• Developing a restaurant recommendation system for RoamX, a Canadian client application, using collaborative and content-based filtering with geolocation-aware personalization to improve recommendation relevance and user discovery experience
• Provisioned and managed Proxmox virtual machines as self-hosted AI inference servers, configuring compute resources, networking, and containerized deployment environments for internal AI applications
• Deployed and integrated a Hermes-based employee chatbot with Telegram using Docker, enabling internal staff to access AI-assisted support and knowledge retrieval through a centralized conversational interface
Recommendation Systems
Collaborative Filtering
Geolocation
Proxmox
Chatbot
Telegram Integration
Hermes LLM
Docker
Server Management
ML Engineer Freelancer
Self-Employed
November 2025 - Present
Remote
• Developed AI/LLM projects including RAG systems, prompt optimization, and agentic architectures for diverse client requirements
• Built chatbot solutions with LangChain, vector databases, and custom agent frameworks for enterprise clients
• Implemented agent development systems with autonomous decision-making, tool calling, and complex workflow orchestration
• Performed comprehensive data analysis and visualization projects leveraging Python, Pandas, and interactive dashboarding tools
• Designed and deployed end-to-end MLOps pipelines with DVC for data versioning, MLflow for experiment tracking, and GitHub Actions CI/CD for automated testing and deployment
• Containerized ML applications using Docker and deployed on AWS infrastructure (EC2, ECR, ECS) with artifact versioning and model registry management
• Implemented automated model evaluation, versioning, and promotion logic with threshold-based deployment strategies to ensure production reliability
AI/LLM Projects
Chatbot Development
Agent Systems
Data Analysis
RAG Systems
Docker
DVC
MLflow
GitHub Actions CI/CD
AWS (EC2, ECR, ECS)
Model Registry
AI Intern
FuseMachines
October 2025 - January 2026
Kathmandu, Nepal
• Developed and deployed an LLM-based question variation system for Learning Management System (LMS) to enhance educational content diversity
• Implemented advanced prompting techniques including few-shot learning, chain-of-thought, and prompt chaining to optimize question generation quality and relevance
• Built and deployed production-ready MLOps pipelines for seamless integration with existing LMS infrastructure, ensuring scalability and reliability
• Conducted extensive research on Generative AI and designed an agentic system architecture with autonomous decision-making capabilities for intelligent content generation
• Collaborated with cross-functional teams to integrate AI capabilities into educational workflows, improving system automation and user experience
LLM Systems
Prompt Engineering
MLOps Pipelines
Agentic Systems
GenAI Research
LMS Integration
Machine Learning Intern
Aakash Labs
July 2025 - October 2025
Kathmandu, Nepal
• Assist on chatbot development through RAGs (Retrieval-Augmented Generation)
• Performed Data preprocessing, cleaning and evaluating Large Language Models into application
• Gain an edge experience in prompt engineering, Hugging Face tools and semantic vector embeddings
• Worked with OpenAI APIs to integrate Large Language Models into application
RAG Systems
LLMs
Prompt Engineering
Hugging Face
OpenAI APIs
Vector Embeddings
AI Fellow
FuseMachines Nepal
April 2025 - December 2025
Kathmandu, Nepal
• Selected among top 200 AI Fellows from 3000+ applicants
• Did courses on Data Wrangling, Data Visualization and Presentation, Machine Learning Linear Models, Deep learning and many more, taught by industry experts
Machine Learning
Deep Learning
Data Visualization
Data Wrangling
AI Research
Achievements
View my complete collection of certifications and professional achievements.