Siddharth Chandak

AI Researcher

Stanford, California, United States0 mo experience

Key Highlights

  • Ph.D. candidate at Stanford University with a focus on multi-agent systems.
  • Winner of the President of India Gold Medal for academic excellence.
  • Experience in developing machine learning models for fraud detection.
Stackforce AI infers this person is a Machine Learning and Data Analysis expert in the Fintech and Finance sectors.

Contact

LinkedIn

Skills

Core Skills

Reinforcement LearningStochastic OptimizationMachine LearningApplied ProbabilityStatisticsStatistical ModelingMedium Access ControlHmm-based EncodingData Analysis

Other Skills

Credit Risk AnalysisFraud DetectionIoTPython (Programming Language)Social Network Analysis

Experience

Uber

PhD Machine Learning Engineer Intern

Jun 2025 – Sep 2025 · 3 mos · Sunnyvale, California, United States

  • Developed machine learning models for fraud detection in the Risk and Trusted Identity team.

Morgan stanley

Quantitative Finance Summer Associate

Jun 2024 – Aug 2024 · 2 mos · Manhattan, New York, United States · On-site

  • Developed a statistical factor model for the Credit Risk Book desk in Institutional Equities Division.
Python (Programming Language)Applied ProbabilityStatistics

Stanford university

Ph.D. Candidate

Sep 2021 – Present · 4 yrs 6 mos · Stanford, California, United States

Python (Programming Language)Reinforcement LearningApplied ProbabilityStochastic OptimizationStatistics

Aalborg university

2 roles

Summer Intern

May 2021 – Jul 2021 · 2 mos · Aalborg, North Denmark Region, Denmark · On-site

  • Learning to Speak on Behalf of a Group: Medium Access Control for Sending a Shared Message - supervised by Prof. Petar Popovski.
Python (Programming Language)

Summer Intern

Apr 2020 – Aug 2020 · 4 mos · Aalborg, North Jutland, Denmark

  • HMM-based encoding for time correlated IoT sources - supervised by Prof. Petar Popovski
Python (Programming Language)

Imperial college london

Summer Intern

May 2019 – Jul 2019 · 2 mos · London, England, United Kingdom

  • Social network inference from survey data - supervised by Prof. Nick Jones
Python (Programming Language)Statistics

Education

Stanford University

Doctor of Philosophy - PhD — Electrical Engineering

Sep 2021 – Jul 2026

Stanford University

Master of Science - MS — Electrical Engineering

Sep 2021 – Jun 2023

Indian Institute of Technology, Bombay

Bachelor of Technology - BTech — Electrical Engineering

Jan 2017 – Jan 2021

Stackforce found 100+ more professionals with Reinforcement Learning & Stochastic Optimization

Explore similar profiles based on matching skills and experience

Chenbei Lu

Chenbei Lu

Eric & Wendy Schmidt AI in Science Postdoctoral Fellow

at Cornell University

Ithaca, United States7 mos exp
Data ScienceTransportation Optimization
Aditya Gupta

Aditya Gupta

Research Assistant

at New York University

New York City, United States4 yrs 1 mo exp
Machine LearningMathematical Optimization
Samiran Roy

Samiran Roy

Data Scientist

at CRED

Bengaluru, India9 yrs 2 mos exp
Image Processing
Haozhe Jiang

Haozhe Jiang

Investment Analyst Intern

at ZhenFund 真格基金

El Cerrito, United States0 mo exp
KX

Kevin Xue

Market Maker Trader

at Essence Securities Co., Ltd

Shanghai, China0 mo exp
Market MakingTrade ExecutionStatistical Research
A. A. Wasae

A. A. Wasae

President

at ICSQUARE SNIST

Singapore, Singapore9 mos exp
Jahnvi Patel

Jahnvi Patel

Software Engineer II

at Microsoft

Redmond, United States5 yrs 9 mos exp
Data AnalysisDomain Name System (DNS)
Yash Gadhia

Yash Gadhia

Quantitative Researcher

at Graviton Research Capital LLP

Gurugram, India3 yrs 3 mos exp