Ishaan Singhal

AI Researcher

New Delhi, Delhi, India4 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expertise in Quantitative Research and Machine Learning.
  • Innovative solutions in Generative AI and Computer Vision.
  • Strong academic foundation with a CGPA of 9.45 from IIT Delhi.
Stackforce AI infers this person is a Quantitative Researcher with a strong focus on AI and Machine Learning in the tech industry.

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Skills

Core Skills

Quantitative ResearchMachine LearningArtificial Intelligence (ai)

Other Skills

Analytical SkillsC++CSSCompetitive ProgrammingComputer NetworkingComputer VisionDeep LearningFinanceGenerative Adversarial NetworksGoogle Cloud Platform (GCP)HTML5JavaJavaScriptKerasModel Compression

About

Currently a Senior Quantitative Researcher at WorldQuant, with a keen interest in math, finance, and solving complex problems, .As an undergraduate at IIT Delhi, I developed a solid foundation in machine learning and data structures. This foundation facilitated my work on a wide range of ML applications with professors and organizations, allowing me to gain diverse practical experience in AI on areas like Generative AI, Computer Vision, NLP, Graph ML. I thrive on tackling challenges and developing solutions that drive impactful results. Additionally ,I also keep an interest in exploring businesses that make a significant user impact. If you have user problems you're looking to solve or are interested in discussing potential business opportunities, I am always open to collaboration and eager to connect and learn from others in the field. Let's connect and explore how we can work together!

Experience

Worldquant

2 roles

Senior Quantitative Researcher

Promoted

Jul 2024Present · 1 yr 8 mos

Quantitative FinanceQuantitative ResearchMachine LearningPythonArtificial Intelligence (AI)

Quantitative Researcher

Jul 2023Jun 2024 · 11 mos

Quantitative FinanceQuantitative ResearchMachine LearningPythonArtificial Intelligence (AI)

Adobe

Research Intern

Jun 2022Aug 2022 · 2 mos

  • Model Compression for Generative Adversarial Networks ,Submitted US Patent
  • Developed mixed-precision QAT for GANs ,obtained compression of 6.586x with zero degradation in FID on StyleGAN2
  • Efficiently analyzed parameter sensitivity of to obtain optimal bit-width by using Hutchinson based method
  • Enhanced SOT performance by overcoming oscillations during Quantization-Aware Training via iterative weight freezing
Model CompressionGenerative Adversarial NetworksQuantization-Aware TrainingParameter Sensitivity AnalysisMachine LearningArtificial Intelligence (AI)

Indian institute of technology, delhi

Technical Secretary

Aug 2021Jul 2022 · 11 mos · New Delhi, Delhi, India

Board for student welfare (bsw), iit delhi

Academic Mentor

Mar 2021Aug 2021 · 5 mos · New Delhi, Delhi, India

Ai & ml club iit delhi

Representative

Feb 2021Jul 2022 · 1 yr 5 mos

Education

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech — Electrical and Electronics Engineering

Jan 2019Jan 2023

INSA Lyon - Institut National des Sciences Appliquées de Lyon

Bachelor's degree — Computer Science Engineering

Jan 2022Jun 2022

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