Computer Science Junior @ University of New Hampshire
Robotics • Reinforcement Learning • Systems • Product Engineering

I’m a junior in Computer Science with strong interests in robotics, reinforcement learning, and systems engineering.
I enjoy working across the stack—from low-level systems and robotics control to machine learning pipelines and product-driven applications.

My long-term goal is to pursue a PhD focused on Imitation Learning and Robotics, while continuing to build tools and products that operate reliably in the real world.

• 🎓 B.S. Computer Science, University of New Hampshire (Expected 2027)
• 🤖 Research interests: Reinforcement Learning, Imitation Learning, Robotics, Vision-Language Models
• 🧠 Enjoys blending theory + implementation
• 🏗️ Builder mindset: research code, production systems, and user-facing products

• Undergraduate Research Assistant
  Cognitive Assistive Robotics Lab, University of New Hampshire

• Engineering Intern – AI & Automation
  Sustainability Roundtable Inc. (Summer 2025)

• Senior Developer
  UNH InterOperability Lab
  → Systems-level development involving NVMe / PCIe®, ZNS, and performance-critical infrastructure

• Founder & Chair
  Desi Student Association

• Upcoming Software Engineering Intern
  Arista (Summer 2026)

• Java, Python, JavaScript, TypeScript, HTML, CSS, MySQL, Bash, C++, MATLAB, Julia, Lean, MongoDB

• Frontend: React, Angular, TailwindCSS, Bootstrap
• Backend: Flask, Node.js, Supabase
• Systems / DevOps: Git, Azure, Linux, LaTeX
• ML / Robotics: PyTorch, NumPy, OpenCV, ROS 2 (learning)

• Diffusion & Imitation Learning Policies
  Implemented and debugged diffusion-based policies for robotic manipulation (Franka, YuMi), including custom rollout logic, vision pipelines, and success metrics.

• Self-Supervised Vision Experiments (DINO / SAM)
  Feature extraction, similarity analysis, and segmentation-based visual grounding for robotics perception.

Repo: cattracker A cloud-native, ticket-driven platform for university lost-and-found operations. Designed with a modular backend and deployable serverless components.

• CRUD workflows for lost/found items
• Searchable item metadata with status tracking
• Containerized development setup

Tech: Azure Functions · Python · MongoDB · Docker · HTML/CSS · JavaScript

Repo: your-daily-podcaster An automated content pipeline that crawls sources, summarizes them with LLMs, converts them to audio, and publishes a daily podcast.

• End-to-end automation (crawl → summarize → TTS → publish)
• CI-driven execution with logging and observability
• Designed as a reproducible pipeline, not a script

Tech: Python · LLM APIs · TTS · GitHub Actions

Repo: photo-manager A lightweight local photo organization tool focused on usability and automation.

• File indexing and metadata handling
• Clean CLI / scriptable interface
• Emphasis on correctness and maintainability

Tech: Python

I’m always happy to discuss:

• Robotics & Imitation Learning
• Reinforcement Learning (theory + practice)
• Product-driven engineering

Feel free to reach out—collaboration is where the best ideas happen.