Building at Dash Social
Luthira Abeykoon
Engineer building at the intersection of embedded software and machine learning. Currently stuying Electrical Engineering at the University of Toronto. Seeking summer 2026 internships/PEY.
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.
Primary workstudy cohort core memebr for self driving labs (training labs) of the 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
AutoGrid AI
Microgrid management with deep reinforcement learning
RLC.dev
Master Electrical Engineering with leetcode style questions
Zephron
RISC V Robot Arm with AXI communication and VGA dashboard.
A.I.M.
Artificially Intelligent Maps (w/ LLM powered Agentic Assistant)
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