Austin Starks
Founder, CEO
About
As a passionate software engineer and entrepreneur, I thrive on building high-quality software systems from scratch, particularly those involving complex AI-powered solutions. My most notable project, NexusTrade.io, exemplifies my execution abilities and independent problem-solving skills. This no-code AI-powered algorithmic trading and portfolio management platform showcases my dedication to creating innovative solutions in the financial technology space. At my previous job as a software engineer at Oscar Health, I have made significant contributions, including designing and executing on an integration that generates over $40 million in annual recurring income. My technical expertise spans multiple languages and frameworks, such as Golang, Python, JavaScript, TypeScript, React, and Rust, allowing me to develop robust and efficient software solutions. With a strong academic background as a GEM Fellow and alumnus of both Carnegie Mellon University and Cornell University, I bring a blend of rigorous education and practical experience. I am continuously driven by my obsession with software engineering excellence and my commitment to driving impactful, innovative projects.
United States
Atlanta
Financial Services
Amazon Web Services (AWS), TypeScript, Marketing, Operations Management, Reinforcement Learning, Software Engineering, Software as a Service (SaaS), Software Infrastructure, Time Management, Social Psychology, Communication, Presentation Skills, Software Development, Software Architecture, Machine Learning, Artificial Intelligence (AI), Large Language Models (LLM), Golang, Python (Programming Language), Java
Experience
Founder, CEO
NexusTrade.io
• Designed and scaled an AI trading platform to over 30,000 users. • Implemented complex LLM features like retrieval-augmented generation and prompt optimization • Implemented backtesting, paper-trading, trading strategy optimization, and a configurable design to create no-code algorithmic trading strategies with AI • Integrated app with the Alpaca Brokerage API to enable real-trading through the platform • Managed all aspects of the business, including marketing, sales, growth, design, and engineering
Software Engineer II
Coinbase
• Working to make institutional onboarding a delightful experience • Led onboarding question bank migration, eliminating a manual, error-prone process and reducing configuration time by 90% • Engineered the tax compliance architecture for International Institutional Onboarding (OECD CARF/CRS), securing continued market access across the EU/APAC and mitigating multi-million dollar regulatory penalties • Led design and implementation of institutional FCM futures onboarding, from data collection to application validation, provisioning, and rollout, personally onboarding 12+ multi-million and multi-billion dollar clients and unlocking regulated crypto derivatives access • Won 2nd place at Coinbase’s New Hire Hackathon, building a trading bot that translates natural language to on-chain orders • Technologies used include Golang, Kafka, React, Snowflake, Datadog, MongoDB, and DynamoDB
Software Engineer II
Oscar Health
New York, New York, United States
• Promoted from Software Engineer I to Software Engineer II within a year due to exceptional performance • Was on the claims engine and logic team which was responsible for generating 90% of Oscar’s revenue • Independently led the design and implementation of an integration with an external edits vendor. This integration is responsible for generating $40 million of annual recurring income for the company • Implemented a variety of supports projects to decrease the on-call support burden by over 90% • Won Leader’s Choice at the 2023 AI Hackathon by creating a tool that automates provider contract configuration • Won People’s Choice at the 2024 AI Hackathon by creating a tool that helped members manage chronic illnesses, such as diabetes, high cholesterol, and heart disease • Technologies used include Golang, Python (Flask), Protocol Buffers, and JavaScript (React)
Software Engineer Intern
Oscar Health
Los Angeles, California, United States
• Designed and implemented a tool to perform automatic metadata extraction of ~5400 documents per day • Implemented system using Python, React, Amazon Simple Queue Service, and Google AutoML for NLP • The project saves the company $400,000 annually by improving document triage efficiency
Software Engineer Intern
Hopscotch
New York, New York, United States
∙ Developed the company’s minimum viable product with a team of software engineering interns ∙ Used React to create a beautiful, responsive, and intuitive UI for the company’s core application
Research Lab Manager at the Implicit Social Cognition Lab
Cornell University
Ithaca, New York, United States
• Worked under Dr. Melissa Ferguson • Managed a lab of 10 research assistants that collected data from over 750 participants per semester. • Created schedules, conducted interviews, and made hiring decisions
Undergraduate Researcher
Princeton University
Princeton, New Jersey, United States
• Developed a Python script to analyze biological sequencing data to find gene-disease associations
Education
Carnegie Mellon University
Computer Software Engineering
Cornell University
Computational Biology
Austin Starks's Contact Information
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