Ben Truong
ML Engineer
About me
I build ML/Agentic apps with a background with Traefik, k8s, Flink, WanDB, and LangSmith. I’m currently pursuing my M.S. in Computer Science (ML track) at Georgia Tech.
My recent work includes an image-to-3d-print app using text-gen and diffusion models, an adapted transformer model for stock trading, and a LLM-based app for medial diagnosis coding. I have 6 YoE as a programmer, 3 YoE in operations leadership, and 8 YoE in the military as infantry and sysadmin soldier.
Outside of work, I’m passionate about mentoring and managing the ever-expanding homelab.
Download my resumé as a PDF.
- GenAI Agentic apps
- Pipeline Store design
M.S. Computer Science (Machine Learning), 2025
Georgia Institute of Technology
B.A. Cognitive Science, 2019
UC Berkeley
Experience
- Selected as shift leader and SME on internal ML tools for 2.5 years; coordinated cross-team data overrides.
- Built high-throughput KPI dashboard (30k req/sec) with <200ms latency using AWS CloudWatch.
- Optimized staffing with ML + SQL; improved fulfillment output by 12% sitewide.
- Led process improvement team achieving 98% YoY reduction in GiftWrap misses using Six Sigma methods.
- Led 12-person dev team across Django/Python/React stack with AWS Lambda + Heroku deployment.
- Founded PPE web app that distributed 140,000 units nationally during COVID-19.
- Raised $28k and collaborated with clinics and CDC stakeholders for equitable distribution.
- Deployed tactical networks over satellite and configured switches/routers per U.S. ComSec standards.
- Built secure distributed compute setups using VPN, SSH, and virtualization tools in live environments.
Education
- Fine-tuned RL with DynaQ models for stock trading, achieving a 3% gain over S&P 500 in back-tests.
- Improved ICU diagnosis model (Gangavarapu et al, 2020) from 80% to 98% accuracy using NLP on unstructured clinical notes.
- Built A* and Dijkstra path planning models with real-time Bayesian updates for simulated robot and network traffic environments.
- Used AIP platform to build an ETL pipeline and LLM evaluation dashboard for rapid model analysis and selection.
- GPA: 3.8 / 4.0
- Glushko Prize for thesis on Outgroup Alienation and Empathy Suppression: behavioral + neurological mechanisms.
Certificates
Connect With Me
The best way to get in touch is to connect on LinkedIn.