Danielshi Tech

Developed backend services and APIs using Type Script and NestJS while providing technical leadership on frontend architecture. Designed GenAI features using LLM-based services and prompt orchestration, powering intelligent search, summarization, and decision-support tools for customers. Built RAG-style pipelines using vector databases and embeddings to enable semantic search over internal documents, tickets, and logs, improving information retrieval speed and relevance. Used Python and Lang Chain to prototype and productionize LLM workflows, adding guardrails, evaluation, and monitoring to keep responses reliable and compliant. Worked in a polyglot microservices environment with NestJS, Spring Boot, and . NET, choosing the right stack per service while keeping interfaces consistent and well documented. Used Rabbit MQ for asynchronous messaging, background jobs, and event-driven workflows to decouple services and improve reliability and scalability. Deployed and operated services on AWS and Kubernetes using Docker, Helm, and managed cloud services to ensure high availability, scaling, and cost efficiency. Implemented logging, metrics, and tracing for all services, improving observability, incident response, and performance tuning across the platform. Contributed to CI/CD pipelines for Type Script, Java, and . NET services, adding automated tests, quality checks, and safe deployment practices. Collaborated in an Agile environment using Jira, code reviews, and architecture discussions, helping align engineering work with product priorities and mentoring other developers.

Led a team of engineers building core features for a K-12 education platform, working across polyglot microservices written in Golang, Java Boot, and . NET. Designed backend services and REST APIs in Golang and Java/. NET, integrating with Postgre SQL and Redis for reliable data access and caching. Built and maintained responsive web interfaces using React and Angular, creating reusable components and improving performance and usability for teachers and administrators. Drove code reviews, Agile ceremonies, and CI/CD improvements with Git, Jenkins, and Docker, increasing code quality, deployment reliability, and team productivity.

Built responsive web & mobile applications using React, React Native, Java Script, and HTML/CSS for healthcare portals and internal tools. Developed RESTful backend endpoints with Node. js and PHP to support form workflows, data retrieval, and user-facing features. Implemented Python-based backend services using Django and Django REST Framework, integrating with Postgre SQL and internal healthcare APIs to power secure patient data workflows and reporting features. Built utility scripts and background jobs with Python, Celery, and Redis to automate data validation, scheduled imports, and notification processes, reducing manual effort for operations and support teams. Deployed and operated these services on Google Cloud Platform using Cloud Run/GKE, Cloud SQL, Cloud Storage, and Cloud Monitoring to ensure scalability, reliability, and observability. Used Git for version control and collaborated with designers, QA, and product teams to deliver accessible, cross-browser–compatible user experiences.

Developed and maintained features for internal education software using C#/. NET, and WPF, following object-oriented and MVVM design patterns. Fixed bugs, wrote unit tests, and used Git and Visual Studio tooling to improve code quality, UI responsiveness, and overall application stability. Applied data processing and AI workflows in Python using Azure Machine Learning and Azure Cognitive AI services to build, deploy, and monitor cloud-based ML models and intelligent features.