Lien Tran

Senior AI Engineer / GenAI Consultant

Vantaa, FI.

About

Senior AI Engineer and GenAI Consultant with over 5 years of experience, specializing in designing and deploying production-grade AI solutions for enterprise clients across diverse sectors. Possesses deep expertise in LLM-based systems, agentic architectures, and cloud-native AI platforms (Azure, AWS), leveraging a strong consulting mindset to translate complex business needs into measurable, AI-driven value and strategic impact.

Work

Accenture Nordics

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Senior AI Engineer/Tech Lead - Data & Generative AI

Helsinki, Uusimaa, Finland

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Summary

Led the design, development, and deployment of production-grade Generative AI solutions for enterprise clients across insurance, pharma, banking, and industrial sectors.

Highlights

Designed, developed, and deployed advanced Generative AI solutions, including LLM-based chatbots, RAG pipelines, and AI assistants, directly enhancing client capabilities across diverse enterprise domains.

Acted as a client-facing AI consultant, advising stakeholders on strategic solution design, architecture choices, and GenAI best practices to ensure optimal implementation and adoption.

Built and operationalized production-ready AI systems leveraging Azure OpenAI, AWS Bedrock, LangChain, Semantic Kernel, FastAPI, Docker, and various cloud-native services.

Translated complex business requirements into robust, data-driven AI solutions, meticulously balancing technical feasibility, security protocols, and delivering measurable business value.

Collaborated effectively in cross-functional teams, contributing significantly to pre-sales activities and internal accelerators, including GenAI demos, PoCs, and reusable solution components.

Deltamarin Ltd Helsinki

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Concept Designer (Machine learning specialist)

Helsinki, Uusimaa, Finland

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Summary

Developed machine learning models to enhance the energy efficiency of maritime systems, focusing on time-series forecasting and vessel energy optimization.

Highlights

Developed and implemented machine learning models that improved the energy efficiency of maritime systems, directly contributing to cost savings and environmental impact reduction.

Utilized advanced data analysis techniques and time-series forecasting to optimize vessel energy consumption and operational performance.

Aalto University

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Research Assistant - Nonlinear Partial Differential Equations group

Espoo, Uusimaa, Finland

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Summary

Conducted research on singular and degenerate elliptic and parabolic equations, culminating in a detailed project report.

Highlights

Conducted in-depth research on singular and degenerate elliptic and parabolic equations, contributing to the Department of Mathematics and Systems Analysis's academic output.

Authored a comprehensive project report detailing findings and methodologies, demonstrating strong analytical and scientific writing skills.

Education

Aalto University

Espoo, Uusimaa, Finland
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M.Sc. Mechanical Engineering Grade: 4.75/5.0

Courses

Major: Solid Mechanics - Computational mechanics specialist

Minor: Applied Mathematics - Analysis, PDEs, Inverse Problems

Thesis: On Using A Viscoelastic Material Model for Saline Ice

Arcada University of Applied Sciences

Helsinki, Uusimaa, Finland
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B.Sc. Plastics Technology Grade: 4.24/5.0

Courses

Major: Thermodynamics, Fluid mechanics, Polymer and Composite materials

Minor: Marketing, Product development

Thesis: Stress Concentration Analysis of Materials

Awards

Arcada's Stipendiefonder

Arcada University of Applied Sciences

Awarded 27,000 EUR in stipends from Arcada's Stipendiefonder for academic excellence.

Dean's List

Aalto School of Engineering

Recognized on the Dean's List for outstanding academic performance in 2016-2017 and 2018-2019.

Borealis Student Innovation Award

Borealis

Received 'The Best Runner Up' in the Bachelor Thesis category for innovative work.

Languages

English

Vietnamese

Swedish

Finnish

Certificates

Azure AI Engineer - Associate (AZ-102)

Microsoft

Azure AI Fundamentals (AI-900)

Microsoft

Azure Developer Associate (AZ-204)

Microsoft

AWS Machine Learning - Specialty

Amazon Web Services (AWS)

AWS Solutions Architect - Associate

Amazon Web Services (AWS)

Skills

Programming Languages

Python, SQL, JavaScript.

GenAI & ML Frameworks

Azure OpenAI, AWS Bedrock, LangChain, Microsoft Agent Framework, PyTorch, TensorFlow, LLM-based Systems, RAG Pipelines, AI Assistants, Agentic Architectures, Deep Learning, Machine Learning.

Computer Vision

OpenCV, YOLO, ControlNet, Midjourney, Object Detection, Image Classification.

MLOps & Data Tools

FastAPI, Docker, ML Pipelines, MLflow, Databricks, Snowflake, Data Analysis, SQL Scripting, Data Migration, Time-series Forecasting.

Cloud Platforms

AWS, Azure, Azure AI Search, OpenSearch, AWS Glue, AWS Lambda.

Dev Practices

Git, CI/CD, Agile, Scrum, Solution Design, Architecture Design, Technical Leadership, Client Consulting, Stakeholder Management, Cross-functional Collaboration, Pre-sales Support, PoC Development.

Interests

Sports

Badminton, Swimming.

Hobbies

Mathematics, Coding.

Projects

Enterprise GenAI Platform for Finnish Forest Industry Client

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Summary

Led the design and delivery of a production enterprise RAG-powered GenAI platform, enabling secure access to SharePoint data, Snowflake databases, and user-uploaded documents.

GenAI Assistant for Pharma QC Scientists - American Pharmaceutical Client

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Summary

Developed an LLM-based assistant supporting quality control scientists in a pharmaceutical laboratory environment, focusing on accuracy, traceability, and compliance.

Enterprise GenAI Chatbot - Finnish Insurance Client

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Summary

Designed and implemented a production-grade GenAI chatbot and email automation platform supporting customer service workflows.

Accenture Generative AI Accelerator

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Summary

Designed and developed a reusable GenAI assistant accelerator integrated into Microsoft Teams and web applications.

Computer Vision Engineer - Finnish Oil Refining Client

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Summary

Trained deep-learning models (Yolov7) on client-provided valve images to achieve real-time valve detection and classification, enhancing safety and efficiency.

AI Engineer, Slush Official Side Event Demo

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Summary

Engineered and refined Stable Diffusion & ControlNet to create realistic GenAI synthetic images for a Slush Official Side Event Demo.

Data Quality Engineer - Swedish Banking Client

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Summary

Ensured data quality and consistency during a large-scale data migration project spanning 28 countries, performing analysis, creating SQL scripts, and coordinating testing.

Deep Learning Specialist - LSH Visual Analytics – 5G Edge Lab

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Summary

Developed object detection and classification models for faulty objects on conveyor belts with limited data.

INTENS – National industry-wide collaborative research

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Summary

Collaborative research project between Deltamarin and Technical Research Centre of Finland VTT focused on improving energy efficiency and reducing emissions of ship energy systems.

Lazareto Project – Power Plant Construction Improvement

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Summary

Project with Wärtsilä Corporation and Aalto University focused on optimizing power plant construction through prototype planning, material procurement, and augmented reality application development.