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Experience

Professional history — reverse chronological.

TYPEPOSITION
LEAD

Co-Founder

Kosmos

APR 2026 — PRESENT

▸

future unicorn. helping people trade their beliefs with conviction

LEAD

Software Lead (Algorithmic Trading)

Illini Blockchain

SEP 2025 — PRESENT

▸

Leading engineers in building algorithmic trading systems focused on prediction markets

▸

Developing end-to-end automated trading pipelines from data ingestion to execution across prediction markets, crypto, and equities

▸

mplementing quantitative models in Python and C++ for signal generation, backtesting, and live deployment

WORK

Consultant Intern (SWE)

KPMG

MAY 2025 — AUG 2025

▸

Worked with Salesforce to build and deliver custom financial and retail solutions to enterprise clients

▸

Built AI Agents to streamline business processes and reduce human intervention

LEAD

Software Lead

Illinois Autonomous Vehicles

AUG 2024 — PRESENT

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Leading a team of engineers building end-to-end computer vision systems enabling drones to identify ground targets in real time

▸

Using Python and OpenCV for image processing and training custom YOLO models for high-speed, high-accuracy image recognition

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Integrating LiDAR data with visual outputs for precise altitude estimation and sensor fusion, improving target localization

WORK

SWE Intern

GamePlay

MAY 2024 — AUG 2024

▸

Implemented a smart autocomplete-driven search using C# and JavaScript

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Designed and developed an automated data harvesting pipeline for location data using Google Places API

▸

Refactored legacy frontend code for better performance, improving page performance metrics by over 105%

EDU

Course Assistant

CS 124: Intro to Computer Science

JAN 2024 — MAY 2024

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Helped students grasp basic programming concepts in Java

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Instilled problem solving and critical thinking skills through office hours and code reviews

WORK

Consultant

Illinois Sports Consulting Agency

AUG 2023 — DEC 2023

▸

Helped a sports coaching startup better understand user requirements and prioritize features

▸

Conducted market research and competitor analysis to inform product and industry strategy

WORK

ML Intern

SportzInteractive

JUN 2023 — AUG 2023

▸

Developed logistic regression models using Scikit-Learn to calculate pre-game and in-game win probabilities for NBA games

▸

Processed, cleaned, and normalized large datasets with Pandas and NumPy for reliable analysis and modeling

▸

Conducted thorough research on optimal features for predictive modeling