Building machine learning products that move from idea to deployed system
I'm Bhim Prasad Adhikari, an aspiring Machine Learning Engineer focused on building AI-driven systems that solve real-world problems across agriculture, conversational AI, document workflows, and full-stack applications.
Machine Learning Engineer & Full-Stack AI Developer
Bhim Prasad Adhikari
Focused on applied AI, cloud deployment, and recruiter-ready case studies.
Career Objective
I am working toward machine learning engineering roles where I can contribute across the full product lifecycle: problem framing, model development, application integration, and cloud deployment. My experience combines deep learning, large language models, and full-stack engineering with a strong bias toward systems that are practical, scalable, and useful to real users.
Professional Summary
My recent work includes an AI-powered agriculture platform that uses a CNN for plant disease detection, Vertex AI for field insights, and Dialogflow CX for contextual farmer support. I have also built RAG chatbots with LangChain and Pinecone, multi-agent workflows with Google Document AI and Gemini, and production-ready web systems using Next.js, FastAPI, Node.js, and MongoDB.
I enjoy turning data and models into actionable products. If you are hiring for applied AI, conversational AI, ML infrastructure, or full-stack AI product roles, this portfolio is designed to make my work and experience easy to evaluate.
Skills & Expertise
Applied AI
Frontend Development
Backend Development
Data & Storage
Cloud Services
DevOps & Delivery
Relevant experience for recruiters
Professional Experience
Co-founder & CTO
Lagnever AI · 2025 - Present
Helping shape AI products for education and enterprise, translating product direction into practical technical execution and scalable system decisions.
Technical Writer
2024 - Present
Publishing articles on AI, machine learning, and web engineering with a focus on making complex ideas easier to understand and apply.
Selected Project Experience
AI-Powered Agriculture Platform
Personal Project · Next.js, TypeScript, MongoDB, Google Cloud, Vertex AI, Dialogflow CX, Pusher, Vercel
Built a production-oriented agriculture platform that detects plant diseases with a CNN, generates field insights with Vertex AI and LLM workflows, and answers farmer questions through a contextual chatbot.
View live platformRAG Chatbot with LangChain & Pinecone
Team Project · Node.js, Express, LangChain, Pinecone, Docker, Google Cloud Run
Developed a retrieval-augmented chatbot backed by Pinecone vector search, then containerized and deployed the query service on Google Cloud Run.
Multi-Agent RAG Chatbot
Personal Project · Python, FastAPI, Google Document AI, Gemini, Vector Search, Docker, Google Cloud Run
Built a multi-agent chatbot workflow that combines document extraction, Gemini-based reasoning, and containerized FastAPI services for deployment-ready query handling.
Multi-Merchant E-commerce Platform
Personal Project · Vue, MongoDB, GraphQL, Vendure, Stripe
Designed and developed a multi-vendor commerce platform with product listing, authentication, and order management capabilities across a shared storefront architecture.
Education
Bachelor of Technology in Computer Science & Engineering
CV Raman Global University, Bhubaneswar, Odisha, India
Specialization in Artificial Intelligence & Machine Learning · Ongoing (Expected Graduation: 2028)
+2 (Science Stream)
Tilottama Campus, Yogikuti-2, Tilottama, Rupandehi, Nepal
Year of passing: 2080 · GPA: 3.82 / 4.0
Secondary Education Examinations (SEE)
Mahamaya Bhawani Secondary School, Devdaha-4, Rupandehi, Nepal
Year of passing: 2078 · GPA: 3.96 / 4.0