Ishav Singla

AI Researcher

Delhi, India3 yrs 3 mos experience

Key Highlights

  • Expert in quantitative research and high-frequency trading strategies.
  • Demonstrated ability to optimize trading performance and risk management.
  • Strong academic background in Mathematics and Computer Science.
Stackforce AI infers this person is a Fintech expert with strong quantitative research capabilities.

Contact

LinkedIn

Skills

Core Skills

Quantitative Research

Other Skills

C++R

Experience

3 yrs 3 mos
Total Experience
8 mos
Average Tenure
1 yr
Current Experience

Graviton research capital llp

Quantitative Researcher

Jun 2025 – Present · 1 yr · Gurugram, Haryana, India · On-site

Quantitative ResearchRC++

Indian institute of technology, delhi

Teaching Assistant

Jan 2025 – Apr 2025 · 3 mos · New Delhi, Delhi, India · On-site

  • Teaching Assistant for course MTL101 - Linear Algebra and Differential Equations

Quadeye

Quantitative Researcher

May 2024 – Jul 2024 · 2 mos · Gurugram, Haryana, India · On-site

  • Worked in Equity Derivatives to recognize profitable opportunities and devised a high-frequency arbitrage strategy
  • Leveraged EMA and Linear Regression for trend detection, capping risk Pnl volatility at under 1.3% of net Pnl
  • Streamlined order execution under strict exchange constraints, preserving a Sharpe ratio of 7.8 throughout trades
  • Boosted profits by 3.2% using advanced roll-over techniques and strategic placement of passive and aggressive orders
Quantitative ResearchRC++

Tryst, iit delhi

Guest Lectures Coordinator

Nov 2023 – Mar 2024 · 4 mos · New Delhi, Delhi, India · On-site

Rendezvous

2 roles

Events Coordinator

Jul 2023 – Oct 2023 · 3 mos · India · On-site

Events Activity Head

Dec 2022 – Jun 2023 · 6 mos · India · On-site

University of pennsylvania

Machine Learning Researcher

May 2023 – Apr 2024 · 11 mos · Philadelphia, Pennsylvania, United States · Hybrid

  • Constructed DNNs using Python library DeepXDE that are used to approximate PDEs, like the Burgers Equation
  • Constructed a Deep operator network that approximates operators using the Universal Approximation theorem for Operators
  • Used the Adam optimizer with a learning rate of 0.001 for the Trunk Net to achieve a small Mean Square loss function
  • Optimized the Generation of branch inputs to train the NN from the Gaussian Random Field using Greedy and Distribution Approach

Azure- fine arts society of iit delhi

2 roles

Director

Mar 2023 – Mar 2024 · 1 yr · India · On-site

Representative

Apr 2022 – Mar 2023 · 11 mos · India · On-site

Board for student welfare (bsw), iit delhi

Academic Mentor

Nov 2022 – Apr 2023 · 5 mos · Delhi, India · On-site

Rankersprep learning pvt. ltd.

Mentor

Jan 2022 – Sep 2022 · 8 mos · New Delhi, Delhi, India · Remote

Education

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech — Mathematics and Computer Science

Nov 2021 – May 2025

Pragati School - India

High School Diploma — Engineering

Apr 2019 – Mar 2021

St. Joseph's Convent Sen Sec School - India

High School Diploma

Mar 2007 – Mar 2019

Stackforce found 100+ more professionals with Quantitative Research

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