Senior AI Engineer — AAA
- Designed and shipped two production AI systems — a training avatar and an FP&A automation tool — while collaborating with the FP&A and L&D teams in an Agile / Jira workflow.
AI Avatar Training Platform
Conversational avatar delivering interactive training for employees, sales staff, and leadership.
- Architected an end-to-end avatar app on GCP, integrating private preview Google generative models for role-specific training conversations.
- Built Golang backend services and a Svelte front end, with BigQuery powering analytics on learner interactions.
- Provisioned infrastructure as code with Terraform for reproducible deployments across environments.
FP&A Finance Automation Tool
AI-assisted tooling that streamlines month-end close and recurring finance workflows.
- Built an AI-powered tool that automates month-end accruals and other repetitive financial tasks.
- Integrated the Workday API for live data, with Cloud SQL as the transactional store and BigQuery for reporting.
- Authored architecture docs and CI/CD pipelines with QA and UAT gates and ongoing maintenance.
AI/ML Engineer — CVS
Backend LLM automation for enterprise ticket handling on the DBA team.
- Built an intelligent ticket-handling system integrating enterprise APIs, data platforms, and LLM workflows.
- Designed conversation-driven flows that identify root cause and execute targeted actions automatically.
- Implemented CI/CD deployment and migration pipelines, improving release reliability and rollback safety.
- Worked closely with database and cloud teams to ship production-grade automation.
AI/ML Support Engineer — Microsoft (Azure OpenAI)
Client-facing support and integration work across the Azure OpenAI stack.
- Supported strategic client integrations across Azure OpenAI, Cognitive Services, and Speech.
- Helped debug production issues and improve reliability of customer deployments.
- Drove feature adoption and integration using Python and GitHub, boosting customer satisfaction.
- Worked with engineering teams to drive resolution and adoption.
AI Engineer — Uniquify
AI development across internal tooling and customer-facing computer vision systems.
- Built an LLM-powered codebase assistant that cut developer onboarding time by ~40%.
- Created an auto-labeling tool leveraging pre-trained models that reduced manual labeling effort by ~70%.
- Developed object detection and pose estimation models (ResNet, YOLOv5, BlazePose, CVAE) in PyTorch / TensorFlow.
Research Assistant — SJSU
Machine learning research on latent dynamics for pose estimation.
- Researched Latent Factor Analysis via Dynamical Systems (LFADS) and applied it to pose estimation modeling.
- Benchmarked the approach against established methods such as CNNs and CVAEs to evaluate improvements.