pilani

Master of Science - MSc(Hons.) at Birla Institute of Technology and Science, Pilani

at Sheiling House School Kanpur

Aditya Sinha

AI Researcher

San Francisco, California, United States7 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in Machine Learning and Graph Algorithms.
Research experience at top tech companies.
Strong academic background with dual degrees.

Stackforce AI infers this person is a Machine Learning Researcher with a focus on scalable algorithms and recommendation systems.

Contact

Skills

Core Skills

Machine LearningResearchSearch And Recommendation SystemsResearch EngineeringGraph Convolutional NetworksGraph EmbeddingsAndroid DevelopmentBackend Development

Other Skills

Differential PrivacyGraph Neural NetworksSelf Supervised LearningGraph ClusteringBERT ModelsNatural Language ProcessingHyperparameter TuningScalabilitySearch MetricsBias EstimationKotlinMVVMNode.jsMicrosoft WordMarket Research

About

Experience

7 yrs 10 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 10 mos

Current Experience

Netflix

2 roles

Research Scientist

Jun 2024 – Present · 1 yr 10 mos · San Francisco Bay Area

Research in LLMs for improving search and recommendations.

Machine LearningResearch

Machine Learning Intern

May 2023 – Aug 2023 · 3 mos · Los Gatos, California, United States

Machine Learning intern in the Search and Recommendation Systems team

Machine LearningSearch and Recommendation Systems

University of illinois urbana-champaign

Graduate Teaching Assistant

Aug 2022 – May 2024 · 1 yr 9 mos · Urbana-Champaign Area

Teaching Assistant for CS 124, 128, 225

Google

Research Engineer

Jun 2021 – Jul 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India

Research Engineer at the Google Research Lab, Bangalore, India
I worked on the research and engineering aspects of various problems related to machine learning:
1. DP-GNN - developed a node-level Differentially Private GNN learning algorithm. [PAIR^2Struct, ICLR '2022]
2. S$^3$GC - developed a scalable graph clustering method using Self Supervised Learning. [NeurIPS '22]
3. MRL - ideated and experimented with Matryoshka Representations in BERT Models. [NeurIPS '22]
4. AHPT - explored the development of a generic framework for Automatic Hyperparameter Tuning.

Machine LearningResearch Engineering

Microsoft

2 roles

Research Fellow

Aug 2020 – Jun 2021 · 10 mos · Bengaluru, Karnataka, India

Research Fellow in the Machine Learning and Optimisation (MLO) and Applied Science and Engineering (ASE) group at Microsoft Research India (MSRI), working on:
1. IGLU - developed Efficient and Scalable Graph Convolutional Networks with guarantees. [ICLR '22]
2. Estimating click bias in Microsoft Teams Search - improvement in unbiased search metrics.

Machine LearningGraph Convolutional Networks

Research Intern

Jul 2019 – Aug 2020 · 1 yr 1 mo · Bengaluru, Karnataka, India

Research Intern in the Machine Learning and Optimisation and Applied Sciences group at Microsoft Research India (MSRI).
Worked on developing scalable algorithms for learning large scale social network graph embeddings.

Machine LearningGraph Embeddings

Tesco bengaluru

SDE Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru Area, India

Worked on Development of an Android Application using Kotlin and MVVM framework.
Backend API's for the same were built using an Express server in Node.js

Android DevelopmentBackend Development

Indian institute of science (iisc)

Summer Research Intern

May 2018 – Jul 2018 · 2 mos · Bangalore

Guide: Prof. K.V.S. Hari, Statistical Signal Processing Lab, ECE Dept,
Indian Institute of Science(IISc), Bangalore
In association with Microsoft Research HAMS. Vehicle Detection and bounding boxes
from Bengaluru road footage using R-CNN and YOLO algorithms. Simulation of the 3-D
traffic in Unreal Engine 4 using Artifical Intelligence for agents.

Qa infotech - your software testing partner

Software Development Intern

May 2017 – Jul 2017 · 2 mos · Noida Area, India

Worked on the Development of a Chrome Extension for Data Analytics in Learning Management Systems.
Also worked on the mechanism for the collection, processing and Visualisation of Data.
It involved the use of JavaScript, Sensor API, Caliper Analytics and ElasticSearch

The department of photography

Photography Head

Apr 2017 – May 2018 · 1 yr 1 mo · Goa

I'm responsible for managing a team of 100+ photography and videography enthusiasts and ensuring photo and video coverages during Quark, the technical fest of BITS Pilani, K.K. Birla Goa campus.