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║ DAKOTA.CHANG >> ML_ENGINEER.exe ║
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Dakota Chang
ML Engineer @ Indico • Co-Founder @ Nuggy • Netflix Fellow • DRF
about.exe
Hey! I'm Dakota, a machine learning engineer passionate about building AI solutions that drive real-world impact. Currently juggling multiple exciting roles - developing ML systems at Indico Data, co-founding Nuggy (AI-powered pricing for cannabis retail), and learning from the best as a Netflix Formation Fellow.
recent_experience.log
Co-Founder @ Nuggy
Building AI-powered dynamic pricing for cannabis dispensaries
- Developing ML solutions to optimize retailer margins and profitability
- Currently in stealth mode with early pilot partners
Machine Learning Intern @ Indico Data
Optimizing enterprise OCR systems
- Reduced OCR inference training costs by 12% through DSPy benchmarking
- Built Streamlit-based "Studio Assistant" for instant prompt quality feedback
Formation Fellow @ Netflix
Preparing for 2026 internship
- Selected as 1 of 40 fellows in competitive program
- Learning software engineering best practices and system architecture at scale
- Deep diving into distributed systems and microservices
Summer Track @ Dorm Room Fund
Exploring venture capital and AI trends
- Learning about cutting-edge AI trends and VC fundamentals
- Developing investment thesis for AI/ML startups
ML & Operations Intern @ Barn Owls Technology
Sole ML engineer at ag-tech startup
- Trained YOLOv11 model achieving 90%+ accuracy for pest detection
- Deployed to production across 14 farms with Docker/AWS
- Built REST API with PostgreSQL for real-time monitoring
Machine Learning Researcher @ Olin College of Engineering
Engineered and deployed an ensemble ML pipeline that autonomously optimizes HVAC set-points across multi-story commercial facilities
- Engineered and deployed an ensemble ML pipeline that autonomously optimizes HVAC set-points across multi-story commercial facilities
- Integrated models into a Python microservice stack (PyTorch, scikit-learn, NumPy) and conducted A/B simulations projecting >$6K in annual energy cost savings.
Machine Learning Intern @ Bootstrap
Developed ML curriculum for K-12 education
- Developed machine-learning classes for students aged 12-18 using Pyret coding language
- Collaborated with computer science teachers to simplify machine learning algorithms
- Created a series of educational materials to complement the classes
Team Manager @ The Coaching Dot
Promoted from unpaid intern to Team Manager
- Managed web team as an unpaid intern, leading to promotion as Team Manager
- Oversaw data analysis and A.I. team as a paid intern, driving innovation and efficiency
- Spearheaded projects to enhance website functionality and optimize data analysis processes
skills.config
Languages & Frameworks
Tools & Technologies
leadership.init
Andover Alumni Angels
Sourcer
Evaluated 30+ startup pitches for $2M angel network
Public Interest Tech Project Team
President
Built 3 company partnerships, led AAAS-published research