Summary
Overview
Work History
Education
Skills
Certification
Timeline
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Jigme Tharchen

Canberra,ACT

Summary

Applied AI engineer with an R&D background in embedded and IoT systems. Experienced in building and deploying models, integrating them into production-ready products, and delivering services across Linux and cloud environments. Strong in Python and C/C++, with practical DevOps capability (CI/CD, containerisation, and microservices).

Overview

3
3
years of professional experience
1
1
Certification

Work History

Machine Learning Intern

ADL Australia
01.2022 - 12.2023
  • Automated shortlisting process using Python ML pipeline, reducing manual screening time by 30% and improving candidate-job match quality.
  • Assisted in data preprocessing and feature selection for model training.
  • Applied feature engineering, cross-validation, and GPT-based classification to boost model accuracy by 20% over baseline.
  • Collaborated with cross-functional teams to integrate machine learning solutions into existing systems.
  • Conducted experiments to evaluate model performance and optimize algorithms.
  • Engaged in regular feedback sessions, fostering continuous improvement of skills and methodologies.

Research and Development Engineer

Fab Lab Bhutan
02.2021 - 03.2023
  • Designed and built custom circuit boards to control electronic systems with different sensors.
  • Developed innovative prototypes to enhance product functionality and user experience.
  • worked on real-time data pipelines solution between microcontrollers and control centre in remote locations.
  • Conducted comprehensive testing and analysis to ensure product quality and compliance with industry standards.
  • Delivered a client-facing web application for system monitoring and management, ensuring user-friendly adoption.
  • Built supervised machine learning models for multiple business projects, improving prediction and decision-making workflows.
  • Collected and worked with large-scale datasets, ensuring data quality and consistency for training deep learning models.
  • Utilized advanced CAD software for drafting detailed designs and specifications for new products.
  • Performed routine lab maintenance tasks.
  • Worked with different CNC machines such as Zund, Shopbot, 3D printers, lazer cutters and Mechatronika

Education

Master of Science - Data Science in AI And Computational Modelling

University of Canberra
Canberra, ACT
07-2025

Bachelor of Science - Electronics And Communications Engineering

College of Science And Technology
Bhutan
08-2020

Skills

    Programming

    Python, JavaScript(Nodejs React), Bash

    Embedded & IoT

    ESP32, Raspberry pi, MQTT, Modbus, LoRa

    AI & ML

    TensorFlow, OpenCV, sklearn, Transformers, supervised learning

    DevOps

    Docker, Kubernetes, Git, CI/CD(Jenkins)

    Data & APIs

    FastAPI, REST, MongoDB, PowerBI, SQL

    Hardware Design

    PCB(EAGLE), Circuit prototyping

Certification

  • Power BI Beginner Certificate — Nexacu Australia, 2025
  • Essential Data Science Building Blocks — Omdena, 2022
  • Advanced DevOps Tools (Git, Ansible, Kubernetes on Baremetal & Azure, CI/CD with Jenkins) — Koenig Solutions, 2021
  • Blockchain & Smart Contracts for Digital Carbon Markets — InfraBlocks Technologies, Singapore

Timeline

Machine Learning Intern

ADL Australia
01.2022 - 12.2023

Research and Development Engineer

Fab Lab Bhutan
02.2021 - 03.2023

Master of Science - Data Science in AI And Computational Modelling

University of Canberra

Bachelor of Science - Electronics And Communications Engineering

College of Science And Technology
Jigme Tharchen