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Machine Learning Engineer with less than a year in AI/ML & Data Engineering
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Software Engineering undergraduate specializing in AI/ML, Generative AI, and Data Engineering. Experienced in building end-to-end AI applications including LLM agents, RAG systems, machine learning models, and deployed AI solutions using Python, PyTorch, TensorFlow, and modern AI frameworks.
Sabaragamuwa University of Sri Lanka
BSc (Hons) · Software Engineering
August 1, 2022 – June 30, 2026
KN/Kilinochchi Hindu College
G.C.E Advanced Level · Combined Mathematics, Physics, ICT
N/A – May 31, 2020
Sydpro Pvt Ltd
Intern Data Scientist – Qualitative Analysis & AI
August 1, 2025 – March 1, 2026
Colombo, Western Province, Sri Lanka
AryaLabs Pvt Ltd
Intern Data Science Developer
April 1, 2025 – September 1, 2025
India
Video Note Extractor
May 1, 2026 – June 1, 2026
Developed an AI-powered application that converts YouTube videos into structured notes, key timestamps, and actionable tasks. Implemented audio extraction using yt-dlp and local speech transcription using OpenAI Whisper. Integrated Groq API to generate concise summaries and actionable insights from video content.
View ProjectAI Research Agent
February 1, 2026 – March 1, 2026
Built multi-node AI agent workflow using LangGraph (agent to tools to synthesizer) with tool calling and RAG integration. Developed LLM application in production-style environment with prompt engineering, memory, and context management. Integrated Tavily web search and FAISS-based RAG pipeline for grounded responses. Applied guardrails for prompt injection detection, hallucination control, and output validation.
View ProjectCropShield (Plant Disease Detection)
February 1, 2026 – March 1, 2026
Fine-tuned EfficientNetBo achieving 99.64% validation accuracy. Built and deployed async FastAPI-based ML inference service. Performed AI system optimization (latency reduction) using ONNX Runtime (16x speed improvement). Dockerized and productionized inference pipeline.
View ProjectRAG Chatbot
February 1, 2026 – March 1, 2026
Built end-to-end RAG pipeline for document-based QA with embedding, retrieval, and response synthesis. Implemented chunking and embedding using Sentence Transformers with cosine similarity retrieval. Designed scalable LLM application in production-like setup with contextual responses and source citation.
View ProjectMLOps Pipeline (House Price Prediction)
February 1, 2026 – March 1, 2026
Designed end-to-end MLOps pipeline tracking 6 ML models (LightGBM, XGBoost, Random Forest) with MLflow, logging params, metrics, and artifacts. Registered best model (LightGBM, R2=0.8513) in MLflow Model Registry across 3 lifecycle stages (archived/staging/production). Built automated retraining pipeline using MD5 hash-based data change detection, eliminating manual monitoring. Implemented data drift monitoring using PSI and KS Test; built Streamlit dashboard visualizing experiment runs, registry, and drift metrics.
View ProjectCustomer Churn Predictor
January 1, 2026 – February 1, 2026
Built end-to-end ML classification app on 7,043 telecom records achieving ROC-AUC of 0.832. Handled class imbalance using SMOTE; compared 6 models – Logistic Regression outperformed XGBoost on this dataset. Deployed as a live interactive risk scoring web app using Streamlit.
View ProjectLLM-Based Query and Content Generator using Vertex AI and Gemini 2.5 Pro
May 1, 2025 – June 1, 2025
Built chatbot using Vertex AI and Gemini for real-time content generation. Designed scalable cloud-based inference for LLM applications in production.
View ProjectData Scientist Associate
DataCamp
February 1, 2026 – Present
AI Engineer for Data Scientists Associate
DataCamp
February 1, 2026 – Present
Diploma in Using Python for Data Science
Alison
April 1, 2025 – Present
Fundamentals of Machine Learning and Artificial Intelligence
AWS
April 1, 2025 – Present
Oracle Data Platform 2025 Foundations Associate
Oracle
April 1, 2025 – Present
Data Science and Analytics
HP Life
January 1, 2025 – Present
30 Days Data Analytics Masterclass
Navitech
January 1, 2025 – Present
Foundations in Machine Learning
Microsoft Plus
July 1, 2024 – Present
Master in Data Warehouse and Data Visualization
Udemy
June 1, 2024 – Present
Machine Learning with Python
Coursera
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and practical application across various domains within Machine Learning and AI, including Generative AI, MLOps, and traditional ML. The diversity of projects (AI Research Agent, CropShield, MLOps Pipeline, Customer Churn Predictor) indicates adaptability and a broad skill set. The target role of Machine Learning Engineer aligns well with the candidate's demonstrated project experience and stated specialization. The candidate's proactive pursuit of certifications further supports a strong cultural fit for a learning-oriented and technically driven environment.
Soft Skills & Operational Fit
The candidate's resume highlights strong technical proficiency, independent working ability, and effective collaboration. They are recognized for dedication, enthusiasm, rapid learning ability, and proactive initiative, which are positive indicators for operational fit and teamwork. The project descriptions are detailed, suggesting good communication of technical work.