Udith Weerasinghe
@udithweerasinghe1
AI-focused ML engineering enthusiast passionate about developing AI systems.
What I'm looking for
I am a Machine Learning Engineer Trainee with a strong focus on developing and scaling agentic AI systems. My experience includes architecting and deploying LLM-driven generative AI models, optimizing retrieval and relevance, and creating AI-first user experiences. I thrive in fast-paced, cross-functional teams and have demonstrated academic excellence through various internships and projects.
Currently pursuing a Bachelor of Science in Engineering, specializing in Electronic and Telecommunication Engineering, I have a solid foundation in machine learning, data structures, and algorithms. My projects, such as the Enterprise Knowledge Digitization and Management system, showcase my ability to drive end-to-end model development and deployment, ensuring continuous improvement in research-intensive environments.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer Trainee
Syntax Genie (Pvt.) Ltd.
Nov 2023 - May 2024 (6 months)
Architected, fine-tuned, and deployed LLM-driven generative AI models for Question Answering and Business Insights Generator components in IntelliScript 1.0, incorporating prompt engineering and RAG pipelines. Monitored performance, reduced latency, and released models via Azure ML Endpoints with FastAPI and Git workflows, while also developing the user interface for the chatbot and backend commun
Education
Degrees, certifications, and relevant coursework
University of Moratuwa
Bachelor of Science (Honours) in Engineering, Electronic and Telecommunication Engineering
Grade: 3.42/4.20
Activities and societies: SIG Project Manager of the Spark Branch, Electronic Club; Committee Member – Logistics, Stridian; Mora Hiking Club.
Specialized in Electronic and Telecommunication Engineering with a minor in Mathematics. Achieved a CGPA of 3.42/4.20 and was recognized on the Dean’s List for Semester 6, with First-Class GPAs in Semesters 1, 6, and 7. Focused on Computer Vision and Pattern Recognition, covering subjects like Data Structures and Algorithms, Deep Learning for Vision, and Neural Networks.
St. Sylvester’s College, Kandy
G.C.E. Advanced Level, Physical Science
Grade: AAAA
Completed G.C.E. Advanced Level in the Physical Science Stream, achieving AAAA grades. Ranked 15th in Kandy District and 230th island-wide, placing within the top 0.8% of candidates.
Esoft Metro Campus, Kandy
Diploma in IT and E-Commerce, Information Technology and E-Commerce
Completed a Pearson Assured Diploma in IT and E-Commerce. Also obtained a Pearson Assured Diploma in English and a Certificate in C++ Programming.
Tech stack
Software and tools used professionally
Postman
Apache Spark
AWS Glue
Amazon EC2
Microsoft Azure
Google Cloud Platform
Amazon S3
GitHub
GitHub Actions
NumPy
Pandas
PySpark
MySQL
PostgreSQL
Gmail
.NET
OpenCV
Visual Studio
WebGL
JavaScript
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Streamlit
NLTK
FastAPI
Debian
Linux
AWS Lambda
Serverless
pytest
Visual Studio Code
Amazon Web Services (AWS)
Hugging Face
Availability
Location
Authorized to work in
Job categories
Skills
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