I am a Software Engineer and AI Researcher capable of bridging the gap between theoretical Machine Learning and production-grade applications. Currently completing my Master's in Computer Science, I specialize in building distributed systems, optimizing backend performance, and developing novel AI diagnostics.
When I'm not architecting microservices or training RAG pipelines, you can find me singing cover songs 🎤 or exploring my roots from Nepal 🇳🇵.
| Governor's Giant Vision Competition 2026 | NSF Great Plains I-Corps |
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| Selected as a Finalist for DentiMap, an AI-driven dental screening tool utilizing RAG pipelines. | Executed technology commercialization and market validation for advanced AI research. |
| Core AI & ML | Backend & Systems | Cloud & DevOps | Frontend & Mobile |
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| Project | Description | Stack |
|---|---|---|
| DentiMap (Finalist) | AI Diagnostic Tool: Architected a RAG-based pipeline using LLMs to visualize diagnostic results. Selected as a finalist in the SD Governor's Giant Vision Competition. | LLMs RAG React Tailwind |
| Distributed Deep Learning | High-Performance Computing: Designed scalable infrastructure using PyTorch DDP & NCCL. Reduced execution time by 50% (60s → 30s) via strategic batch scaling. | PyTorch DDP NCCL Distributed Systems |
| Intelligent Hybrid Search | Information Retrieval: Architected a system merging BM25 (sparse) and Sentence Transformers (dense) with custom Reciprocal Rank Fusion. | Streamlit Transformers NLTK RRF |
🧪 Graduate Research Assistant @ University of South Dakota (Current)
- AI Diagnostics: Developed DentiMap, leveraging RAG pipelines and Computer Vision.
- NSF I-Corps Researcher: Led market validation and technology commercialization for advanced AI research.
- Academic Publications: Leading reviews on Quantum Computing and Endocrinology methodologies.
💻 Full-Stack Software Engineer @ Delta V Logics & Solutions
- Engineered distributed systems handling 100k+ concurrent users using Python/Django.
- Reduced deployment time by 40% via CI/CD pipelines (GitHub Actions/Docker) on Azure.
- Boosted system reliability by 35% through robust PyTest frameworks.
📱 Mobile App Developer @ Code Himalaya
- Led end-to-end mobile cycles with Flutter & Dart.
- Prevented app crashes by 50% and improved responsiveness by 40% through rigorous A/B testing.
