Kapil Sharma

Software Engineer

Washington, DC, United States12 yrs 8 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in deploying AI models for recommendation systems.
  • Strong background in quantitative finance and trading strategies.
  • Proficient in building real-time data pipelines for high-frequency trading.
Stackforce AI infers this person is a Fintech expert specializing in quantitative research and machine learning applications.

Contact

kapiliitdelhi@gmail.comLinkedIn

Skills

Core Skills

Machine LearningSoftware EngineeringQuantitative FinanceTradingQuantitative Research

Other Skills

AlgorithmsAnalyticsC#C++CSSData AnalysisDerivativesExotic DerivativesGreeksHTML5High Frequency TradingJavaJavaScriptLinear ModelsLinear Regression

About

Scaling AI for recommendation systems at Meta. See my blog: www.kapilsharma.dev

Experience

Meta

Software Engineer, Meta AI

Oct 2021 – Present · 4 yrs 5 mos · Washington DC-Baltimore Area

  • Deploying SOTA recsys/ranking models with Pytorch.
Pytorchrecsysranking modelsMachine LearningSoftware Engineering

Cardinal capital management, llc (chicago)

Quantitative Researcher

Jan 2019 – Sep 2021 · 2 yrs 8 mos · Greater Chicago Area

  • - Options market making for index options
Options market makingindex optionsQuantitative FinanceTrading

Dv trading llc

Quantitative Researcher

Jul 2013 – Jan 2019 · 5 yrs 6 mos · Greater Chicago Area

  • ML modeling for interest rate market micro-structure across several asset classes (interest rates futures, energy futures, crypto, etc)
  • Ultra low latency quantitative trading systems for market taker strategies (interest rates futures, options)
  • Real-time data pipelines to store and analyze high frequency data (interest rate futures, options)
ML modelingmarket micro-structurereal-time data pipelinesquantitative trading systemsMachine LearningQuantitative Research

Education

Columbia University

Master's — Mathematics

Indian Institute of Technology, Delhi

B.Tech — Engineering

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