Hi, I'm Aarav

CS + Finance Student & Algorithmic Trading Enthusiast

Chief of Internal Insights @ Generate Product Development Studio | ML Research Assistant @ Khoury College

About Me

Hi, I'm Aarav – a Computer Science & Finance student at Northeastern University. I'm currently Chief of Internal Insights at Generate Product Development Studio, where I build data systems for a 150+ member innovation community. I'm also doing machine learning research at Khoury College, working on computational models for network optimization.

Finally, I'm currently exploring high-frequency trading strategies, market microstructure, and portfolio optimization while building systems that turn organizational chaos into actionable intelligence.

I'm exploring three paths: AI research, software engineering, and quantitative finance. What drives me is optimization – I've always been obsessed with finding better ways to do everything, which naturally led me to coding as the ultimate optimization tool.

When I'm not programming, you'll find me at the poker table, in the gym, or training MMA.

Languages

Python JavaScript Java SQL HTML/CSS

Frameworks

React FastAPI Flask pandas NumPy scikit-learn

Tools

Git/GitHub Docker AWS PostgreSQL Redis

Finance

Algorithmic Trading Technical Analysis Risk Management Quantitative Analysis

When I'm Not Coding

♠A Poker
Gym
MMA

Experience

Chief of Internal Insights

Jul 2025 - Present

Generate Product Development Studio

Leading data infrastructure and organizational intelligence for Northeastern's premier innovation hub

  • Architect comprehensive data analytics strategy for 150+ member product development studio, enabling data-driven decision making across 20+ concurrent ventures
  • Design and implement automated feedback systems using Python and cloud infrastructure to track team health metrics, project velocity, and organizational patterns in real-time
  • Build interactive dashboards and visualization tools that transform complex organizational data into actionable insights, improving leadership response time by 75%
  • Develop predictive models to identify at-risk projects and team burnout patterns, enabling proactive interventions
  • Create "organizational memory" system that captures and shares learnings across teams, accelerating future project success
  • Partner with Community Director to implement data-driven rituals that make achievements visible and celebrate team wins
Python Data Analytics Dashboard Development Organizational Intelligence Leadership Automation

Machine Learning Research Assistant

Jun 2025 - Present

Khoury College of Computer Sciences

  • Investigating computational models for complex network analysis and optimization problems
  • Developing Python applications processing 500GB+ of network data using distributed computing
  • Reduced algorithm runtime from O(n³) to O(n²) achieving 40% performance improvement
  • Building distributed systems handling 1000+ API requests per minute with fault tolerance
Python Algorithms Big Data Distributed Systems

Software Engineering Intern

Jun - Aug 2024

GetFeedz Inc.

  • Developed responsive React components reducing page load time by 35%
  • Debugged state management issues decreasing crash rate from 12% to 3%
  • Achieved 85% test coverage using Jest and React Testing Library
  • Collaborated in Agile environment using Jira and participated in code reviews
React JavaScript Jest Agile

Data Analysis Research Assistant

May - Jul 2024

International Hellenic University

  • Designed algorithms processing 1M+ healthcare records in under 30 seconds
  • Reduced query latency by 10x through database indexing and optimization
  • Built automation tools with 99.5% reliability, saving 20 hours/week
Python SQL Data Analysis Optimization

Projects

Jarvis - Full-Stack Personal Assistant

2025

Building microservices with FastAPI handling 200+ RPS. Real-time features using WebSockets with 50ms latency. Integrated multiple APIs including weather and calendar.

Python FastAPI React PostgreSQL Redis Docker
View on GitHub Private • Public upon request

Stock Trading Analysis Platform

2024

Built automated trading system with Python for analyzing stock patterns and executing trades. Implemented popular indicators like moving averages and RSI for buy/sell signals. Backtested strategies on historical data with paper trading simulation. Features real-time price tracking and performance dashboards.

Python pandas NumPy yfinance Flask Plotly Redis
View on GitHub Private • Public upon request

NutriCycle - Environmental Tracking Platform

2024

Cloud-based tracker deployed on Render with 99% uptime. RESTful API handling 100+ daily calls. Responsive UI with vanilla JavaScript.

Flask JavaScript SQLite CI/CD