Education
University of South Dakota
Aug 2024 - May 2026Master of Science in Computer Science
Focusing on Advanced AI, Distributed Systems, and High-Performance Computing.
University of Bedfordshire
Sep 2019 - Mar 2023Bachelor in Computer Science & Software Engineering
Graduated with Honors. Capstone focus on Mobile Application Development.
Technical Skills
Languages
Frontend & Mobile
Backend & Systems
DevOps & Cloud
AI & Data Science
Experience
University of South Dakota
Graduate Research Assistant
- Architected a full-stack RAG pipeline using LLMs for DentiMap, an AI-powered dental diagnostic tool, selected as a Finalist in the SD Governor's Giant Vision Competition out of 100+ submissions.
- Leading technology commercialization and market validation as Technical Lead for the NSF Great Plains I-Corps program, translating AI research into viable product strategy.
- Co-authoring a peer-reviewed research paper on AI applications in Endocrinology, synthesizing state-of-the-art ML methodologies for clinical decision support systems.
- Investigating Quantum Computing algorithms and their intersection with AI optimization, exploring near-term applications in high-dimensional data processing.
Delta V Logics & Solutions
Software Engineer
- Built and maintained a full-stack restaurant order management platform handling multi-vendor menus, real-time order routing, and kitchen workflows using Python (Django/FastAPI) and React.
- Integrated Clover POS API and Stripe Payment Gateway to process end-to-end transactions, managing webhook events, payment reconciliation, and refund flows across multiple restaurant clients.
- Engineered distributed microservices supporting 100,000+ concurrent users, optimizing PostgreSQL query performance and Redis caching strategies to reduce API response times under peak load.
- Administered Azure Active Directory, managed domain hosting, DNS configurations, and network access policies as a System Admin reducing deployment time by 40% and boosting uptime by 30% via CI/CD pipelines with GitHub Actions and Docker.
- Improved system reliability by 35% by implementing PyTest frameworks covering unit, integration, and payment flow testing across frontend and backend codebases.
Code Himalaya
Software Engineer
- Developed and shipped cross-platform mobile applications using Flutter and Dart, owning the full development lifecycle from UI design to backend API integration and Play Store/App Store deployment.
- Built RESTful backend services and responsive web frontends to support real-time data synchronization across mobile and web platforms, achieving 99.9% uptime.
- Reduced application crash rates by 50% through systematic root cause analysis, implementing robust error handling, state management improvements, and rigorous device testing.
- Boosted app responsiveness by 40% by profiling rendering bottlenecks, optimizing widget trees, and applying insights from A/B testing and user feedback loops.
Featured Work
AI Code Review Tool
LLM-Powered DevOps
GitHub-integrated app that uses LLMs to automatically review pull requests, post inline comments, flag security issues, and send Slack/email notifications via a full job-queue pipeline.
OnTrack AI
NLP Habit Tracker · Live
Full-stack habit tracker where users log habits in plain English. A custom spaCy NLP model parses, categorizes, and stores structured data automatically. Deployed and live.
Intelligent Hybrid Search
Information Retrieval · Live
Hybrid IR system over 20,000 Wikipedia articles combining BM25 sparse retrieval and dense SentenceTransformer embeddings fused via Reciprocal Rank Fusion. Live on Hugging Face Spaces.
TogglSub
AI Subscription Tracker · Mobile
Privacy-first Flutter app that uses Gmail API + Gemini AI to auto-detect subscriptions from your inbox, track spending, send renewal alerts, and detect price hikes, offline-first with Firestore sync.
BizBot
AI Receptionist · RAG
Self-configuring AI receptionist that ingests business data via a RAG pipeline and integrates into any website with a single script tag — no coding required from the business owner.
DentiMap
AI Diagnostic Tool · Award
Award-winning AI dental screening tool built with a RAG pipeline for high-accuracy diagnostics. Selected as a Finalist in the SD Governor's Giant Vision Competition.
Efficient Instrument Classification
Real-Time Computer Vision
Real-time surgical instrument classification from video streams. MobileNetV3-Small achieves 86.36% accuracy at 4.55ms inference and 10 FPS with 0% frame drop. Part of the EICC Challenge.