I am a dynamic and results-driven Machine Learning Engineer with three years of hands-on experience specializing in Python, AI/ML-driven applications, and robust deep learning solutions. My expertise lies in computer vision, real-time systems, and scalable ML pipelines. I am passionate about bringing innovation and expertise to create impactful AI solutions. I excel at building and optimizing machine learning models, performing extensive feature engineering, data preprocessing, and model evaluation. Experienced in integrating deep learning architectures with various databases for scalable AI systems, I am committed to continuous learning and applying the latest research and best practices in AI and machine learning.

Pasindu Bimsara

I am a dynamic and results-driven Machine Learning Engineer with three years of hands-on experience specializing in Python, AI/ML-driven applications, and robust deep learning solutions. My expertise lies in computer vision, real-time systems, and scalable ML pipelines. I am passionate about bringing innovation and expertise to create impactful AI solutions. I excel at building and optimizing machine learning models, performing extensive feature engineering, data preprocessing, and model evaluation. Experienced in integrating deep learning architectures with various databases for scalable AI systems, I am committed to continuous learning and applying the latest research and best practices in AI and machine learning.

Available to hire

I am a dynamic and results-driven Machine Learning Engineer with three years of hands-on experience specializing in Python, AI/ML-driven applications, and robust deep learning solutions. My expertise lies in computer vision, real-time systems, and scalable ML pipelines. I am passionate about bringing innovation and expertise to create impactful AI solutions.

I excel at building and optimizing machine learning models, performing extensive feature engineering, data preprocessing, and model evaluation. Experienced in integrating deep learning architectures with various databases for scalable AI systems, I am committed to continuous learning and applying the latest research and best practices in AI and machine learning.

See more

Experience Level

Expert
Expert
Expert
Expert

Work Experience

Data Scientist at Veracity Group
July 1, 2025 - August 5, 2025
Developed and optimized AI agents including self-RAG and adaptive RAG by leveraging advanced ML models to significantly enhance information retrieval accuracy and efficiency for diverse business applications. Collaborated on the Kavia AI project to build HR, finance, and researcher agents automating project management workflows by 45% integrating advanced ML-driven decision logic. Integrated RAG solutions with graph and relational databases including Neo4j, PostgreSQL, Supabase, and MongoDB. Automated data ingestion pipelines reducing manual efforts by 70%. Applied machine learning algorithms and advanced statistical analysis to solve complex business problems enhancing decision-making processes. Leveraged the LlamaIndex Multi-Agent Platform to develop scalable sales and HR agents for the Knowledge Management System streamlining data processing and retrieval. Developed conversational agents for different departments and integrated RAG-based retrieval information demonstrating NLP and i
Machine Learning Engineer at Dialog Axiata PLC
September 1, 2023 - August 5, 2025
Collaborated with product and engineering teams to deploy scalable machine learning models for real-time applications. Cleaned and preprocessed large datasets for model training using NumPy and Pandas. Developed and optimized computer vision models using YOLO V5, YOLO V8, MediaPipe, and OpenCV for applications including real-time object detection and human pose estimation. Led the development of a real-time Personal Workout Trainer system capable of recognizing exercise actions, counting repetitions, and predicting calories burned. Utilized MediaPipe for accurate human body joint tracking capturing high-dimensional coordinated data in real-time. Implemented a Long Short-Term Memory (LSTM) model to classify different exercises based on temporal sequences of joint movements. Developed and trained an XGBoost regression model on smartwatch data to provide accurate real-time calorie predictions. Demonstrated expertise in human action recognition using LSTM technology.

Education

BSc (Hons) Information And Communication Engineering at Sri Lanka Technological Campus
January 1, 2019 - January 1, 2023
G.C.E. A/L physical scheme at R/Gamini Central College
January 1, 2003 - January 1, 2016

Qualifications

Certified Data Scientist by Micro 1 (Passed Micro 1's AI interview)
January 11, 2030 - July 1, 2025
ClickUp Expert Certificate Exam
January 11, 2030 - October 23, 2024
AWS Academy Graduate: AWS Academy Cloud Architecting
January 11, 2030 - June 28, 2023
Advanced Learning Algorithms by Deep Learning.AI & Stanford University
January 11, 2030 - February 25, 2023
Supervised Machine Learning: Regression and Classification
January 11, 2030 - September 19, 2022
Completed Python course at the University of Moratuwa
January 11, 2030 - October 1, 2022
Google Cloud Fundamentals: Core Infrastructure
January 11, 2030 - August 16, 2021
Front-End Web UI Frameworks and Tools: Bootstrap 4
January 11, 2030 - December 17, 2021

Industry Experience

Software & Internet, Telecommunications, Financial Services, Professional Services, Education