Priyanka Regmi
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 1+ years in Generative AI & Machine Learning
I'm a Machine Learning Engineer with experience in building AI-powered applications — from RAG chatbots and LLM agents to voice pipelines and data workflows. I enjoy the full arc of a project: understanding a problem, experimenting with models, and shipping something that actually works in production. Most of my recent work has been in the GenAI space using LangChain and some on LangGraph, vector databases, and the OpenAI API, with Python as my main tool throughout. I'm looking for a junior role where I can keep growing, contribute meaningfully from day one, and work with people who care about building good AI products.
Tribhuvan University
Bachelor of Information Technology · Information Technology
August 1, 2020 – June 30, 2024
Panacea Solution Pvt. Ltd.
Data Science Instructor
December 1, 2025 – Present
Kathmandu, Bagmati Zone, Nepal
Palm Mind Technology Pvt. Ltd.
Machine Learning Engineer
July 1, 2025 – December 1, 2025
Kathmandu, Bagmati Zone, Nepal
Frost Digital Ventures
AI/ML Intern
August 1, 2024 – October 1, 2024
Kathmandu, Bagmati Zone, Nepal
Gokyo Labs
Python Developer Intern
October 1, 2023 – February 1, 2024
Lalitpur, Bagmati Zone, Nepal
RAG Agentic Chatbot
June 1, 2026 – Present
Built a production-style RAG chatbot integrating ReAct agents and tools to retrieve context from a vector store for accurate, grounded responses. Implemented Redis-based conversational memory, automated interview scheduling, and a FastAPI backend — demonstrating full-stack AI engineering.
View ProjectMCP Weather Alert Server
June 1, 2026 – Present
Developed an asynchronous MCP-based server using FastMCP and the National Weather Service (NWS) API for real-time weather alerts. Built a conversational client agent with LangChain, Groq LLMs, and persistent memory to interact with MCP tools through natural language.
View ProjectLLM Engineering: Master AI, Large Language Models & Agents
Udemy
June 1, 2026 – Present
Data Scientist in Python
DataCamp
June 1, 2026 – Present
Junior ML Engineer
Omdena
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a RAG Agentic Chatbot and MCP Weather Alert Server, shows a breadth of interest and application in AI. The experience spans various aspects of AI engineering, from core ML to GenAI and deployment, which aligns well with the dynamic nature of an AI Engineer role. However, the experience level is relatively junior, which might require additional mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's experience as a Data Science Instructor suggests strong communication and mentorship skills. Project descriptions indicate an ability to work on complex, multi-component systems, implying good problem-solving and operational thinking. The focus on 'shipping something that actually works in production' aligns with a results-oriented mindset.