Engineer who builds end-to-end.
I build AI-powered systems that work in the real world - from developing and fine-tuning models for domain-specific tasks, to deploying real-time robotics, to shipping intelligent applications into production.
Currently at Araca, I'm building an analytics platform for semiconductor research, starting as a desktop application with interactive dashboards, ML prediction models, and an LLM-powered assistant, with plans to expand into a web-based platform. Previously, I designed AWS pipelines processing 500K+ events daily and built a coding platform serving 300+ students.
My MS thesis at the University of Arizona tackles vision-language-action models for autonomous driving, fine-tuning a 957M parameter model and deploying it in real-time control loops at 4Hz. I've published three research papers spanning autonomous vehicles, drone swarm coordination, and VR teleoperation.
What I bring to the table.
ML Systems
End-to-end machine learning - from data pipelines and model training to deployment and monitoring. Fine-tuning LLMs, building prediction models with proper cross-validation, and integrating AI into production workflows.
Robotics & Autonomous Systems
Building systems that perceive, decide, and act in the real world. Real-time control loops, sensor fusion, and multi-agent coordination with published research.
Full-Stack Engineering
From responsive frontends to scalable backend services, REST and GraphQL APIs, relational and NoSQL databases, authentication and authorization, containerized deployments, and CI/CD pipelines. Desktop apps, web platforms, and the infrastructure that connects them.
AI Integration
Embedding intelligence into real products - not chatbot wrappers. Fine-tuned LLM-powered assistants for domain-specific workflows, AI-driven analysis tools, and intelligent automation that actually ships.
Selected projects.
Each one built end-to-end. Click to see the full case study.
Araca Insights
Lead EngineerAnalytics platform that replaced 100+ hours of manual spreadsheet work for semiconductor researchers. Automates sensor data processing, interactive analysis, ML-driven predictions, and one-click report generation. Features an AI assistant for intelligent data interpretation.
VLA Autonomous Driving
Solo Researcher - MS ThesisVision-language-action model for autonomous vehicle control. Fine-tuned a 957M parameter model using LoRA, designed a complete data collection pipeline, and deployed real-time inference at 4Hz with PID-tuned control.
VR Multicopter Teleoperation
Lead Engineer, Published ResearchImmersive third-person VR system for aerial robot control. Built a low-latency WebXR-to-ROS2 bridge on Jetson Orin with real-time SLAM, increasing obstacle clearance by 0.20m without compromising task time.
Decentralized Drone Swarm Coordination
Lead Engineer, Published ResearchExperimental validation of decentralized affine transformation for multi-agent aerial systems. Six Crazyflie quadrotors coordinate formation changes through constrained environments using only local neighbor communication - no global planner needed.
Where I've been.
- Building production analytics platform for semiconductor research with desktop application and interactive dashboards
- Developing ML prediction models with cross-validation and automated reporting pipelines
- Integrating LLM-powered assistant using LangChain and Ollama for intelligent data analysis
- Fine-tuning 957M parameter vision-language-action model for autonomous driving using LoRA and DeepSpeed
- Designing real-time inference pipeline achieving 4Hz control frequency with ROS2 integration
- Published three research papers on decentralized drone coordination, VR teleoperation, and autonomous vehicle control
- Designed and deployed AWS Lambda pipelines processing 500K+ events daily
- Built secure authentication system using JWT tokens and containerized services with Docker
- Architected scalable backend infrastructure improving system reliability and performance
- Built and maintained a full-stack coding platform serving 300+ students using React and Node.js
- Designed PostgreSQL database schema for assignment submission and grading workflows
- Coordinated course logistics and held office hours for data structures and algorithms courses
- Completed B.S. in Computer Science with focus on machine learning and systems programming
- Awarded $7K+ in NSF I-Corps grants for entrepreneurial and research activities
- Competed in TCS CodeVita placing in the top 0.05% among 444,000+ participants globally
Let's build something.
Open to opportunities.