V

Vedant Kumud

AI Researcher

Pleasanton, California, United States2 yrs 7 mos experience

Key Highlights

  • Strong academic background in Computer Science with a 3.98 GPA.
  • Experience in quantitative research and algorithm development.
  • Internships at leading trading firms focusing on high-frequency trading.
Stackforce AI infers this person is a Fintech-focused quantitative researcher with strong algorithmic and machine learning skills.

Contact

Skills

Other Skills

AlgorithmsComputer ScienceCritical ThinkingData AnalysisData StructuresGoogle DocsJavaLaTeXMachine LearningMathematicsMicrosoft ExcelOverleafPublic SpeakingTime Management

About

Studying CS at Berkeley. Interested in machine learning (reinforcement learning, nlp), algorithms, low-latency optimization, and high-frequency trading.

Experience

Citadel

Quantitative Researcher

Sep 2025Present · 7 mos

  • Global Quantitative Strategies, Equities Alpha (Mid-Freq)

Hudson river trading

Algo Dev Intern

May 2024Aug 2024 · 3 mos · New York, United States

  • U.S. Equities MF & HFT

Jump trading llc

Quant Research Intern

Jun 2023Aug 2023 · 2 mos · Chicago, Illinois, United States · On-site

  • U.S. Equities Execution & Crypto MF

Voyager consulting

Consultant

Jan 2023Nov 2023 · 10 mos · United States

Uc berkeley electrical engineering & computer sciences (eecs)

Course Staff

Jun 2022Sep 2025 · 3 yrs 3 mos · Berkeley, California, United States

  • Su22: CS 70
  • Fa22, Sp23: EECS 126
  • Fa23: CS 182
  • Sp24: CS 170
  • Fa24: CS 189

The voleon group

Software Engineer Intern

May 2022Aug 2022 · 3 mos · Berkeley, California, United States

  • Bonds

Computer science mentors

Computer Science Mentor

Sep 2021May 2022 · 8 mos

  • CS61A and CS70 tutoring to small groups of students

Eduavenues

Private Tutor

May 2021Aug 2021 · 3 mos

  • USACO, AMC, and AIME tutoring

Education

University of California, Berkeley

Bachelor of Arts - BA — Computer Science

Jun 2021May 2025

Amador Valley High School

Jan 2017Jan 2021

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