· Built Axis, a B2B Enterprise Data Lake through Next.js and 7 ASP.NET microservices within Elutions SCADA ecosystem, orchestrating the ingestion and processing of TB-scale industrial telemetry files from EMEA factory sites.

· Architected a multi-tenant IAM framework integrating Keycloak and NextAuth.js, implementing a hybrid RBAC/ABAC model with 30+ granular permissions to secure cross-service data access.

· Developed a 3D Digital Twin dashboard using Three.js, mapping real-time SCADA tag data to interactive mechanical models for remote monitoring and anomaly visualization.

· Optimized real-time data sync via WebSockets and TanStack Query, ensuring low latency updates for concurrent enterprise users under high-load industrial environments.

· Led a team of 5 engineers to develop backend microservices of behavioral health platform, curaJoy, enforcing Jira-driven Agile workflows and code review standards to ensure on-time delivery, monitoring service through AWS Cloudwatch logging.

· Collaborated with A2C consulting on a RAG-based Chatbot feature design, integrated LLM service with Data Engineers into the core backend infrastructure and business logic through Poetry, Docker, Github Actions.

◦ Designed and developed a back-end gamification microservice using Node.js, Express and Typescript, implementing over 10 API endpoints. Optimized asynchronous job handling with a BullMQ-driven message queue, enhancing operations such as gems creation, updates, and in-app notifications, reducing latency significantly.

◦ Engineered scoring and prioritization features for incomplete assessments in TypeScript for curaJoy Beta 1.0 patch, enhancing user interaction with AI coaches in a distributed, serverless cloud environment.

◦ Developed real-time input validation for Airtable and implemented synchronization with a normalized AWS RDS PostgreSQL database via Airtable Web API. Utilized Liquibase for robust database schema migrations and implemented a cron job to automate synchronization processes, ensuring data consistency and integrity.

• AI Chatbot: Devised Sherlock Report AI Chatbot using Flask and Python for Sherlock platform, built MongoDB toolkit enabling LangChain-supported LLM for conversational memory, integrated LlamaIndex query engine responding dynamic user requests, decreased response time by 40% from MongoDB.

• SEO: Conducted a multi-threaded automated AI Blog generator for Search Engine Optimization using OpenAI APIs. Generated 100+ HTML formatted articles through asynio and aiohttp with fine-grained keywords, monitored the blog generating process with tqdm.

• Engineered the backend of a personalized daily practice system for Mathzoos, an online education website, utilizing the Flask framework. Automatically assigns daily tasks to users based on a sliding window evaluation of their recent performance across various knowledge points.

• Constructed and integrated functionality to accept and respond to user interactions such as clicking, bookmarking questions, and requesting hints for questions. Leveraged PostgreSQL to maintain and update corresponding question lists, daily problem-solving logs, and performance evaluation records.

• Performed rigorous testing using Postman to emulate frontend requests, successfully merging the developed code into the pre-production environment. This innovative project is currently in the phase of AB testing to optimize user experience and educational outcomes.