Building HackerFab
Luthira Abeykoon
I like making cool stuff, sometimes it’s electronics, sometimes it’s software, usually a mix of both. Into blending tech with creativity and seeing where it goes. Currently studying Electrical Engineering at the University of Toronto.
Work
Data Foundation team,maintaining scalable data infrastructure, pipelines, and workflows for big data processing.
Developed forecasting models for solar and wind energy generation using Transformer architecture, and built API-driven data pipelines to support a deep reinforcement learning agent.
Pioneer workstudy SDL training labs team for Global Materials Discovery Lab team, building smart data pipelines to automate temperature control in next-gen material experiments
Core ERP software infrastructure team, autonomous OCR reciept proceeing and inventory management.
Simulations and data analytics for single-fiber action potential nerve propagation through non-invasive saphenous nerve stimulation for overactive bladder treatment.
Built OCR data pipelines automating manual data entry for 100,000+ land registry pins. (LRO #66)
Projects
Hackerfab
Making chips and transistors from the ground up.
AutoGrid AI
Microgrid management with deep reinforcement learning
DeepMetal
Compiler for high-level ML libraries to run your models on edge.
Zephron
RISC V Robot Arm with AXI communication and VGA dashboard.
A.I.M.
Artificially Intelligent Maps (w/ LLM powered Agentic Assistant)
Neural Signal Propagation Simulations
Single fiber action potential in the saphenous nerve.
Go Fish
Internal semantic retrieval system using Transformer-based dense embeddings and RAG
Weave
The app that remembers names so you don't have to — never say "who was that again?" ever again