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Nadeesha

DevOps, AI Integration & Embedded Systems

Computer Science & Engineering undergraduate, University of Moratuwa

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About

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Nadeesha Jayamanne

I build systems that have to work in the physical world.

I am a Computer Science & Engineering undergraduate at the University of Moratuwa, specialising in Integrated Computer Engineering. My work sits where infrastructure, AI and embedded systems meet: containerised build and deploy pipelines, multi-agent LLM systems, and low-latency services that cannot afford to be slow or wrong.

I have shipped a five-agent LangGraph decision engine, written a sub-millisecond Rust execution engine co-located beside its exchange, and built a Docker image that runs a full simulation stack so a national robotics competition could develop against real hardware. Alongside that: custom PCBs, autonomous drones and firmware that has to survive the physical world.

I like problems that force several disciplines into the same room: a deployment that is also a latency problem, an agent pipeline that is also a correctness problem, a robot that is also a manufacturing problem.

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Years building robots

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Projects & builds

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Tools & technologies

The engineering archive

nadeeshanj.dev

Full write-ups of everything here: the architecture, the decisions behind it, and the parts that broke along the way.

Skills & Expertise

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DevOps & Infrastructure

Docker & containerised sandboxesGitHub Actions / Argo CDAWS EC2 / CloudflareCI/CD pipelinesLinux & shell tooling

AI Integration

LLM agent pipelines (LangGraph)PyTorch / model fine-tuningMachine vision & OpenCVSimulation & modellingQuantitative analysis

Systems & Software

PythonC / C++RustTypeScript / React / Next.jsSQL / PostgreSQLGit

Embedded & Hardware

PCB design & bring-upSTM32 / ESP32 firmwareArduPilot / MAVLink / PixhawkROS 2FPGA / Verilog (Basys 3)Sensor fusion

Selected Work

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The builds I keep coming back to. Full write-ups, architecture and the parts that broke live on nadeeshanj.dev.

ForgeFlow: Multi-Agent Decision Engine (1 of 3)1/3
012026AI / Agents

ForgeFlow: Multi-Agent Decision Engine

A structured AI decision system that turns a rough idea into a stress-tested plan. Five LangGraph agents, Assessor, Clarifier, Planner, Stress Tester and Synthesizer, with a dedicated adversarial stage so plans survive criticism before they reach you.

BitCo: Low-Latency Trading Engine (1 of 2)1/2
022026Systems / Quant

BitCo: Low-Latency Trading Engine

A Rust execution engine for Polymarket BTC markets. Co-located on AWS beside the exchange (0.9 ms ping), sub-millisecond tick-to-order, and a risk manager that can veto every entry.

Autonomous Drone Platform for IESL RoboGames (1 of 6)1/6
032025 to 2026Robotics / UAV

Autonomous Drone Platform for IESL RoboGames

A Pixhawk and Raspberry Pi UAV platform, plus a Docker image that runs Webots and ArduPilot SITL together, so competitors get a simulation-like development loop on real hardware.

Custom PCB Line Following Robot for IESL RoboGames 2026 (1 of 3)1/3
042026Hardware

Custom PCB Line Following Robot for IESL RoboGames 2026

A line-following, distance-sensing ATmega328 robot designed for mass production: one board that school teams across the IESL RoboGames school category could build and repair.

LYNX & LYNX V2: MicroMouse (1 of 7)1/7
052018, 2025 to 2026Robotics

LYNX & LYNX V2: MicroMouse

A maze-solving MicroMouse across two generations. LYNX was the original build; LYNX V2 rebuilds it on a fully custom PCB with ESC-driven brushless motors and a purpose-built gear train, adding line following, colour detection and object handling.

Emergence Lab: Agent Simulations (1 of 3)1/3
062026Simulation

Emergence Lab: Agent Simulations

Eight in-browser complex-system simulations: flocking, ant colonies, predator-prey, N-body gravity, epidemics, with live parameter control and Web Worker compute.

Battlebot: LYNX (1 of 9)1/9
072025Robotics / Hardware

Battlebot: LYNX

A combat robot built around a high-RPM, high-torque horizontal spinning blade, with the chassis and drive designed to stay controllable under the recoil and gyroscopic loads a spinner generates.

Education

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2023 to Present

BSc Engineering (Hons), Computer Science & Engineering

University of Moratuwa, Sri Lanka

Specialising in Integrated Computer Engineering. CGPA 3.58. Coursework across digital design, computer architecture, databases, networks and machine learning.

2022

G.C.E. Advanced Level, Physical Science

Maliyadeva College, Kurunegala

Physics (A), Chemistry (A), Combined Mathematics (A). Z-score 2.6052.

Contact

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Let's build
something real

Recruiting / applications

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