Sahil Manchanda

Product Manager

Delhi, India9 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in Combinatorial and Graph Optimization.
Published research in ACL on recommendation systems.
Developed innovative ML solutions for transportation.

Stackforce AI infers this person is a Data Scientist specializing in Machine Learning and Optimization for Transportation and Software Security.

Contact

Skills

Core Skills

Fraud DetectionGraph Neural NetworkRecommender SystemsMachine LearningGraph TheoryCombinatorial OptimizationNatural Language Processing (nlp)Data Science

Other Skills

AlgorithmsApplied Machine LearningApplied ResearchData AnalyticsData MiningDeep LearningDistillationEnsembleExperimental DesignGraphsHardware DesignLarge Language Models (LLM)Machine Learning AlgorithmsMeta-learningNeural Networks

About

https://www.cse.iitd.ac.in/~sahilm/ Working as a Manager Data Scientist at Mastercard AI Garage. Areas of interest: Combinatorial Optimization, Graph Optimization, Generative Modeling, LLM, Fraud detection, Recommendation, Bias in ML. Hold PhD in the area of Machine learning for Graph Optimization from IIT Delhi.

Experience

Mastercard ai garage

Manager Data Scientist

May 2025 – Present · 10 mos · India

Fraud DetectionGraph Neural NetworkPyTorchLarge Language Models (LLM)

Pocket fm

Research Scientist

Apr 2024 – May 2025 · 1 yr 1 mo · India

Worked as a Research Scientist in Data Science team. Focused on problems related to recommendation systems, content based recommendation, and language model bias.
Published research in ACL.

Recommender SystemsGraphsMachine learningData SciencePyTorch

Qualcomm

Machine Learning Intern

Jun 2023 – Oct 2023 · 4 mos · Amsterdam, North Holland, Netherlands

Machine Learning and Combinatorial Optimization

Graph TheoryHardware DesignNeural NetworksMachine LearningCombinatorial OptimizationAlgorithms+2

The university of tokyo

Visiting Researcher

Dec 2022 – Dec 2022 · 0 mo · Tokyo, Japan

Natural Language Processing (NLP)Experimental DesignGraph TheoryMachine Learning AlgorithmsNeural NetworksData Analytics+1

Naver labs europe

Research Intern ( Deep RL )

Sep 2020 – Mar 2021 · 6 mos · France

Deep Reinforcement Learning for Combinatorial optimization.

Meta-learningMachine Learning AlgorithmsNeural NetworksMachine LearningCombinatorial OptimizationResearch and Development (R&D)+3

Indian institute of technology, delhi

PhD Scholar

Jan 2019 – Jan 2025 · 6 yrs · New Delhi Area, India

Computer Science and Engineering, Machine Learning on Graphs, Combinatorial Optimization

Natural Language Processing (NLP)Graph TheoryDistillationMeta-learningMachine Learning AlgorithmsNeural Networks+6

Conduent ( erstwhile xerox research)

Research Engineer

Jul 2017 – Jan 2019 · 1 yr 6 mos · Bangalore

Part of ML and Stats team.
Worked on 2 projects related to transporation.
1. Vehicle Health monitoring
Developed platform using Machine learning for improving efficiency of fleet companies in terms of cost optimization, fewer reduction in failures etc.
2. Mobility Analytics Platform.
Developed Distributed system based Network Simulator for finding effect of changing schedule of bus agency on parameters such as vehicle load, passenger wait time etc.
Developed descriptive platform for visualizing metrics such as boarding and alighting of passengers, waiting time on platform etc.
Patent Granted: https://patents.google.com/patent/US11335137B2/en

Graph TheoryMachine LearningData MiningAlgorithmsData Science

Adobe

Software Engineer

Jun 2014 – Jul 2015 · 1 yr 1 mo · Noida Area, India

Worked in the following two projects :
1. Adobe Reader Sandboxing
Creation of scripts to find security flaws in Adobe Reader broker sandbox model( container technology to prevent Malware).
2.Adobe Reader Comments List
Creation of scripts to automate test suite of comments list in Reader/Acrobat.