Mike Jay

Senior Software Engineer with 9+ years of experience designing and developing scalable enterprise applications, cloud-native systems, and API-driven platforms using .NET, React, SQL, and Azure technologies. Recently focused on Machine Learning and Generative AI solutions using Python, FastAPI, LangChain, OpenAI APIs, and vector databases. Experienced in building AI-powered enterprise applications, Retrieval-Augmented Generation (RAG) systems, intelligent automation workflows, NLP pipelines, and scalable microservices architectures.

Strong background in fullstack engineering, cloud deployment, distributed systems, and AI-driven product development.

Senior AI/ML Engineer at Thinking Machines Lab (2023-01 – Present)

• Developed AI-powered enterprise applications using Python, FastAPI, and OpenAI APIs to automate business workflows and intelligent content processing.
• Built Retrieval-Augmented Generation (RAG) pipelines using LangChain and vector databases for contextual document retrieval and enterprise knowledge search.
• Designed scalable AI orchestration services for prompt management, response optimization, and multi-step AI workflows.
• Integrated LLM-based AI assistants into internal business platforms to improve automation and decision-support capabilities.
• Developed NLP-driven pipelines for document classification, semantic search, and intelligent text extraction.
• Created RESTful APIs for AI inference services and real-time AI-driven automation systems.
• Implemented vector search architectures using Pinecone and ChromaDB for high-performance semantic retrieval.
• Containerized AI services using Docker and deployed cloud-native applications within Azure environments.
• Collaborated with product and engineering teams to integrate Generative AI features into customer-facing applications.
• Optimized AI application performance, scalability, and response quality through prompt engineering and retrieval optimization techniques.
• Developed AI agents for automating multi-step business workflows and enterprise process orchestration.
• Built intelligent recommendation systems using machine learning algorithms and customer behavioral analytics.
• Designed scalable backend architectures supporting AI-driven analytics and real-time data processing.
• Implemented secure authentication and authorization mechanisms for enterprise AI platforms.
• Participated in AI solution architecture planning, code reviews, deployment strategies, and cloud optimization initiatives.

Senior Software Engineer at Domino Data Lab (2019-03 – 2022-12)

• Designed and developed scalable enterprise applications using ASP.NET Core, React.js, SQL Server, and Azure cloud services.
• Built microservices-based backend architectures for high-availability enterprise platforms and distributed systems.
• Developed RESTful APIs and integrated third-party services to support business-critical workflows and customer-facing applications.
• Implemented authentication and authorization systems using JWT and OAuth 2.0 security standards.
• Led frontend modernization initiatives using React.js, Redux, and responsive UI development practices.
• Optimized database queries, indexing strategies, and API performance for large-scale transactional systems.
• Developed CI/CD pipelines using Azure DevOps and GitHub Actions for automated deployment workflows.
• Collaborated with cross-functional teams in Agile environments to deliver scalable software solutions.
• Improved system reliability and application monitoring across cloud-hosted production environments.
• Built real-time communication systems using SignalR and WebSocket technologies.
• Participated in cloud migration initiatives for enterprise applications transitioning to Azure infrastructure.
• Developed reusable UI component libraries and enterprise dashboard systems.
• Worked closely with QA and DevOps teams to streamline deployment and release management processes.

Software Engineer at Scale AI (2016-11 – 2019-02)

• Developed and maintained enterprise web applications using C#, ASP.NET MVC, JavaScript, and SQL Server.
• Created reusable frontend components and responsive interfaces using HTML5, CSS3, and JavaScript frameworks.
• Built backend services and data access layers using Entity Framework and LINQ.
• Integrated REST APIs and third-party services into internal and customer-facing applications.
• Participated in application architecture planning, code reviews, and software debugging activities.
• Developed reporting dashboards and data-driven modules for business operations and analytics.
• Worked closely with QA teams to troubleshoot production issues and improve application stability.
• Assisted in database design, stored procedure development, and system performance optimization.
• Supported cloud migration and deployment activities for enterprise applications hosted on Azure.
• Implemented responsive UI features and optimized frontend application performance.
• Maintained secure coding practices and participated in software testing and release activities.

Bachelor of Science in Computer Science – NUST University