Junior AI/ML Engineer Intern with less than a year in LLM agents & RAG pipelines
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Fourth-year Computer Engineering undergraduate at the University of Ruhuna, specializing in AI/ML Engineering and full-stack development. Currently interning at Codegen International as an AI/ML Engineering Intern, building production-grade LLM agents, RAG pipelines, and intelligent backend systems. Proven ability to design and deploy end-to-end AI solutions using LangChain, LangGraph, OpenAI, and vector databases, with a strong foundation in deep learning, DevOps, and scalable backend engineering.
University of Ruhuna
BSc (Hons) · Computer Engineering
August 1, 2022 – Present
Codegen International (Pvt) Ltd
AI/ML Engineering Intern
May 1, 2025 – November 1, 2025
Colombo, Western Province, Sri Lanka
AI-Powered Project Management Agent
January 1, 2024 – June 1, 2026
Engineered an intelligent PM system integrating LangChain, LangGraph, and OpenAI LLMs with the Model Context Protocol (MCP) to automate Jira workflow management and significantly boost team productivity. Architected a full-stack FastAPI backend with RESTful APIs for Jira integration – issue tracking, sprint management, epic handling, and worklog automation. Enabled natural language-driven project management by orchestrating AI agents that interpret complex instructions and execute multi-step Jira workflows autonomously.
View ProjectCareer Counseling System Hierarchical Multi-Agent Architecture
January 1, 2024 – June 1, 2026
Designed a hierarchical supervisor-worker multi-agent system using LangGraph and OpenAI GPT, featuring a Main Supervisor coordinating specialized sub-agents for personalised career planning. Engineered a human-in-the-loop conversational interface with personality assessment and real-time web research via DuckDuckGo for dynamic, context-aware career guidance. Deployed via FastAPI and Docker, enabling a scalable, production-ready architecture for end-to-end career counseling.
Anam Persona Chatbot with RAG System
January 1, 2024 – June 1, 2026
Built a production-ready conversational AI by integrating OpenAI GPT-4 with a custom Retrieval-Augmented Generation (RAG) pipeline for enhanced, context-aware responses. Engineered an automatic document processing pipeline: PDF ingestion → text chunking → vector embeddings using text-embedding-3-small, stored in ChromaDB.
View ProjectTraffic Prediction System using Advanced RNNs
January 1, 2023 – June 1, 2026
Developed a deep learning model predicting traffic volume across 4 major junctions with extensive data preprocessing and feature engineering to maximize accuracy. Trained and hyperparameter-tuned GRU and LSTM models per junction, producing accurate 24-hour traffic forecasts suitable for real-time intelligent traffic management.
View ProjectFood Ordering & Delivery Platform
January 1, 2023 – June 1, 2026
Built a full-stack MERN platform with user and hotel dashboards, authentication, cart management, and live order tracking for real-time delivery transparency. Implemented a complete CI/CD pipeline using Docker and Jenkins, automating build, test, and deployment as part of a DevOps engineering project.
NEIMS Nethu Education Institute Management System
January 1, 2023 – June 1, 2026
Developed a robust education management platform with secure authentication, role-based dashboards, class and announcement management, and payment gateway integration. Integrated live class broadcasting to enhance remote learning, ensuring seamless backend operations and an improved experience for educators and students.
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest in diverse AI/ML applications, from project management agents to career counseling and traffic prediction. Involvement in IEEE student branches and leadership roles indicates a collaborative spirit and engagement within the academic community. The internship at Codegen International aligns well with industry exposure. This breadth of experience and proactive engagement suggests a good cultural fit for a dynamic and innovative team.
Soft Skills & Operational Fit
The candidate's resume highlights leadership and project management skills through extracurricular activities, which are valuable for operational fit. Communication skills are implied through detailed project descriptions, though not directly assessed. The candidate's academic background and project diversity suggest a proactive and collaborative approach.