Mind-Controlled Robotic Arm

A robotic arm driven by thought alone (NeuroSky EEG headset and an Arduino)

• Drives a robotic arm from thought alone — a proof-of-concept brain-computer interface.
• Pairs a NeuroSky EEG headset with an Arduino microprocessor.
• Built as a foundation for future BCI work translating intent into sign-language gestures for differently-abled users.

Technologies: NeuroSky, Arduino, C++, Python, EEG

Demo

BoilerFrame

Finds every frame a person appears in a video (Full-stack MERN app on AWS Rekognition)

• Full-stack web app that pinpoints every appearance of a target person in a video.
• Ingests reference images and footage, then runs a facial-recognition pipeline.
• Built on the MERN stack with AWS Rekognition.

Technologies: React, Express, MongoDB, AWS Rekognition, MERN

GitHub

Left/Right Thought Prediction (EEG)

Classifies left, right and neutral thoughts from EEG (16-channel OpenBCI headset)

• Classifies left, right, and neutral thoughts from 16-channel EEG data captured with an OpenBCI headset.
• Pairs a stimulus-display program with TensorFlow models.
• Ongoing work focuses on dataset collection and classification accuracy.

Technologies: Python, OpenBCI, BrainFlow, TensorFlow, Keras, EEG

GitHub

Predicting Citizen Happiness

Modeled how public spending tracks happiness (Columbia University SHAPE, team of four)

• Trained a Lasso model to correlate national spending with reported citizen happiness.
• Analyzed spending across military, education, and health.
• Built by a 4-person team during Columbia University's SHAPE program in NYC.

Technologies: Python, Pandas, scikit-learn, Lasso, SHAPE

Demo | GitHub

QRIfy

Turns any text into a downloadable QR code (Python and Segno on AWS EC2)

• Web app that turns user text into a downloadable QR code.
• Python and Segno backend with a hand-rolled HTML/CSS/JS frontend.
• Built to practice the full deploy loop, hosted on an AWS EC2 instance.

Technologies: Python, Segno, HTML, CSS, JavaScript, AWS EC2

GitHub

Habitat for Humanity E-Commerce

One-click listings to Marketplace and eBay (Google Apps Script tool for a non-profit)

• Built and rolled out an inventory-listing tool for Habitat for Humanity.
• Posts items to Facebook Marketplace and eBay from a single interface.
• Authored training materials and onboarded staff to the new workflow.

Technologies: Google Apps Script, JavaScript, Automation

GitHub

Undergraduate Student Researcher (CS & AI), Vertically Integrated Projects (VIP) at Purdue

Aug 2026 – Present, West Lafayette, Indiana, United States

• Selected for a faculty-advised, credit-bearing research team of 30+ students building the full autonomy stack, perception, localization, planning, controls, and simulation for Purdue's driverless racing platforms.
• Working within the software/AI track to apply machine learning and computer vision methods to on-vehicle autonomy problems, developing in Python and C++ on a ROS 2 codebase with LiDAR, camera, and GNSS/IMU sensor data.
• Scoping a semester-long research project with faculty and graduate-student mentors, to be validated in simulation against logged track data before deployment on the team vehicle.

Technologies: Python, C++, ROS 2, Machine Learning, Computer Vision, Sensor Fusion (LiDAR, Camera, GNSS/IMU)

Software Developer - Corporate Partners (DELMAR Software), The Data Mine-Purdue University

Aug 2026 – Present, West Lafayette, Indiana, United States

• Developing FieldWatch 2.0 console with DELMAR Software, rebuilding the DriftWatch specialty crop registry admin experience into a full operations console used by producers, beekeepers, and pesticide applicators across multiple states.
• Rebuilding admin workflows, report generation, bulk export, and user administration, on a Python & PostgreSQL backend with a Vue front end
• Designing API access control and service boundaries as the platform moves toward a micro-services architecture
• Partnering with DELMAR product owners to translate operational requirements into system design, contributing architecture proposals on services, API contracts, and schema changes
• Improving query performance and data accuracy across the registry's mapping and reporting paths
• Delivering on a milestone cadence (Agile Software Development Methodology) with demos and prototypes reviewed directly by the DELMAR engineering team.

Technologies: Python, PostgreSQL, JavaScript, Vue, REST API design, micro-service based architecture, Agile Project Management, Database Design, Application, Programming, Application Programming Interfaces (API), Software Architecture, Full-Stack Development, Git, Technical Communication, Requirement Analysis, Continuous Integration and Continuous Delivery (CI/CD), Query Optimization, SQL

Undergraduate Researcher, TinyML, Snowball Lab, Purdue University

2026 – now, West Lafayette, IN

• Researching TinyML systems for edge inference under Prof. Qiuyue "Shirley" Xue.
• Optimizing and deploying small ML models onto low-power embedded hardware via Edge Impulse.
• Investigating novel low-power designs, including piezoelectric microphones that act as both sensors and energy sources for on-device models.
• Weighing model accuracy against hardware and energy constraints through implementation, experimentation, and literature review.

Technologies: TinyML, Edge Impulse, Embedded ML, Python, C/C++, Edge Inference

Software Developer, Hack The Future @ Purdue

2025 – 2026, West Lafayette, IN

• Built a full-stack, AI-powered RAG learning platform for a non-profit serving 500+ underserved learners studying personal finance.
• Wired the RAG pipeline, LLM workflow, and vector retrieval that grounds chatbot answers in actual lesson content.
• Added AI generation of quizzes and assignments, and shipped the core lesson-delivery UI and backend.
• Translated non-technical product requirements into technical specs, working with designers and stakeholders end-to-end.

Technologies: React, Node.js, Express, MongoDB, Ollama, RAG, Vercel, Cloudflare

Investor Relations Chair, Code Ninjas

2025, Northborough, MA

• Promoted role layered on top of Code Sensei duties.
• Analyzed company revenue, costs, and margins to surface historical trends and key financial insights.
• Delivered quarterly reports to colleagues and associates.
• Democratized investment knowledge across the organization by fielding policy questions and teaching peers how to read company analysis.

Technologies: Financial Analysis, Reporting, Investor Education

Code Sensei, Code Ninjas

2023 – 2025, Northborough, MA

• Taught programming through game development to 40 students aged 5–12, covering JavaScript, C#, MakeCode, and 3D modeling/printing.
• Built personalized skill-development paths with parents and ran demos for prospective families.
• Organized hackathons and kept the learning environment positive, safe, and a little chaotic in the best way.

Technologies: Teaching, JavaScript, C#, MakeCode, 3D Modeling, Mentorship