.jpg&w=1080&q=95)
Lev Sosani
Trader in training at BP, Part-time engineer at ExitPath
Passionate about leveraging technology and AI in the world's biggest commodity and financial markets. Currently working as a trader in training at BP full-time while I spend my weekends developing AI systems for a financial consulting firm.
About Me
I currently work as a part of the BP Trading & Shipping team in Chicago, where my role sits alongside industry leaders of the world's biggest commodity and financial markets.
With my degree in computer science and economics, I've been able to build impactful applications and substantially increase data processing efficiency in one of the world's fastest moving markets.
Prior to joining BP, I worked as a software engineer and product lead at DuelDog, where I led a cross-functional team to rebuild a legacy application from the ground up. Over $100k was raised from angel investors to fund this project.
In total, I have 4+ years of experience in software engineering, design, and various small-scale leadership roles. I love building impactful applications and systems to make workflows more efficient and effective.
Key Highlights
Education & Experience
My academic journey and professional growth across software engineering, trading, and leadership roles.
Education
B.S. in Computer Science and Economics
Class of 2025Graduated in May of 2025 with a degree in Computer Science and Economics. I spent my time in school talking to and learning from some of the top CS professors in the world, building fun and complex tech projects, and contributing to the UIUC community for all 4 years.
Current Role
Trader Development Program
June 2025 – PresentWorking as a trader in training at BP alongside industry leaders at some of the world's biggest billion dollar commodity trade desks. My current role is specialized around refineries and downstream analysis.
Previous Experiences
Fundamentals Modeling & Innovation Intern
August 2024 – December 2024Transferred legacy market data models to modern platforms, improving scalability and maintainability. Designed and implemented a new data pipeline, boosting processing efficiency by 200%+ and enhancing model accuracy by 10%.
Featured Projects
Here are some of my recent projects that showcase my skills in full-stack development, data analysis, and problem-solving.
HomeBase
First-generation platform for unified control of Tesla API, smart lights, weather data, and stock portfolio from Raspberry Pi 4. Implemented microservice architecture using Flask for modular, scalable device interactions.
Handtracking-Colormatch
A Python-based hand tracking application that uses computer vision to detect hand movements and match colors in real-time.
TradeScrape
Designed, backtested, and funded a trading agent handling ~8 options trades daily. Deployed on custom AWS EC2 instance with 100% uptime. Integrated GPT-4 API to process 500+ trade ideas weekly, improving trade selection accuracy by 90%.
Self-Driving Car Simulator
Built a self-driving car simulator using Raspberry Pi and Pi Camera. Implemented computer vision algorithms for lane detection and autonomous navigation in a controlled environment.
Govee-Python-Library
A Python library for controlling Govee smart devices, providing an easy-to-use interface for home automation.
Wikipedia Connectivity Visualizer
A C++ application that visualizes connectivity patterns using Stanford datasets. Processes large-scale network data to create interactive visualizations of complex relationships.
Get In Touch
I'm always interested in new opportunities and collaborations. Feel free to reach out if you'd like to work together or just want to say hello!
Let's Connect
Available for:
- • Part-time Software Engineering positions
- • Quantitative Trading opportunities
- • Fintech and Energy Trading research
- • Software related community support and volunteering