Komal Untwal

Hi, I'm Komal.

AVP, Software Engineer at Barclays Investment Bank, based in the New York area. I build low-latency Java systems for fixed income electronic trading at work, and Python research and analytics tools on my own time.

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Komal Untwal

The short version

I started in Pune with a Bachelor of Engineering in Computer Science and a Java internship, then spent two and a half years at Atos Syntel as a quality assurance engineer, building automated test suites that removed 80% of manual checks.

In 2021 I started a Master's in Computer Science at NJIT and finished with a 3.89 GPA. Along the way I worked as a graduate research assistant on NLP research that became a peer-reviewed paper, earned a Cornell Tech certificate in Machine Learning Foundations, and built a fuzzy-matching search API as a backend intern at Octane.

Since 2022 I've been at Barclays Investment Bank, building the systems behind fixed income electronic trading: a Java RFQ engine with sub-millisecond per-message latency, live diagnostics that find issues in under a minute, and a CI/CD pipeline that made deployments 5× faster. I was promoted to AVP in March 2026.

Alongside that, I build Python tools for backtesting, market microstructure and fixed income analytics, and I explore how LLMs can help with research.

Quick facts

Based in
New York area
Experience
8+ years
Focus
Low-latency Java, distributed systems, quantitative analytics
Languages
Java, Python, C++, SQL, R

Experience

  1. Oct 2022 to now

    AVP, Software Engineer, Fixed Income Trading Technology

    Barclays Investment Bank, New York area

    • Promoted from Software Developer to AVP in March 2026
    • Built and maintain the Java RFQ processing engine for credit and muni instruments, with sub-millisecond per-message latency
    • Built low-latency FIX connectivity to venues such as Bloomberg, MarketAxess and Tradeweb for RFQ, quoting and market data
    • Work directly with traders to turn execution problems into system changes, from queue priority redesigns to FIX session tuning
    • Built live order-flow diagnostics that enable sub-minute issue diagnosis
    • Rebuilt the CI/CD pipeline for 5× faster deployments and about 40% less QA effort
    • Led the end-to-end build of RFQGen, 3rd place in its panel at the Barclays GenAI Hackathon
  2. Jun to Aug 2022

    Software Engineer Intern

    Octane, New York area

    • Built a Python and Django REST Framework API with fuzzy-matching search, so queries find the right item even when the name isn't exact
  3. Sep 2021 to May 2022

    Graduate Research Assistant

    New Jersey Institute of Technology

    • NLP research on large-scale datasets, co-authored a peer-reviewed paper published in INQUIRY (2024)
    • Built models and prototypes using machine learning
    • Started as Academic Operations Assistant, working on workflow automation, data collection and visualization
  4. Jun 2018 to Nov 2020

    Associate Consultant, Quality Assurance

    Atos Syntel, Pune

    • Built and maintained automated test suites for web applications, removing 80% of manual checks
    • Prepared test plans, prioritized testing and ran regression testing
  5. Aug 2017 to Jan 2018

    Java Application Developer Intern

    Creazione Software, Pune

    • Hands-on work with core Java, JSP, Servlets, JDBC and Spring

Education

MS Computer Science, 2021 to 2022, GPA 3.89
New Jersey Institute of Technology
Certificate in Machine Learning Foundations, 2022
Cornell Tech, Break Through Tech AI
BE Computer Science, 2014 to 2018
Savitribai Phule Pune University

Certifications and events

Oracle Certified Associate, Java SE 8 Programmer
Oracle, exam 1Z0-808
Peer-reviewed publication
INQUIRY journal, 2024
Barclays GenAI Hackathon
3rd place in panel, team TradeSmith
Alumna Spotlight
NJIT Ying Wu College of Computing
Crash Course on Python
Google, 2021
RESTful Web API with Spring
Atos Syntel, 2020

Let's talk.

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