Work & Projects
Work Experience
5 roles across research, engineering, and advocacy
Research Intern
Applying computational biomechanics through musculoskeletal modeling and movement simulation in OpenSim. Processes and visualizes biomechanical datasets in Python and conducts structured literature reviews in support of ongoing faculty research.
Software Developer, R&D
Building a diabetes management application focused on UI design and data workflow architecture. Also developing an EdTech quiz platform where instructors upload model questions, students practice with topic-based filtering, and an AI assistant provides guided help throughout. Both projects developed under the mentorship of Dr. Bhandari.
Software Development Lead Intern
Led all technical development across UI and backend. Integrated OpenAI, Gemini, and Deepgram APIs; built computer vision features with MediaPipe and OpenCV; designed Supabase schemas, queries, and RLS policies; shipped RAG pipelines and multi-modal features.
Research Intern, Brain Computer Interfaces
Research in brain computer interface systems: signal acquisition, processing pipelines, and real-time decoding for BCI applications.
Power BI and IT Help Desk
Designed Power BI dashboards for organizational reporting and previously managed IT Help Desk operations. Selected as co-lead for an upcoming internal hackathon.
Personal Projects
Gamified sustainability platform
A full-stack gamified sustainability platform with challenges, streaks, and community-driven eco actions, powered by AI-generated recommendations.
Clinical AI fairness auditing SDK
An SDK for demographic fairness monitoring in clinical AI, featuring PELT-based drift detection and Gaussian process fairness forecasting.
Adaptive assessment platform
An adaptive assessment platform with AI-assisted question generation, topic-based constraints, and instructor-managed content for structured academic practice. Developed under the mentorship of Dr. Bhandari.
Medical document parsing
A medical document parsing pipeline using Pytesseract and OpenCV to extract structured clinical data from unstructured sources.