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Available for Work · Finland
DK

Deepak
Khanal

I build |

Automation Engineer · AI & Computer Vision · Full Stack Developer · IoT
📍 Finland · B.Eng Automation · Seinäjoki UAS 2025

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About Me

Engineer based in Finland with a B.Eng. in Automation & Technical Systems and hands-on experience across IT support, hardware troubleshooting, frontend development, and industrial automation.

My background spans software projects, PLC and robotics programming, and high-pressure production environments in Finland and Japan. I'm comfortable working independently on site, following structured processes, and coordinating across technical and operational teams.

I hold a valid Finnish residence permit and am authorised to work — available immediately and willing to relocate within Finland.

🇬🇧 English — Full Professional 🇳🇵 Nepali — Native 🇯🇵 Japanese — Working 🇫🇮 Finnish — Learning
0
Years Experience
0
Major Projects
0
Technologies
0
Countries Worked

Technical Skills

⚛️
React
88%
🟨
JavaScript
85%
🎨
HTML / CSS
90%
🐍
Python
82%
🟢
Node.js
78%
🗄️
SQL
75%
👁️
OpenCV
80%
🎯
YOLO / AI
78%
📊
MATLAB
72%
⚙️
PLC / TwinCAT
80%
🤖
ABB RAPID
75%
EPLAN
70%
🌐
IoT Systems
82%
📐
CAD / SolidWorks
65%
🖥️
IT Hardware
85%

Experience Timeline

Automation Trainee / Frontend Developer
Sevas Kodit Oy
Jun 2024 – Dec 2025
  • Built a full React-based laundry booking system with scheduling logic, user auth, and real-time slot management
  • Designed modular components and handled system usability testing against real operational requirements
  • Responsible for bug fixing, interface reliability improvements, and change documentation
ReactJavaScriptNode.jsAutomation
Frontend Developer & Automation Trainee
Somaarjun Tech
2024 – 2025
  • Developed and maintained web interfaces using React and JavaScript, integrated with backend APIs
  • Collaborated remotely, handling feature delivery and testing within defined deadlines
  • Gained practical exposure to automation workflows alongside web development
ReactREST APIsRemote Work
IT Support Assistant
School IT Department, Gulmi · Nepal
2020 – 2022
  • Day-to-day hardware and software support for staff and students across the computer lab
  • Diagnosed and resolved issues with computers, peripherals, software, and basic networking
  • Maintained lab systems, performed routine checks, documented recurring problems
IT SupportHardwareNetworking
Kitchen & Production Specialist
Hesburger · Finland
2023 – 2025
  • Managed high-volume production under strict hygiene and quality standards
  • Applied 5S principles, trained new staff on SOPs
5SQuality ControlTeam Lead
Kitchen Assistant & Sushi Production
Katsuya & Izakaya · Japan
2015 – 2019
  • 4+ years in precision-focused Japanese kitchen with strict hygiene, FIFO, and quality protocols
  • Operated under consistent pressure; cross-cultural team dynamics
FIFOQualityJapan
🎓 B.Eng. — Automation & Technical Systems
Seinäjoki University of Applied Sciences
Graduated Dec 2025
  • PLC automation, industrial robotics, IoT systems, control engineering, computer vision

Featured Projects

01

Laundry Booking System

Full-stack React application with real-time slot management, user authentication, and scheduling logic deployed for real operational use.

ReactNode.jsSocket.IOSQL
GitHub ↗
02

YOLO Vehicle Detection

Real-time vehicle counting system using YOLOv8 with multithreading, structured CSV reporting, and optimised for embedded deployments.

PythonYOLOOpenCVMultithreading
GitHub ↗
03

Smart Traffic Counter

Intelligent traffic counting system leveraging computer vision to track and count vehicles across multiple lanes with live visualisation.

PythonOpenCVAI/MLIoT
GitHub ↗
04

Face Recognition Pipeline

CPU-optimised face recognition system designed to run without GPU, suitable for low-power environments and edge deployments.

PythonOpenCVMLEdge
GitHub ↗
05

IoT Sensor Dashboard

Live equipment data visualisation platform using Node.js and Socket.IO for real-time monitoring of industrial sensor streams.

Node.jsSocket.IOPythonIoT
GitHub ↗
06

PLC & ABB Robot Programs

State-machine PLC control logic with edge detection using TwinCAT; ABB RAPID programs for pick-and-place, greasing, and palletising.

TwinCATABB RAPIDPLCAutomation
GitHub ↗

Thesis & Research

B.Eng. Thesis · 2025

AI-Powered Vehicle Detection & Traffic Counting System

Designed and implemented a real-time vehicle detection and counting system using YOLOv8 as the core detection model. The system leverages multithreading for high-performance stream processing, structured CSV-based reporting, and is optimised for deployment on edge hardware without requiring dedicated GPU infrastructure.

🎯
YOLOv8 real-time object detection model
Multithreading for concurrent stream processing
📊
Structured CSV reporting and analytics
🔧
Edge-ready — runs without GPU
PythonYOLOv8OpenCVComputer VisionIoTMultithreading
View on GitHub ↗

Certifications & Education

🎓
B.Eng. Automation & Technical Systems
Seinäjoki University of Applied Sciences
December 2025
⚙️
PLC Programming — TwinCAT
Industrial Automation Studies
2024
🤖
ABB Robot Programming — RAPID
Robotics & Automation Lab
2024
🌐
IoT Systems & Control Engineering
Seinäjoki UAS
2023
🍱
Omavalvonta — Finnish Food Safety
Finnish Food Authority
2023
🔬
Computer Vision & AI/ML
Applied Research Project
2025

Get In Touch

I'm currently open to new opportunities in Finland — automation engineering, IT support, frontend development, or data centre technical roles. Let's talk.

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