building @ morgan stanley

hey, i'm shreyash (yash). builder. solver. thinker.

I build things at the intersection of systems, data, and markets. Columbia CS grad, fueled by long walks, good problems, and the occasional Celsius.

see my work get in touch
01

about me

I'm Shreyash (Yash), a software engineer at Morgan Stanley building systems at the intersection of LLMs, backend engineering, and financial data. Columbia CS '25, NYC-based, and perpetually curious about what happens when you put quantitative thinking inside production software.

My day-to-day involves shipping production-grade features: AI-driven CRM tooling, prompt engineering pipelines, and backend services that touch real markets. Before Morgan Stanley, quant research at CoinLion and data analytics at HSBC taught me to care deeply about what numbers actually mean, and how to make the systems around them fast and reliable.

Outside the terminal, I run multicultural community programs and spent years as a Resident Adviser supporting 600+ undergrads. I believe the best technology includes everyone. Long walks reset my brain. Celsius keeps it running.

AI / LLMs Quant research Backend systems Prompt engineering Python Go TypeScript Community
New York City based
Columbia '25 computer science
Morgan Stanley SWE Analyst
open to interesting problems
02

work experience

Aug 2025 — Present New York, NY

Software Engineer Analyst @ Morgan Stanley

Building AI/LLM-powered CRM tooling for research analysts and sales teams in Institutional Securities. Shipped conversational search, client resolution, ticker lookup, and interaction-capture features. Delivered prompt engineering and Promptfoo eval work; helped productionize an AI interaction-capture pipeline through CI/CD setup, MongoDB migrations via Mongock, and MQ-based processing with WebstaX.

Java Kotlin Angular MongoDB LLM / Promptfoo Jenkins MQ
Jun 2024 — Aug 2024 Hybrid

Crypto Quantitative Analyst Intern @ CoinLion

Conducted quantitative research across 50+ cryptocurrency assets — developed and refined systematic trading strategies using technical indicators, statistical models, and backtesting pipelines. Owned the full model-development lifecycle: hypothesis generation, data processing, optimization, implementation, and live vs. backtest performance monitoring.

Python Backtesting Statistical Modeling Signal Research
Jan 2023 — Jun 2023 Hong Kong

Data Analyst Intern @ HSBC

Analyzed 10,000+ customer and branch data points to improve commercial-banking onboarding insights. Built automated reporting dashboards in Python, SAS, and VBA. Presented CRM and Wholesale Banking findings to senior stakeholders.

PythonSASVBAData Viz
Jul 2022 — Dec 2022 Hong Kong

Fixed-Odds Engineering Intern @ The Hong Kong Jockey Club

Worked on Cash-Out Systems Integration to improve UX and increase revenue. Participated in the full agile sprint cycle in a fast-paced Scrum environment.

Agile / ScrumSystems IntegrationJava
03

education

BA

Columbia University

New York, NY

B.A. in Computer Science

Upsilon Pi Epsilon · GS Honors Society

May 2025

Visiting

Stanford University

California

Visiting Undergraduate — Mathematics & Entrepreneurship

Summer 2023

BS

City University of Hong Kong

Kowloon, HK

Bachelor's in Computer Science — Joint Program with Columbia

Aug 2020 — May 2023

04

research & projects

Market Navigator

2024

Built a real-time equity analysis platform using Flask, Redis, and market-data workflows to integrate technical and fundamental indicators and surface actionable market views through a full-stack product workflow.

FlaskRedisPythonFull-Stack

Effect of News Headlines on Tech Stock Prices

2024

Applied FinBERT, VADER, panel regression, and ANOVA to study how sentiment and topic categories (ESG, M&A, technological advances) affected tech-stock volatility across stable and unstable market regimes.

FinBERTNLPPanel RegressionPython

Portfolio Optimization & Market Index Tracking

2022 — 23

Built MATLAB models for Markowitz optimization, Sharpe/Sortino analysis, and asset-allocation studies across market indices to maximize expected return under risk constraints.

MATLABMarkowitz OptRisk Modeling
05

leadership & service

Culture Committee & S&D Hackathon Core Team

Morgan Stanley

Co-organizing firm-wide cultural events (Winter Party, Diwali, Chinese New Year, Ramadan) and supported a global internal hackathon spanning the US, UK, and India.

Oct 2025 — Present

Python Instructor — School Volunteer

Bronx High School

Teaching Python programming to high school students in the Bronx — building foundational coding skills and making CS accessible to underrepresented communities.

Apr 2025 — Present

Resident Advisor

GS University Life — Columbia University

Supported a residential community of ~600 undergraduates through academic programming, advising, and operational management in a high-responsibility campus role.

Jul 2024 — May 2025

Manager

AIESEC — CityU HK

Ran international student exchange programs and organized cultural engagement events across a globally diverse team.

Sep 2021 — May 2022
06

skills & awards

languages

Java Python Kotlin SQL MATLAB

technologies & tools

MongoDB MySQL Flask Redis Angular REST APIs Jenkins Promptfoo Mongock WebstaX MQ

focus areas

AI / LLM Applications Backend Engineering Quantitative Research Data Pipelines Search & Retrieval Statistical Modeling NLP Portfolio Optimization

awards & recognition

  • 🏆 GS Spirit Award — Columbia University
  • 🎓 Senior Marshal — Columbia University Class of 2025
  • 🌍 Multicultural Leader Award — Columbia University
  • 🥇 Citibank TTS APAC Case Competition 2022 — APAC Regional Finalist
  • 🥇 CityU Hack 2022 — Finalist
  • 💻 HackerRank: Algorithms (Top 2%) · Python (Top 7%) · ProjectEuler+ (Top 3%)

scholarships

  • 📜 Anne Marie Gault Scholarship
  • 📜 Dr & Mrs Yeung Kin Man Scholarship
  • 📜 Chan Wing Fui Scholarship
  • 📜 HKSAR Government Scholarship
  • 📜 CityU International Students Scholarship

certifications

08

let's talk

Got something cool to build?

Always up for interesting problems — software engineering, quant, or anything at the intersection. Fastest way to reach me is email.

email sk5109@columbia.edu linkedin in/shreyash-kawle ↗ github @SSK2822 ↗