Hi, I'm Dina Taing
I am from Cambodia, a senior undergraduate in Lousiana State University Software Engineering, specializing in machine learning and high-performance computing. I have a background in research and currently develop and lead an open-source project for a research community.
Accomplishment
Tech Stack
Experience
- Optimized the Flutter mobile app by improving memory management, eliminating unnecessary widget rebuilds, and tuning the network layer for faster load times and lower data usage.
- Designed and built an agentic AI orchestrator that coordinates tool calling, RAG pipelines, and specialized sub-agents using LangChain, LangSmith, and DSPy.
- Built an evaluation system to quantify and track model output quality across prompt and pipeline changes.
- Set up robust, scalable infrastructure on Google Cloud, using Compute Engine for backend workloads, Firebase and Firestore for app data, and BigQuery for analytics.
- Reduced staff search time by 70% by integrating hospital tools and resources into a unified MCP-driven platform.
- Delivered fast, reliable enterprise access by building and deploying an MCP server integrated with Microsoft Teams.
- Used Microsoft Foundry AI, Azure containers, and Redis caching to provide centralized high-performance knowledge access.
- Developed an open-source JetBrains standalone plugin using Java, Python, and Docker to simplify setup and eliminate system-level issues.
- Implemented Tobii-Fusion eye-tracker to detect developer gaze and distinguish between handwritten and AI/Copilot-generated code.
- Reduced configuration failure by 80% through optimization and improved developer experience.
Highlighted Projects
Selected workA Java Spring Boot backend application that helps users find the best matching recipes based on ingredients available in their fridge. The system uses a custom fuzzy-matching algorithm to handle partial, misspelled, or incomplete ingredient lists and integrates JWT-based authentication for secure user access.
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A real-time hazardous infrastructure reporting app built with Flutter, AWS Amplify, DynamoDB, and AWS Lambda. Municipal empowers citizens to quickly report hazardous issues such as potholes, broken streetlights, flooding, unsafe intersections, and other municipal problems. Reports appear instantly on an interactive map, enabling rapid response and improved public safety.
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A JetBrains IDE plugin that integrates real-time eye-tracking analytics into the development environment to support research in AI for Software Engineering (AI4SE Lab). The plugin launches and manages a Dockerized Python backend for gaze tracking, streams gaze coordinates into IntelliJ-based IDEs, and enables visualization and logging of developer attention during coding sessions—reducing experimental setup friction and project failure rates by over 80%.
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A minimal but fully featured agentic controller loop that orchestrates an LLM with tools, JSON Schema validation, budgets, and retrieval-augmented generation. It demonstrates planning, argument repair, rolling summarization, and Chroma-based knowledge search on top of the OpenAI API.
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A hackathon project that turns birdwatching into a gamified mobile experience. BirdWatch lets users capture or upload bird photos, identify the species using an in-house trained ResNet18 model, and earn points based on how rare the species is in their area. As backend lead, I designed a Spring Boot microservice-style backend deployed on Google Cloud Run, integrated Cloud SQL and Cloud Storage, and built asynchronous communication with a separate ML prediction service.
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A production-grade Texas Hold’em engine built in Go with deterministic game state management, full betting-round logic, and real-time WebSocket synchronization. Includes a bot framework, rate-limited WebSocket server, state reconciliation system, and a host client for automated simulations and debugging.
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