AI Engineer · Researcher
Building production AI at the intersection of RAG, computer vision, and applied ML. Research published in INJET. Harvard Aspire Leaders cohort.
Full-stack AI engineer shipping production AI systems from research concept to deployed product. Specializing in RAG, computer vision, and intelligent automation. Currently at SkinPal AI. Research published in the International Journal on Engineering and Technology (INJET) 2025.
B.Sc. Computer Science and Information Technology
Soch College of IT, Pokhara
7th Semester, GPA 3.4/4.0, Batch Topper (2nd and 3rd Sem)
Microdegree in AI
Fusemachines 2025
Nepal AI School, NAAMII, Dec 2025 Fusemachines Cert → NAAMII Cert →
Core
AI / LLM
Backend & Data
Infra
AI Engineer
SkinPal AI · Remote
AI Fellow
Fusemachines · Remote
DO-LEC: Dynamic Obstacle-Aware Largest Empty Circle
Paper →Novel computational geometry algorithm for dynamic obstacle avoidance. 40% faster than O(n²) via incremental spatial indexing. Published in INJET 2025.
Repo Explainer
Repo →Hybrid RAG system (BM25 + BGE + RRF) answering questions about any GitHub repo with file-level citations. AST-aware chunking via tree-sitter across 7 languages. FastAPI + Pinecone on Render.
Literature Assistant
Repo →Full-stack research platform aggregating papers from arXiv, Semantic Scholar, OpenAlex. UMAP + HDBSCAN clustering, LLM-generated research gap reports, interactive D3 map, PDF export, CI/CD.
Guided Attention Learning for ECG Classification
Repo →Diagnosed stalled ECG classification project: dataset stratification was the root cause. Improved accuracy 30-40% to 95.99% (F1: 0.9647).
International Journal on Engineering and Technology (INJET), 2025
Medium, 2025
Open to remote AI engineering opportunities. Reach out at [email protected]