AWS Certified Machine Learning – Specialty
Google Cloud Professional Machine Learning Engineer
TensorFlow Developer Certificate
TOEIC 850 Listening & Reading
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An AI professional with 8+ years of experience in Artificial Intelligence, Machine Learning, data processing, and AI system development, with strong experience leading technical teams on international projects. Specialized in designing AI solutions and developing Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision applications.
Highly proficient in Python and AI frameworks including PyTorch, TensorFlow, OpenCV, FastAPI, and Flask. Experienced in building LLM, RAG, AI Agent, Semantic Search, Recommendation System, and large-scale data processing solutions. Also experienced in designing data pipelines, integrating AI capabilities into Backend systems, and deploying solutions on AWS, Google Cloud, and Docker.
Strong experience in requirement analysis, technical solution proposals, task planning, code review, technical mentoring, and direct communication with international customers.
AI Team Leader, January 2024 – Present
Lead a team developing AI solutions powered by Large Language Models (LLMs) for the healthcare sector. Design AI Agent architecture capable of coordinating specialized tasks such as service consultation, document analysis, customer support, and multimodal data processing.
Design RAG systems combining vector search and graph-based data to improve information retrieval accuracy. Evaluate and select language and embedding models based on accuracy, response time, and operational cost.
Collaborate with Backend, Frontend, and QC teams to integrate AI solutions into production systems. Provide technical direction, architecture reviews, and technical support for team members.
AI / Data Engineer, June 2021 – December 2023
Participated in the development of an automated system for collecting and processing data from multiple banking sources. Built Data Pipelines using Apache Airflow to process, validate, and standardize data before feeding it into analytics systems.
Collaborated with Backend teams to integrate data workflows into the system. Performed testing, troubleshooting, Airflow version upgrades, and process optimization to maintain system stability in the Production environment.
AI Team Leader, March 2019 – May 2021
Led a team developing a real-time image analytics system using camera streams. Researched and implemented Deep Learning models for object detection, face recognition, and behavior analysis.
Developed Backend APIs using Flask, integrated AI models with Web applications, and optimized image processing performance. Participated in system architecture design, deployment, and Production troubleshooting.
AI Team Leader, June 2018 – February 2019
Led the development of an OCR system for recognizing text from images and converting it into structured data. Used OpenCV and PyTorch for image processing and AI model development.
Developed Backend APIs with Flask, prepared training datasets, evaluated model performance, and optimized processing efficiency. Collaborated with the development team to integrate AI capabilities into practical applications.
AI Engineer, May 2017 – May 2018
Participated in developing AI solutions for customer behavior analysis using image and video data. Researched technologies for person detection, people counting, face recognition, and pose estimation.
Performed data preprocessing, model training and evaluation, and integrated multiple AI components into a complete system. Supported deployment, testing, and image processing optimization.
Within 24 hours, you will receive candidate profiles and a detailed quotation. Once the interviews and selection process are completed, the team can typically start within 7 business days.
The standard minimum contract period is 3 months to ensure project effectiveness. However, the contract duration can be adjusted flexibly based on each project phase and requirements.
Candidates go through a 4-step selection process: technical skills assessment, direct interview with our experts, English communication assessment, and practical work skills evaluation.
Yes. If a team member does not meet your expectations, Aegona will support you in replacing them with an equivalent resource upon request.
Yes. An NDA is signed for every project. Clients retain 100% ownership of the source code and intellectual property created for their project.
100% of our professionals working on international projects have strong English communication skills for technical and project-related communication.