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DinethHettiarachchi
Dineth Hettiarachchi
AI/ML Engineer
I'm Dineth, an AI/ML engineer focused on shipping production-ready systems: RAG pipelines, ML infrastructure, and developer-facing AI tools that work beyond the demo stage.
Currently building AI for education at @BrainUs LK while finishing my CS degree at @University of Plymouth. My work spans retrieval architecture, backend APIs, and ML workflows.
Open to AI/ML engineering and applied AI roles where the goal is systems that are reliable, explainable, and actually used.
GitHub Contributions
Experiences
- Building AI-powered learning systems for Sri Lankan O/L and A/L students, focused on curriculum-grounded question answering and educational support.
- Architected a RAG-based retrieval pipeline with citation-aware answers using official curriculum documents and structured educational content.
- Developed backend APIs and AI service workflows using Python, FastAPI, and modern LLM tooling.
- Contributed across product design, frontend implementation, backend engineering, and go-to-market strategy.
PythonFastAPIRAGLLMsVector SearchTypeScriptNext.jsProduct EngineeringAI Product Design
Projects
Skills & Technologies
Services
AI/ML Solutions
Machine LearningEnd-to-end ML systems - data pipelines, model training with PyTorch or TensorFlow, experiment tracking, and production deployment with FastAPI and Docker. MLOps-focused engineering, not demo projects.
Full Stack Development
Web DevelopmentWeb applications and APIs built for ML and data products. React/Next.js frontends, FastAPI backends, PostgreSQL optimisation, and cloud deployment with CI/CD.
AI Chatbot & Automation
AutomationProduction RAG chatbots and LLM-powered automation pipelines. Retrieval-augmented generation, vector databases, LangChain/LlamaIndex, and workflow automation.
Design & Presentations
DesignTechnical presentation design and visual communication for AI, data, and SaaS products. Pitch decks, UI/UX prototypes, and brand identity that make complex ideas clear.
Client Feedback
+ Add YoursBlogs
Building a Full-Stack ESP32 IoT Project for Smart Beehive Monitoring
How I built a complete smart beehive monitoring system end-to-end: ESP32 firmware with environmental and activity sensors, solar-powered edge deployment, Firebase Realtime Database sync, and a React TypeScript dashboard for live hive metrics, bee traffic, weight tracking, GPS, and alerts.
ESP32IoT+314 min read
ReadBuilding a Full-Stack ESP32 IoT Project for Smart Beehive Monitoring
How I built a complete smart beehive monitoring system end-to-end: ESP32 firmware with environmental and activity sensors, solar-powered edge deployment, Firebase Realtime Database sync, and a React TypeScript dashboard for live hive metrics, bee traffic, weight tracking, GPS, and alerts.
ESP32+414 min read
Read
I Built a TPU You Can Watch Run: Every Signal in Real Time
A hands-on engineering breakdown of TinyTPU, a visual TPU simulator that shows matrix multiplication, systolic arrays, chip signals, and AI accelerator behavior in real time.
TPU SimulationAI Accelerators+310 min read
ReadI Built a TPU You Can Watch Run: Every Signal in Real Time
A hands-on engineering breakdown of TinyTPU, a visual TPU simulator that shows matrix multiplication, systolic arrays, chip signals, and AI accelerator behavior in real time.
TPU Simulation+410 min read
Read
I Built a Tiny GPU Simulator to See What Happens When Threads Execute in Parallel
A hands-on engineering breakdown of TinyGPU, a small GPU simulator that visualizes how threads, warps, memory, and parallel execution work inside GPU-style systems.
GPU SimulationParallel Computing+310 min read
ReadI Built a Tiny GPU Simulator to See What Happens When Threads Execute in Parallel
A hands-on engineering breakdown of TinyGPU, a small GPU simulator that visualizes how threads, warps, memory, and parallel execution work inside GPU-style systems.
GPU Simulation+410 min read
ReadCertifications
Education
- Affiliated UK degree program delivered via NSBM Green University, with an applied AI/ML focus from theory to deployable systems.
- Built ML models in Python, designed data pipelines, and deployed cloud/API-integrated solutions.
- Hands-on work with IoT systems and end-to-end model delivery.
Computer SciencePythonAI/MLData PipelinesMLOpsIoT SystemsCloud APIs
Supporters
My local time · Colombo, Sri Lanka
00:00:00PM
responds within ~2h
Available now
Let's connectwhile I'm here.
AI/ML Engineer · Full-stack Developer.
Remote-first · detail-obsessed · fast turnaround.
SRI LANKA · REMOTE · WORLDWIDE// tap heading to cycle// click heading to cycle
"Do so much work that it would be unreasonable for you to not be successful."
Alex Hormozi