Isuru (IG) Chathuranga
AI/ML Engineer
I Ship AI Systems That Actually Work in Production. Building production-first ML systems with PyTorch, LangChain, and MLOps expertise. Not just models—deployed systems that scale.
Core Tech Stack
About Me
Shipping AI That Works in Production
Most AI engineers can train models. I deploy them at scale, monitor performance, and fix them when they break. That's the difference.
Third year at University of Colombo (IT & Management Hons | Applied Statistics & Data Science), building production AI systems where statistical rigor meets MLOps and AIOps.
I focus on AI systems that actually work in production—not just notebook demos. From multi-agent LangChain architectures to automated MLOps pipelines with drift detection, I build systems that handle real traffic and self-heal when things break.
Open source contributor to LangChain, PyTorch, Hugging Face Transformers, and MLflow—helping thousands of ML engineers deploy reliable systems at scale.
Education
BSc IT & Management (Hons)
University of Colombo
3rd Year • 2023-2027BIT, UCSC (2023-2026)
Location
Colombo, Sri Lanka
Remote Ready
Availability
Open to Remote Opportunities
Full-time • Freelance • Collaborations
Focus Areas
LLM Engineering • Multi-Agent Systems
MLOps/AIOps • Production ML
Tech Stack
AI/ML Technology Arsenal
Production ML tools and frameworks I use to build intelligent systems
35+
AI/ML Technologies
12
Production Ready
6
Frameworks Mastered
★★★★ Proficient - Production experience | ★★★ Intermediate - Active learning | ★★ Familiar - Working knowledge
Showing 33 of 33 technologies
PyTorch
Proficient
Primary DL Framework
TensorFlow
Intermediate
Neural Networks
Keras
Intermediate
High-Level API
PEFT (LoRA)
Intermediate
Model Fine-Tuning
LangChain
Proficient
Multi-Agent Orchestration
Transformers
Intermediate
Pre-trained Models
OpenAI API
Intermediate
GPT Integration
Anthropic Claude
Intermediate
Claude API
Pinecone
Familiar
Vector Database
FastAPI
Proficient
ML API Development
Docker
Proficient
ML Containerization
Kubernetes
Intermediate
Model Orchestration
MLflow
Intermediate
Experiment Tracking
Weights & Biases
Intermediate
ML Monitoring
DVC
Familiar
Data Version Control
Git
Proficient
Version Control
GitHub
Proficient
Code Collaboration
Redis
Familiar
Feature Store/Cache
ONNX
Familiar
Model Optimization
GCP (Vertex AI)
Intermediate
ML Deployment
AWS (SageMaker)
Intermediate
ML Services
Azure ML
Familiar
ML Platform
Python
Proficient
Primary Language
scikit-learn
Proficient
Classical ML
Pandas
Proficient
Data Manipulation
NumPy
Proficient
Numerical Computing
Jupyter
Proficient
Interactive Notebooks
XGBoost
Intermediate
Gradient Boosting
R
Intermediate
Statistical Analysis
Plotly
Intermediate
Interactive Viz
PostgreSQL
Intermediate
Data Storage
MongoDB
Intermediate
Document DB
VS Code
Proficient
Development
Continuously expanding expertise through production projects and open source contributions
Portfolio
Production ML Systems
AI systems deployed at scale with real business impact
Sri Lankan Market Intelligence Agent
AI-powered market intelligence system analyzing Sri Lankan economic indicators
Challenge
Needed real-time market intelligence system to analyze complex economic data from multiple sources with automated insights.
Solution
Built multi-agent LangChain system with custom RAG architecture, safe calculator tools, and intelligent market analysis capabilities.
Key Results
- Production-ready LangChain agent implementation
- Real-time processing of economic indicators
- Safe AST-based calculator integration
- Intelligent query handling with RAG
Multi-Modal Crypto Intelligence System
AI-powered trading signal generator with multi-agent architecture
Challenge
Crypto markets require real-time sentiment analysis from multiple sources with sub-second latency for actionable trading signals.
Solution
Developed multi-agent system with Whale Tracker, Orderbook Analyzer, Sentiment Analyzer, and LLM Coordinator for comprehensive market analysis.
Key Results
- Multi-agent architecture with 4 specialized agents
- Real-time trading signal generation
- WebSocket support for live updates
- Docker-ready deployment with Redis caching
ML Monitoring System
Production-ready ML monitoring with automated drift detection and real-time dashboard
Challenge
Production ML systems need automated drift detection, intelligent alerting, and self-healing capabilities.
Solution
Built comprehensive MLOps pipeline with model drift detection, automated retraining triggers, real-time dashboard, and performance monitoring.
Key Results
- Automated model drift detection
- Real-time monitoring dashboard
- Self-healing pipelines with alerts
- Docker-ready with CI/CD integration
Fraud Detection System
End-to-end ML system predicting fraudulent transactions with production deployment
Challenge
Built complete ML pipeline from feature engineering to production deployment with automated drift detection.
Solution
Developed end-to-end system with feature engineering, model training, deployment, and continuous monitoring.
Key Results
- End-to-end ML pipeline from features to production
- Drift detection and automated retraining
- Business-validated predictions
- Production deployment with monitoring
Open Source Contributions
Contributing to leading AI/ML frameworks used by thousands worldwide
Challenge
Improving production ML tools and frameworks for the broader ML community.
Solution
Active contributions to LangChain, PyTorch, Hugging Face Transformers, and MLflow. Focus on production-ready implementations and documentation.
Key Results
- Contributions to LangChain, PyTorch, Hugging Face, MLflow
- Production-ready examples and tutorials
- Code quality and documentation improvements
- Supporting thousands of ML engineers
Preview Coming Soon
LLM Fine-Tuning Framework
Production-ready LoRA/QLoRA fine-tuning with automated deployment
Challenge
Need scalable framework for fine-tuning LLMs on domain-specific tasks with automated retraining and deployment optimization.
Solution
Building production-ready fine-tuning framework using LoRA/QLoRA techniques with automated retraining pipelines and deployment optimization.
Key Results
- Automated fine-tuning pipelines
- LoRA/QLoRA optimization
- Deployment-ready models
- Domain-specific task optimization
Preview Coming Soon
Physics-Informed Neural Networks
Extreme weather prediction using PyTorch with meteorological constraints
Challenge
Developing PINN models that incorporate physical laws for accurate extreme weather forecasting in Sri Lankan context.
Solution
Building PyTorch-based PINN system integrating meteorological physics constraints for improved weather prediction accuracy.
Key Results
- Integration of physics constraints in neural networks
- Focus on extreme weather events
- Sri Lankan meteorological context
- Research-backed approach
Experience
Production AI/ML Journey
Open Source Contributor
Open Source Community • Remote
Contributing to leading AI/ML open-source projects to advance production machine learning tools and frameworks. Focus on improving code quality, documentation, and real-world implementations across the LLM and MLOps ecosystem.
Key Contributions:
- •LangChain - Enhancing multi-agent system implementations, improving RAG architecture examples, and fixing bugs in core chain orchestration modules
- •PyTorch - Contributing to deep learning tutorials, test coverage improvements, and documentation clarity for production deployment patterns
- •Hugging Face Transformers - Adding model integration examples, improving tokenizer documentation, and optimizing inference code paths
- •MLflow & MLOps Tools - Enhancing production ML tracking capabilities, adding deployment examples, and improving monitoring integrations
Freelance AI Engineer
Self Employed • Remote
Building production-ready AI/ML systems for diverse applications including market intelligence, predictive analytics, and multi-agent architectures. Specializing in LangChain-based systems, PyTorch deep learning, and end-to-end MLOps pipelines deployed on cloud infrastructure.
Key Projects:
- •AI-Powered Sri Lankan Market Intelligence Agent - Multi-agent RAG system analyzing economic indicators with automated monitoring on GCP
- •Telco Churn Prediction Pipeline - End-to-end ML system from feature engineering to production deployment with drift detection
- •Multi-Agent Crypto Market Analyzer - Real-time sentiment orchestration with sub-2s latency and AIOps integration
- •Deployed production ML systems on AWS, GCP, and Azure with monitoring and self-healing capabilities
BSc IT & Management Student
University of Colombo • Colombo, Sri Lanka
Third-year student specializing in Applied Statistics & Data Science, with focus on production ML systems. Building AI systems where statistical rigor meets MLOps and AIOps. Also pursuing BIT at University of Colombo School of Computing (Oct 2023 - Oct 2026).
Academic Focus:
- •Specialization: Applied Statistics & Data Science
- •Focus: Machine Learning Engineering & Production ML Systems
- •Research: Statistical Programming & ML Theory
- •Additional: BIT at UCSC (2023-2026)
Blog & Articles
Latest Insights & Technical Writing
Certifications
Validated AI/ML Expertise
20+ industry-recognized certifications in AI, ML, and production systems
20+
Certifications
8
Providers
5
Categories
Recent
Nov-Dec 2025
Showing 20 of 20 certifications
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle
AI Engineer for Data Scientists Associate
DataCamp
Python Data Associate
DataCamp
Deep Learning with PyTorch: Image Segmentation
Coursera
Sentiment Analysis with Deep Learning using BERT
Coursera
Introduction to Deep Learning with PyTorch
DataCamp
Model Context Protocol (MCP): Hands-On with Agentic AI
LinkedIn Learning
Working with Hugging Face
DataCamp
Securing Generative AI
Pearson
MLOps Essentials: Model Development and Integration
LinkedIn Learning
Learning Docker
LinkedIn Learning
Astronomer Certification DAG Authoring for Apache Airflow 3
Astronomer
Astronomer Certification for Apache Airflow 3 Fundamentals
Astronomer
Machine Learning with Python
IBM
The Nuts and Bolts of Machine Learning
Supervised Learning with scikit-learn
DataCamp
Unsupervised Learning in Python
DataCamp
Regression Models
Johns Hopkins University
Understanding Bias in AI
LinkedIn Learning
Portfolio Optimization using Markowitz Model
Coursera
Get In Touch
Let's Build Production AI Together
Open to remote AI/ML roles, freelance projects, and collaborations on production systems
Currently seeking:
- •Remote AI/ML Engineering roles
- •LLM engineering & multi-agent systems
- •MLOps/AIOps infrastructure positions
- •Production ML pipeline development
- •Open source collaborations
isuruigic@gmail.com
Phone
+94 77 050 0424
Location
Colombo, Sri Lanka
Remote Ready • Available Globally
Response Time
Within 24 hours
Usually faster for interesting projects