About Me

Outside of work, I channel my creativity and energy into a variety of hobbies. Whether I'm creating vibrant paintings, producing captivating digital art, mastering intricate classical dance routines, performing traditional tribal dance, or crafting aromatic candles, my free time is a testament to my love for the arts and hands-on projects. Leading the DIY club in college allowed me to innovate and inspire others. My roles as a school leader and NCC cadet have further refined my leadership and discipline. These experiences have shaped me, driving my ambition to leave a lasting impact.

Programming Languages:

Python JavaScript C++ R VBA

Web Development:

React RESTful APIs AG Grid Streamlit Dash

Data Science:

Statistical Modeling Machine Learning Deep Learning LLMs RAG AI Agents Causal Inference

Databases & Cloud:

SQL Neo4j q/kdb+ AWS MongoDB Microsoft Excel Bloomberg Terminal

Quantitative Finance:

Alpha Mining Financial Modeling Risk Management Fixed Income Analytics Time Series Forecasting

Resume

Work Experience
Software Developer Engineer - II
J.P Morgan Chase & Co.- Jan 2024 - Aug 2025

Led the development and post-launch ownership of Trade Activity Monitoring (TAM) as Epic Owner, collaborating with stakeholders to achieve a 50% latency reduction and significantly improve trading floor execution efficiency.

Pioneered and architected a comprehensive Mortgage Matrix modernization initiative driving 12% latency improvement supporting $5B+ annual trading volume.
Software Developer Engineer - I
J.P Morgan Chase & Co. - Aug 2021 - Jan 2024

Designed and implemented Trade Reporting and Compliance Engine (TRACE) in an agile environment collaborating with cross-functional teams to boost data processing efficiency by 30% and streamline regulatory reporting workflows.
Software Developer - Intern
J.P Morgan Chase & Co. - Jan 2021 - Jul 2021

Built a JIRA ticket management app that enabled bulk creation and updates, reducing ticket handling time by ~70% and improving cross-team collaboration at J.P. Morgan.
ACMS Intern
Amazon - May 2020 - Jun 2020

Designed wireframes and contributed to the full lifecycle of a responsive Appointment Scheduler website, focusing on user needs and goals.

Prepared the website for integration with Chime and implemented best practices to ensure a seamless user experience and robust functionality.
Data Analyst Intern
Octathorpe Web Consultant - Apr 2019 - Jul 2019

Procured and analyzed data from diverse primary and secondary sources to extract insights contributing to a 15% increase in user engagement.

Tracked Conversion, Retention, and Monetization metrics to provide a comprehensive analysis of business performance, supporting a 6% boost in revenue.
Data Engineering Intern
Collpoll - Apr 2018 - May 2018

Extracted and analyzed large datasets; contributed to product strategies that improved feature adoption by 10% and increased active users by 18%.

Education
Master of Science in Financial Engineering
New York University, Tandon School of Engineering - Brooklyn, NY - Expected 05/27

GPA: 3.3/4
Bachelors in Computer Science
Vellore Institute of Technology, AP - Aug 2017 - Jul 2021

Completed 156 credits with an overall CGPA of 8.8 in my bachelor's degree
Senior Secondary Education
Khalikote University - Aug 2015 - Jun 2017

Recognized as a meritorious student by the Government of Odisha and received a laptop award under the Biju Yuva Sashaktikaran Yojana for achieving a 75% score in the CHSE Science stream.
High School Education
D. A. V Public School - Aug 2003 - Jun 2015

Completed my high school education under the CBSE board, achieving a commendable CGPA of 9.6

Research & Open Source Contribution

Research & Open Source

In Progress

DREAM-α: Deflated, Robust, Economic Alpha mining under MRM constraints

Engineering a reinforcement learning alpha-mining framework deploying novel DeflatedUCB algorithm mathematically penalizing multiple-testing bias, executing combinatorial purged cross-validation to isolate regime-robust signals and optimize SR 26-2 compliant portfolios

In Progress

GSHA — A Multi-Modal Graph Neural Network for Commodity Futures Prediction

Building a novel multi-modal architecture (Graph-Spectral Hyperbolic Attention) leveraging graph neural networks, spectral convolution, and hyperbolic attention to model hierarchical relationships in financial news for commodity futures prediction.

Under review · Journal of Computational Finance

Implied Prepayment Surfaces via Physics-Informed Neural Networks in Agency MBS Markets

Built a PINN-based inverse modeling framework to estimate market-implied CPR from TBA prices under the Hull–White PDE, delivering +15% incremental return and improved risk-adjusted performance in backtests.

Open Source · PyPI

qutePandas

Published a high-performance Pandas-compatible execution layer backed by kdb+/q, achieving order-of-magnitude speedups (10×–100×+) on large-scale analytical workloads while preserving Python-first research ergonomics.

Published · International Journal of Research and Analytical Reviews

Knowledge Graphs from Investopedia

Financial knowledge graph by extracting, processing, and visualizing financial terms and definitions from Investopedia, integrating it into Obsidian for interactive exploration.

Projects

May 2026

VORTEX

Engineered a multi-agent AI risk analytics platform using LangGraph, LangChain, and LlamaIndex to orchestrate regime-aware VaR modeling, stress testing, and institutional market risk interpretation workflows.

Mar 2026

CryptoHedgeLab

Engineered a high-performance crypto trading and backtesting system in C++ with kdb+/q, achieving microsecond-level execution, real-time hedging, and tick-level data storage for deterministic strategy evaluation.

Jan 2026

Cross-Currency Dynamics in Cryptocurrencies under Stablecoin Regulation

Analyzed cross-currency basis and liquidity fragmentation in crypto markets using high-frequency data across exchanges, evaluating stablecoin-driven pricing inefficiencies and regulatory impact (GENIUS Act).

Oct 2025

Monte Carlo Pricing of European Barrier Options

Developed a Monte Carlo engine under risk-neutral GBM to price path-dependent barrier options (Down-and-Out, Knock-In/Out), incorporating barrier monitoring and sensitivity analysis.

Aug 2025

Advanced NASDAQ Market Prediction System with Deep Learning Optimization

Engineered a sophisticated LSTM neural network system for high-frequency NASDAQ market prediction, achieving 26.7% improvement in forecasting accuracy through advanced hyperparameter optimization.

May 2025

Portfolio Risk Stress Testing Dashboard

A professional-grade quantitative risk analytics terminal that empowers traders and investors to measure portfolio exposure, simulate market stress events, and quantify downside risk using institutional-level metrics and Monte Carlo scenario analysis.

Mar 2025

Minted Wealth

Developed a comprehensive financial intelligence dashboard integrating live market data, portfolio performance analytics, and net worth insights for smarter investment decisions.

Achievements

Numerix Women in Finance Scholarship

2025 Recipient

Awarded the prestigious Numerix Women in Finance Scholarship

Cloud Generator - CG0R

Engineering Clinics Expo

1st Prize

Designed an autonomous floating buoy system for oil spill cleanup and cloud formation acceleration

Humanoid Robot

Engineering Clinics Expo

1st Prize

Created a biped robot powered by Amazon's Alexa with custom skills using Raspberry Pi and Arduino

Blogs

Feb 24, 2026

ISHAPATRO

About Me

About Me

Programming Languages:

Web Development:

Data Science:

Databases & Cloud:

Quantitative Finance:

Resume

Resume

Work Experience

Software Developer Engineer - II

Software Developer Engineer - I

Software Developer - Intern

ACMS Intern

Data Analyst Intern

Data Engineering Intern

Education

Master of Science in Financial Engineering

Bachelors in Computer Science

Senior Secondary Education

High School Education

Research & Open Source Contribution

Research & Open Source

DREAM-α: Deflated, Robust, Economic Alpha mining under MRM constraints

GSHA — A Multi-Modal Graph Neural Network for Commodity Futures Prediction

Implied Prepayment Surfaces via Physics-Informed Neural Networks in Agency MBS Markets

qutePandas

Knowledge Graphs from Investopedia

Projects

Projects

VORTEX

CryptoHedgeLab

Cross-Currency Dynamics in Cryptocurrencies under Stablecoin Regulation

Monte Carlo Pricing of European Barrier Options

Advanced NASDAQ Market Prediction System with Deep Learning Optimization

Portfolio Risk Stress Testing Dashboard

Minted Wealth

Achievements

Achievements

Numerix Women in Finance Scholarship

Cloud Generator - CG0R

Humanoid Robot

Blogs

Blogs

Geometry of Intelligence

A Better Way to Resample Macroeconomic Time Series

The Ultimate Guide to Building Animated Globe Visualizations for Your Data Projects

Breaking Down the 32nd Bond Price Format

Unlocking the Power of Obsidian Vaults with Python

Certifications

Certifications

Bloomberg Market Concepts

AWS Practitioner

Machine Learning

Mortgage Backed Securities

Financial Engineering and Risk Management

Contact

Contact

Address

Contact Number

Email Address

Github

LinkedIn

ISHA
PATRO