Dev Adhikari
Download ResumeAI Systems
End‑to‑End Design
Backend APIs
Production‑Ready
Agentic AI
Autonomous Workflows
End‑to‑End Design
Production‑Ready
Autonomous Workflows
Highly driven Computer Engineering student at Thapathali Campus (IOE, Tribhuvan University) with deep hands-on expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI. Proven track record of designing and deploying sophisticated AI-powered systems — from intelligent recommendation engines and real-time computer vision pipelines to full-stack social media platforms and Retrieval-Augmented Generation (RAG) applications. Proficient in leveraging cutting-edge tools including Hugging Face Transformers, Model Context Protocol (MCP) for agentic AI workflows, and FAISS-powered vector search. Passionate about building scalable, production-grade applications that push the boundaries of what AI can deliver.
Scikit-learn, XGBoost, Hugging Face Transformers, NLTK, spaCy, Sentiment Analysis, NER, SHAP.
PyTorch, TensorFlow, CNNs (ResNet, VGG, EfficientNet), Transfer Learning, Image Processing.
Agentic AI, Model Context Protocol, LLM APIs, Advanced Prompt Engineering, Injection Defense.
FAISS, Semantic Search, Document & Multimedia Indexing, Multimodal Q&A Pipelines.
Django, FastAPI, DRF, WebSockets, REST, JWT Auth.
PostgreSQL, Redis Caching, Cloud-ready deployments on Windows and Linux.
Built a full-featured backend supporting user profiles, posts, likes, and real-time messaging via WebSockets using Django, DRF, JWT, Redis, and PostgreSQL.
Show CodeArchitected a full RAG pipeline that transcribes, chunks, and embeds YouTube content into FAISS for intelligent conversational Q&A using LLMs.
Show CodeClinical-grade CNN classifier on MRI scans using ResNet transfer learning, deployed via REST API.
Show CodeReal-time facial similarity engine using deep embedding extraction (FaceNet) and FAISS-powered approximate nearest-neighbor search.
Show CodeHigh-performance recommendation engine using collaborative filtering, matrix factorization, and content-based similarity with a scalable REST API.
Show CodeThapathali Campus, Institute of Engineering (IOE) — Tribhuvan University, Nepal