Ali Esat Gungor

Istanbul

Ali Esat Gungor

Autonomous vehicle deployment intern and Naval Architecture & Ocean Engineering student at ITU. I do hands-on SAE Level 4 commissioning: sensor calibration, field diagnostics and ODD validation. I also write my own route risk and point cloud tools, and co-founded Ufka Tech.

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Work

ADASTEC Corp.

Autonomous Vehicle Deployment intern (long-term intern)
Dec 2024 – present · International & remote

  • Level 4 fleet deployment. On-site commissioning, route validation, depot manoeuvres and autonomous road testing & operation of SAE Level 4 buses in Sweden, Switzerland, Germany, the Netherlands, Romania and Turkey.
  • Sensor integration and calibration. Vehicle-level extrinsic calibration, subnet configuration and time synchronisation for 3D LiDARs (Velodyne, Hesai, Ouster), HDR cameras and RTK GNSS/IMU units.
  • Field diagnostics. Drive-by-wire anomalies, SteerMap offsets, CAN bus faults and communication bottlenecks in live operation, using ROS / ROS 2 and Linux.
  • Compute and storage. Root-caused recurring fstrim stalls that blocked start-up on vehicle compute units. Ruled out thermal throttling, fragmentation and drive wear with SMART, iostat and e2freefrag, then applied a workaround.
  • Point cloud QA and HD maps. Inspected live point clouds, localisation confidence and HD vector maps in Foxglove Studio, RViz and CloudCompare during test runs.
  • ODD validation. Analysed boundary conditions (extreme weather, GNSS-degraded urban canyons, mixed traffic) to define safe operating envelopes and support route sign-offs, working with safety drivers and transit authorities.

Ufka Tech

Co-founder
2026 – present · Istanbul

  • Developing a three-tier line of near-space educational balloon kits for universities and high schools: tethered, ~30 km stratospheric, and imaging with live telemetry.
  • Own the technical architecture, the branding and the product site. Pursuing KOSGEB support for serial production.

Projects

2026 · Python, Flask, Leaflet.js, Overpass API, ReportLab

Autonomous bus route risk scoring tool

Full-stack tool that parses GPX/KML routes, queries OpenStreetMap and scores them across nine risk categories using ADASTEC's ODD methodology (log-normal handling, corpus-based z-scores, CDF-based 0–10 scale). Exports a PDF report.

Jun 2026 · Python, Open3D, PCL, CloudCompare

3D point cloud static object filtering pipeline

Automated removal of dynamic artefacts and ghosting from large LiDAR SLAM maps, to improve localisation and vector map alignment.

May 2026 · JavaScript, Web APIs, KML

High-precision GNSS route logger and KML exporter

Browser-based field utility that captures live GNSS telemetry and exports KML trajectories for quick site surveys.

2026 · TÜBİTAK 2209-A application in preparation

Ecological footprint software

Selects ballast uptake and discharge locations from the route and cargo condition, scored by ecological risk. Pilot case: bulk carrier, Black Sea – Marmara – Mediterranean.

Background

Education

Istanbul Technical University
B.S. Naval Architecture and Ocean Engineering, 2024 – present. Minor in Nuclear Engineering (starting).
Real-vehicle autonomous driving project in an ITU lab (ROS 2, GNSS over Ethernet); faculty engineering and design clubs.

Ortaca High School, Muğla
Science division, 2020 – 2024. Graduation GPA 96.45 / 100.

Skills

Autonomous systems
SAE Level 4 deployment, ROS / ROS 2, multi-sensor calibration, drive-by-wire SteerMap, ODD validation, HD maps, RViz, Foxglove, CloudCompare
Hardware
3D LiDAR (Velodyne, Hesai, Ouster), automotive cameras, RTK GNSS/IMU, CAN bus, Ethernet / TCP-IP
Software
Python, C++, JavaScript, Flask, Open3D, Leaflet.js, Overpass API, Linux (Ubuntu admin, NVMe/SSD diagnostics), Bash, Docker, Git
Engineering
Naval architecture fundamentals, ballast water management, AutoCAD

Languages

Turkish (native) · English (B2/C1) · German (A1/A2) · Japanese (introductory)

Certification

IT Law & Regulatory Frameworks, BTK Academy, 2024