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.
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
|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
|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
|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
Awarded By
Arcada University of Applied Sciences
Awarded 27,000 EUR in stipends from Arcada's Stipendiefonder for academic excellence.
Dean's List
Awarded By
Aalto School of Engineering
Recognized on the Dean's List for outstanding academic performance in 2016-2017 and 2018-2019.
Borealis Student Innovation Award
Awarded By
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)
Issued By
Microsoft
Azure AI Fundamentals (AI-900)
Issued By
Microsoft
Azure Developer Associate (AZ-204)
Issued By
Microsoft
AWS Machine Learning - Specialty
Issued By
Amazon Web Services (AWS)
AWS Solutions Architect - Associate
Issued By
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
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.