Abhinav Singhal

Software Engineer

New Delhi, Delhi, India0 mo experience

Key Highlights

Expert in low latency trading solutions.
Ranked 26th globally in WorldQuant Alphathon.
Research on advanced machine learning techniques.

Stackforce AI infers this person is a Fintech expert with a focus on low latency trading and machine learning.

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Skills

Core Skills

Low Latency TradingMachine Learning

Other Skills

AlgorithmsC++Computer VisionDeep LearningEngineeringEnglishFew-shot LearningGANsLinux KernelMentoringNumPyPython (Programming Language)Quantitative ResearchUltra Low Latency

Experience

Quantbox research

2 roles

Core Engineer

Promoted

Jul 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Core Engineer

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

Worked on kernel bypass for low latency trading

Linux KernelLow Latency Trading

Indian institute of technology, delhi

Teaching Assistant

Jul 2023 – Jun 2024 · 11 mos · On-site

COL780: Computer Vision (Spring 2024)
COL351: Analysis and Design of Algorithms (Fall 2023)

Worldquant

Research Consultant

Jan 2023 – Mar 2023 · 2 mos · Remote

Secured 26th rank among 12,800 teams worldwide in WorldQuant Alphathon

Brown university school of engineering

Visiting Research Fellow

May 2022 – Jul 2022 · 2 mos · Providence, Rhode Island, United States · On-site

Explored adversarial-based & reconstruction-based unsupervised domain adaption approaches using GANs as well as few-shot learning to enhance model performance on small unlabeled target datasets of malignant cervical cells.

GANsFew-shot LearningMachine Learning