YASINDU NANAYAKKARA
Multidisciplinary Tech Specialist | Electronics, Telco & Software
Location: Sri Lanka

CONTACT
LinkedIn: https://www.linkedin.com/in/yasindu
GitHub:   https://github.com/yazindu

SUMMARY
Over the past 6+ years, I have built my career by embracing steep learning
curves. My journey from electronics manufacturing and embedded systems to
telecommunications and software gives me an end-to-end perspective on how
complex systems connect. I thrive on solving technical challenges and take
pride in mentoring others and collaborating with my team to build solid
solutions.

CORE STRENGTHS
- End-to-end product delivery across software + hardware boundaries
- Reliability engineering, testing discipline, and operational ownership
- Low-level debugging (embedded/firmware) and high-level system design
- Strong use of AI tools while keeping human ownership of architecture,
  validation, and production decisions

EXPERIENCE HIGHLIGHTS
- Metarune Labs (2023-Present): full-stack development, testing, data
  pipelines, automation, and product engineering
- Sri Lanka Telecom (2021-2025): submarine cable landing station
  operations, maintenance, and SLA-focused incident handling
- CodeGen International (2019-2021): EV charger engineering, production
  QA, diagnostics, and deployment support

PROJECTS
1) Real-Time Power Monitoring (Schneider PM1200, 2022-2023)
- Built a monitoring system for submarine cable station power meters using
  Raspberry Pi + Modbus RTU + MySQL + Chart.js
- Delivered real-time visibility and 2+ years of production operation

2) Remote SIM Provisioning Research (2017-2018)
- Reconstructed SIMtrace hardware, built ARM cross-compilation toolchain,
  and modified low-level firmware for SIM communication analysis
- Developed deep hardware-software debugging capability

3) Effici - Focus Timer & Eye Health Productivity App (2026)
- Built an Android app end-to-end with Kotlin + Jetpack Compose
- Added Appium-based smoke/regression checks and prepared it for production release

4) INCO Competition Robotics (2017-2018)
- Built firmware and control systems for competition robots
- Applied computer vision + embedded control under tight constraints

Updated: April 2026