Lam Nguyen

Lam Nguyen

AI/Blockchain Solution Architect

CV

Interest

10+ years of experience as a Solution Architect and Senior Software Architect specializing in Enterprise AI/ML solutions, Fintech Systems, Generative AI, and Secure IoT, driving innovation and delivering scalable, high-impact technologies.

Education

Work experience

Senior AI Architect

TechHala, Vietnam-Singapore (Dec 2021 – Aug 2023) (Outsource company for banking services)

  1. Project 1: Building a GenAI-based solution for IT Incident Handling of a Commercial Bank
    • Description: Designed and planned an AI solution for IT incident handling—specifically for incident confirmation and root cause localization.
    • Key Contributions:
      • Collaborated with operation and incident management teams to assess current processes.
      • Researched AIOps solutions (Datadog, Dynatrace, Splunk, IBM, AWS).
      • Created a detailed system design, workflow, and PoC for the project.
      • Built a logging system to gather system logs (e.g., ROC, COC, Payments, NotificationHub) via Dynatrace, Splunk, OpenSearch.
      • Developed an incident knowledge base to recommend fixes for future issues.
      • Integrated LLMs (LLaMA, Mistral, AWS Claude) as a GenAI solution for administrator support.
      • Applied LSTM for time-series incident detection and handled both deployment and model training on AWS.
    • Skills: AWS, Kubernetes, Dynatrace, Splunk, OpenSearch, GenAI, Python, TensorFlow, PyTorch, Numpy
    • Achievements:
      • Achieved 100% incident confirmation accuracy and instant root-cause localization using GenAI.
      • Built an in-house GenAI-based AIOps solution.
      • Reduced incident resolution times significantly.
  2. Project 2: Building Enterprise Knowledge Base with LLM (Llama2) for the IT Division
    • Description: Designed an enterprise-level knowledge base platform supporting various IT functions (enterprise architecture, software engineering, retail banking tech, etc.) with a chat-based approach.
    • Key Contributions:
      • Led system design for a GenAI platform, unifying business and technical requirements across teams.
      • Managed data preparation, guardrails, model routers, latency tuning, and monitoring.
      • Deployed on AWS cloud services (Amazon SageMaker, Bedrock).
      • Fine-tuned and trained LLM models for best responses.
      • Addressed unstructured data in multiple formats (images, text, diagrams) using a multi-agent strategy beyond standard RAG.
    • Skills: AWS SageMaker, Bedrock, Generative AI, CI/CD, Training Development, System Integration
    • Achievements:
      • Streamlined multi-department knowledge access, reducing escalations by 5x.
      • Unified knowledge repository, breaking down organizational silos.
  3. Project 3: Adopting GenAI Solutions (e.g., Amazon Q Developer) for IT at Techcombank
    • Description: Led the integration of Generative AI solutions (AWS Bedrock, Amazon Q Developer) into Techcombank’s IT Division, enhancing innovation and development workflows.
    • Key Contributions:
      • Spearheaded Amazon Q Developer adoption for 600+ developers, improving productivity.
      • Designed and ran a Proof-of-Value program to gather feedback for full-scale deployment.
      • Provided training sessions and integrated Amazon Q Developer with CI/CD pipelines, code repositories, and project management tools (Jira, SonarQ).
      • Monitored code generation efficiency, error rates, and feature release times to measure productivity gains.
    • Skills: AWS Bedrock, Generative AI, CI/CD, Project Management, System Integration
    • Achievements:
      • Achieved full-scale adoption of Amazon Q Developer across the IT Division.
      • Improved developer productivity by ~28%.

Founding Senior AI Engineer

Flock.io LTD – London, UK (Mar 2023 – Sep 2023) https://www.flock.io/

  1. Product: ICO Web3-based AI (Federated Learning) Solution
    • Description: Co-founding Senior Software Engineer of Flock.io. The product is a Blockchain-based Federated Learning solution incentivizing participants (via tokens) to contribute to model training. Later, GenAI/LLMs were added for extended use cases on a transparent infrastructure.
    • Key Contributions:
      • Designed an EVM-based Federated Learning application for medical/finance use cases.
      • Implemented backend systems and SDKs in Python for client–blockchain integration.
      • Developed Solidity smart contracts (ERC20, ERC-721), tokenomics, and model aggregation.
      • Created DApp APIs with Express.js and Prisma for login, training, rewards, and incentives.
      • Used PostgreSQL and MongoDB for operational data storage; integrated with Python-based FL backends for dashboards.
    • Skills: GCP, PyTorch, TensorFlow, Blockchain, Containers, Kubernetes, CI/CD, Node.js, Python, Shell, Solidity
    • Achievements:
      • Built a solid foundation for the startup’s core infrastructure.

Senior Back-end Software Engineer

Connectivity Group, Denmark (Jan 2022 – Jul 2022)

  1. Project: Blockchain-Based AI Solution for Managing IoT Sensors
    • Description: Developed a Blockchain-based solution to manage and process large-scale IoT sensor data for AI model training, inference, and analytics.
    • Key Contributions:
      • Implemented a Web3 backend and API system with Express.js, Prisma, and Supabase.
      • Led software architecture design, requirement specs, and project management workflows.
      • Built Solidity smart contracts on Ethereum for secure IoT data handling.
      • Analyzed various blockchain implementations to choose the optimal approach.
      • Optimized CI/CD pipelines (Jenkins, AWS CodeBuild/CodeDeploy) with Python and Shell scripts.
    • Skills: AWS, Blockchain, Ethereum, Containers, Kubernetes, MongoDB, Terraform, CI/CD, Node.js, Python, Shell, Solidity, Wireless IoT

Solution Engineer

Siemens AG, Munich, Germany (in collaboration with Aalborg Uni for IntellIoT) (Aug 2019 – Dec 2021)

  1. Project 1: Blockchain-Based Machine-Rental Platform
    • Description: Designed an intelligent and distributed system at Siemens allowing small companies to rent available machines/robots.
    • Key Contributions:
      • Led overall design and management, from development to deployment.
      • Created system architecture; coordinated with customers; delivered a PoC AI-based machine-sharing system.
    • Skills: AWS, Blockchain, Containers, Kubernetes, MongoDB, Terraform, CI/CD, Node.js, Python, Shell, Smart Contracts
    • Achievements:
      • Optimized deployment costs for the company.
      • Awarded 20,000 EUR from the Siemens Innovation Fund.
  2. Project 2: Europe H2020 — IntellIoT [2020–2021]
    • Description: Research & development of Smart Contract-based DApps in Agriculture (TTECH–Austria), Healthcare (Greece Hospital), and Manufacturing (Siemens AG – Munich).
    • Key Contributions:
      • Designed a trusted and intelligent framework using Blockchain and Distributed Learning over 5G in Paris.
      • Built APIs to integrate Blockchain with partner companies (Siemens-Germany, Phillips-Netherlands, Hololight, TSI, etc.) across multiple domains.

Cloud Software Engineer

Samsung-SNU R&D Center, Seoul, South Korea (Jan 2016 – Jul 2018)

  1. Description: Developed Cloud and IoT solutions under Samsung Research and Seoul National University collaboration.
    • Key Contributions:
      • Prototyped secured IoT solutions using WiFi/Bluetooth and contributed to embedded OS in C/C++ for large-scale IoT devices (Zigbee, Bluetooth).
      • Created IoT routing protocols (RPL, TSCH).
      • Developed backend APIs and web services.

Research Assistant (Secured SDN/NFV)

Singapore University of Technology and Design (Sep 2015 – Mar 2016)

Part-time Software Engineer (Digital Certificate)

BK Antivirus, Hanoi (2011 – 2013)

Media (Patents & Publications)

US Patents

Publications and Other Media