FAE & Sales Engineer
Bridging the gap between cutting-edge AI hardware and real-world applications. Specializing in machine learning, technical sales, and developer relations.
About Me
I'm a results-driven, customer-facing ML engineer with hands-on experience driving adoption of low-power edge-AI chips and high-performance AI accelerators.
My Background
With over 4 years of experience in the edge computing and AI hardware space, I've developed and deployed applications that leverage audio processing, computer vision, RAG, and AI agents. My technical depth and strong communication skills have allowed me to translate complex technical concepts into business value through sales presentations, webinars, and live demos.
I graduated from University of California, Riverside (Summa Cum Laude) with a BS in Business Analytics.
Skills
An overview of my technical expertise and soft skills.
Programming Languages
Sales
AI/ML Frameworks
LLM & Agent Development Tools
Documentation
Tools & Platforms
Professional Experience
My career journey across machine learning engineering, application engineering, and developer relations.
I'm currently looking for a new full-time role after a mass layoff affected my most recent position.
Sr. Developer Relations Engineer
Tenstorrent
- Developed 15+ Python reference apps for vLLM inference servers running on Tenstorrent accelerators, showcasing AI agent, RAG, and chatbot demos to ease developer adoption.
- Managed open-source bounty program spanning 16 repos, awarding $10k+ and boosting task completion rate 15% through triaging, clear internal communication, and GitHub Actions.
- Hosted live technical webinars and in-person sessions for 100+ developers, clearly explaining tools and walking through LLM inference code, growing the community by 18%.
- Built an internal web app that uses an LLM to summarize 1k+ Discord messages daily and a RAG system for context-aware chat, improving access to community insights and issues.
Lead Application Engineer
AONDevices
- Served as primary customer liaison, conducting discovery calls and addressing customer concerns to align product features with client goals, driving customer engagement by 15%.
- Managed pre-sales evaluations for 20+ active customer accounts, maintaining accurate records and strategically prioritizing client needs, achieving consistent, on-time deliveries.
- Presented live technical demos to engineers, product managers, and executives at trade shows, contributing to a 10% increase in qualified leads.
- Created comprehensive technical documentation, user guides, and sales collateral to empower both customers and internal sales teams, reducing support tickets by 8%.
Machine Learning Engineer
AONDevices
- Developed and deployed TensorFlow models for low-power, voice-based applications, writing production code for data preprocessing, model training, and real-time inference.
- Led the design and implementation of a transfer learning algorithm to adapt production wake-word models to regional accents with only 15 new samples, increasing recall by 30%.
- Scaled a deep learning training pipeline with Docker and Kubernetes by distributing trainings across multiple AWS instances, reducing training time by 75%.
- Automated the creation of high-quality, synthetic speech datasets, reducing data collection time by 60% and increasing available training data by 50%.
Featured Projects
Highlighting some of my technical projects.
End-to-End Spoken Language Understanding
Lightweight alternative to a traditional voice assistant built for low-power edge devices.
Local AI Agent from Scratch
Jupyter Notebook detailing how to build a simple, fully-local AI agent using vLLM.
Get In Touch
I'm open to discussing new projects, opportunities, or partnerships.