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AI Engineer with 1+ years in NLP, RAG systems & AI products
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Assessing your cultural and operational fit
Analytical AI/ML Engineer with hands-on experience building NLP applications, RAG systems, voice-enabled AI products, and production-ready APIs. Proven ability to integrate modern AI stacks including LangChain, LangGraph, and FastAPI, alongside speech and sentiment-analysis pipelines. Strong problem-solving skills in both team and self-driven environments, with rapid adaptability to emerging AI technologies.
Advanced College of Engineering and Management
Bachelor's · Computer Engineering
August 1, 2019 – June 30, 2024
Rumsan
Associate AI/ML Engineer
May 1, 2025 – Present
Kathmandu, Bagmati Zone, Nepal
Nepali Law Chatbot
June 24, 2026 – Present
Built and deployed a production-ready legal AI chatbot that provides accurate, context-aware responses grounded in the Constitution of Nepal. Implemented a RAG pipeline using Qdrant as the vector store and GPT-4o as the language model, served via an MCP-compatible Streamlit web interface. Achieved high retrieval accuracy by chunking and embedding constitutional articles into a searchable vector index.
View ProjectAI Therapist – Voice-Enabled Mental Health Support Platform
June 24, 2026 – Present
Designed and built a full-stack AI therapist application with a FastAPI backend and React frontend, supporting both text and voice-based conversations. Implemented a voice pipeline using Whisper for speech-to-text transcription, enabling users to speak or upload audio messages directly to the AI agent. Built an LLM-based sentiment and emotion-detection service that classifies each message's sentiment, dominant emotion, and crisis risk, persisting results to PostgreSQL for session-level analytics. Engineered a layered crisis-detection safeguard combining keyword-based pattern matching with LLM classification to reliably flag self-harm or suicidal ideation, triggering a dedicated empathetic response and crisis-resource guidance. Developed a session-based conversation memory system and a sentiment-analytics dashboard summarizing emotional trends, voice-vs-text usage, and confidence scores per session. Implemented secure JWT authentication with email verification, and structured the codebase with Alembic migrations for safe, incremental schema evolution.
View ProjectGuide Me - Travel Guide Platform
June 24, 2026 – Present
Developed a full-stack travel guide platform enabling users to register as local guides or discover guides across regions of Nepal. Designed end-to-end user flows including registration, profile creation, location-based guide search, and booking. Built with a clean MVC architecture supporting dual user roles (guide and traveller) with location filtering.
View ProjectBuilding AI Agents
ECA Training Hub
January 1, 2025 – Present
Getting Started with Docker
Simplilearn
January 1, 2025 – Present
Python and Django
Broadway Infosys
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI to real-world problems, including legal assistance and mental health support, which aligns with impact-driven roles. The diversity of projects (full-stack travel platform, legal chatbot, AI therapist) shows a broad interest and adaptability. The current role as an Associate AI/ML Engineer at Rumsan directly aligns with the target role of an AI Engineer, indicating a clear career path and relevant experience. The academic project 'Guide Me' also shows experience in traditional software development, complementing the AI focus.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving skills and a self-driven approach, particularly in adapting to emerging AI technologies. The detailed descriptions of complex features like crisis detection and conversation memory suggest a methodical and thorough approach to development. The use of Git/GitHub and Docker implies good operational practices for version control and deployment.