Hemang Shankar · Software Engineer Portfolio

Experience

Software Engineering Intern, Gmail Security & On-Device ML · Google

May 2026 – Aug 2026 · Sunnyvale, CA

Engineered Gmail's first integration of On-Device Machine Learning (ODML) into Client-Side Encryption (CSE), integrating Gemini Nano with encrypted workflows to enable generative AI capabilities while keeping sensitive content on-device.
Architected origin-isolated, sandboxed iframe infrastructure for client-side S/MIME decryption and local ML inference; developed a recursive "Summary of Summaries" algorithm for threads exceeding model context limits; and implemented cross-frame Protocol Buffer messaging with zero-copy transferable ArrayBuffers to reduce serialization and memory-copying overhead.
Delivered 4,500+ lines of production-quality UI and Protocol Buffer code across 15+ reviewed changelists, supporting rich Markdown rendering, encrypted and plaintext threads, graceful error recovery, feature-flagged rollout, and 100% unit and integration test coverage for owned components.

Quantitative Fixed Income Research Analyst · Stevens Student Managed Investment Fund

Sep 2024 – Dec 2025 · Hoboken, NJ

Implemented Ho-Lee and Black-Derman-Toy interest rate models in Python to simulate yield curves and price fixed-income instruments including bonds and ETFs, optimizing allocations across a $1.2M+ student-managed portfolio.
Engineered a duration and convexity-based risk analytics pipeline in Python to stress test portfolio sensitivity under parallel rate shifts of ±100/200bps and steepening scenarios, reducing volatility by 20%.
Improved portfolio Sharpe ratio by 15% and enhanced diversification across 100+ securities through systematic strategy development; presented model outputs and allocation recommendations to fund investment committee.

UI Developer Intern · Aerial View LLC

Jun 2025 – Aug 2025 · New York, NY

Built production React components in JavaScript/TypeScript for a fintech trade surveillance platform processing 1M+ trade records/day, improving UI responsiveness and enabling faster real-time alert review.
Delivered 6+ core features (Primary Display, Trade Viewer, Sandbox) as part of a 3-engineer team, reducing compliance investigation time by 30% and streamlining analyst workflows.
Integrated RESTful APIs to surface real-time trade data and alerts within the surveillance dashboard, improving data visibility and enabling analysts to action compliance events faster across high-volume trading sessions.

Laboratory Assistant · Hanlon Financial Center

Mar 2025 – Present · Hoboken, NJ

Engineered Python pipelines using DataScope Select (LSEG) and Bloomberg API to extract and process institutional tick-level market data (Time & Sales, TAQ, Intraday Summaries) for faculty research, reducing query latency by 35%.
Optimized a large-scale 260GB+ financial dataset extraction script using Polars Lazy API, significantly improving processing speed and enabling efficient filtering across 50+ symbols and 10+ dates per symbol.
Developed an LLM-based agent using function calling and agentic frameworks (smolagents/Pydantic AI) to automate the email-to-data-download workflow for Kaiko crypto market data requests.

Software Engineer — Code For Good Hackathon (GitHub) · JPMorgan Chase

Oct 2025 · Plano, TX

Built a full-stack mobile application for a nonprofit in 24 hours using React Native (Expo), Firebase, and AWS, enabling real-time engagement between alumni athletes and teams across a scalable cloud architecture.
Architected and delivered real-time features including a Smart Calendar, social feed, push notification system, and REST APIs; presented system design and technical decisions directly to JPMorgan Chase engineers.

Undergraduate Research Assistant, Professor Chunlei Qu · Stevens Institute of Technology

Dec 2023 – Dec 2024 · Hoboken, NJ

Implemented and optimized Hopfield neural networks in Python, improving noisy visual pattern recall accuracy by 25% through systematic parameter tuning, energy function analysis, and convergence evaluation.
Designed and executed controlled experiments on one-shot learning and associative memory behavior, analyzing convergence dynamics and network capacity limits of memory-based neural architectures.

Undergraduate Research Assistant, Professor Aron Lindberg · Stevens Institute of Technology

Feb 2024 – Jun 2024 · Hoboken, NJ

Fine-tuned and evaluated transformer-based models (BERT, RoBERTa) in Python to assess creativity and persuasiveness in AI-generated text, implementing end-to-end preprocessing pipelines and comparative model benchmarking.
Applied statistical significance testing and quantitative NLP evaluation metrics to analyze human–AI collaborative writing patterns, identifying measurable correlations between model outputs and human perception scores.

Calculus Tutor, Drop-In Tutoring Center · Stevens Institute of Technology

Sep 2025 – Dec 2025 · Hoboken, NJ

Tutored 100+ students across 5 calculus courses (MA 120–126), covering derivatives, integrals, and multivariable concepts.
Strengthened student performance by breaking down complex problems and teaching step-by-step problem-solving strategies.

Selected Projects

DriveCar.org – DMV Practice Test Platform

Built and deployed a production PHP platform with MVC architecture, dynamic routing, and environment-based configuration serving users across all 50 states with multilingual support (EN/ES/FR). Integrated a custom AWS API for dynamic question delivery, with a full practice engine (timers, scoring, validation) and an internal admin tool for content management.

PHP MySQL JavaScript Bootstrap AWS

Live Site

Advanced Portfolio Optimization & Simulation Toolkit

Implemented Modern Portfolio Theory to construct the Efficient Frontier via mean-variance optimization, identifying maximum-Sharpe and minimum-volatility portfolios. Built Monte Carlo simulations across 10,000+ weight combinations to model return distributions and compute VaR, CVaR, volatility, and Sharpe ratio, with automated rebalancing and rolling-window backtesting.

Python NumPy pandas PyPortfolioOpt

GitHub Profile

Algorithmic Trading Strategy & Performance Visualization

Designed and backtested a quantitative trading strategy with $100,000 simulated capital, optimizing entry/exit signals to maximize risk-adjusted returns against a buy-and-hold benchmark. Built performance visualizations tracking P&L, drawdown, trade markers, and Sharpe ratio across multiple market regimes.

Python yfinance pandas NumPy

GitHub Profile

eSign.org.in – Digital Signature Sales

Designed and implemented a clean conversion-focused funnel with pricing, brand selection, and CTA. Optimized for speed and clarity.

HTML CSS Bootstrap PHP

Live Site

DGFT / Individual Purchase Flow

Form UX with clear defaults and validation. Reduced friction by minimizing required inputs and emphasizing primary action.

Form Design A/B Conversion

UKDriving.uk – One‑pager Education Site

Informational site for UK teens on getting a licence. High-contrast hero, clear CTA, and digestible step-by-step modules.

Bootstrap SEO JS

Live Site

PANCardExpress.com – Application UX

Led UX refresh: simplified nav, consistent form patterns, and clear help options. Optimized accessibility and responsiveness.

PHP Bootstrap Accessibility

Live Site

Customer Care Flow

Designed contact pathways with SLA expectations and regional numbers. Focus on trust, clarity, and quick actions.

Skills

Languages

Python, Java, C/C++, JavaScript, TypeScript, OCaml, SQL (PostgreSQL, MySQL), PHP, Go, Swift, HTML/CSS, Bash

Frameworks / Libraries

React, React Native (Expo), Next.js, Node.js, Express.js, Flask, FastAPI, TensorFlow, PyTorch, Keras, NumPy, Pandas, Polars, Scikit-learn, PyPortfolioOpt, MongoDB, Redis, GraphQL, OpenCV, Android SDK

Tools / Platforms

Git, Docker, Linux, AWS, Google Cloud Platform, Terraform, Kubernetes, Docker Compose, Bloomberg Terminal, DataScope Select (LSEG), Cloudflare, VS Code, Postman, Jupyter Notebook, Protocol Buffers

Quantitative

Fixed Income Modeling, Interest Rate Models (Ho-Lee, BDT), Portfolio Optimization, Monte Carlo Simulation, Risk Analytics (VaR, CVaR), Algorithmic Trading, Financial Data Engineering, Backtesting, Yield Curve Analysis

Concepts

OOP, REST APIs, Distributed Systems, Microservices, Concurrency & Multithreading, Systems Design, CI/CD, Machine Learning, Scalability & Load Balancing, Auth, API Design, On-Device ML, Client-Side Encryption, Unit & Integration Testing

Certifications

AI & ML Engineering Specialization

Microsoft · 5 courses · Apr 2026

AWS Fundamentals Specialization

Amazon Web Services · 3 courses

View credential

Data Analytics Specialization

Google · 8 courses

View credential

Discrete Mathematics for CS

UC San Diego · 5-course Specialization

View credential

Programming with JavaScript

Meta · Apr 2026

Introduction to HTML, CSS, & JavaScript

IBM · Feb 2026

Financial Markets (with Honors)

Yale University

View credential

Bloomberg Market Concepts (BMC)

Bloomberg for Education

View credential

Software Engineering Job Simulation

J.P. Morgan · Forage

View credential

Leadership & Volunteering

EMS Volunteer

Parsippany Rockaway Neck Volunteer First Aid Squad · Oct 2021 – Jun 2022

Assisted EMT teams during 911 calls, supporting CPR, vitals monitoring, and emergency equipment preparation.

Student Volunteer

ISSO SEVA · Sep 2019 – Sep 2023

Led community initiatives including Diabetes Awareness events, breast cancer walks, and seasonal charity drives; recognized by the EverLasting Life Foundation for consistent service.

Student Volunteer

American Red Cross · Sep 2019 – Jun 2022

Organized fundraising events and donation drives; created outreach materials for youth and veterans programs.

Resume Snapshot

Education

Stevens Institute of Technology — B.S. in Computer Science (AI & ML Concentration); Minor in Quantitative Finance & Cybersecurity; GPA 3.750/4.000; Expected May 2027

Honors & Activities

Susquehanna Intercollegiate NYC Poker Tournament (1st of 1,000, $1,500)
AMC 12 (Top 3) · Dean's List (all semesters) · Stevens Global Scholarship
HackCTW Coding Hackathon (2nd place) · FIRST Robotics – Inspire Award

Outside of work: poker, tennis, aviation, Greek & economic history, travel, photography, cooking, and competitive typing (140 WPM).

Download Resume (PDF) Full background on LinkedIn

GitHub Activity

Latest public events for @HemangShankar. (Auto-fetches on load.)

Loading recent activity…

Contact

hshankar1@stevens.edu

linkedin.com/in/hemang-shankar

github.com/HemangShankar