my experience

Vent

Founder & CEO

June 2024 - Present

  • Building a system that understands human emotions.

Unstructured

Developer Advocate Engineer

July 2023 - December 2023

  • Led team's community outreach program, scaling API adoption from 0 to 3500 users
  • Developed tailored RAG systems for enterprise clients using open-source and closed-source LLMs
  • Authored technical documents, blogs, and social media posts to maximize product usage
  • Built and maintained comprehensive technical documentation for OSS and hosted solutions
  • Engaged with customers and community members, gathering feedback to drive product improvements
  • Fine-tuned open-source embedding models and LLMs, including LLama and Mistral, for on-premise systems

Gemini | Nifty Gateway

Technical Resource on Business Development Team

January 2022 - July 2023

  • Exceeded quota every month for a year, selling digital fine art
  • Contributed to expanding self-service tool user base from 0 to 1,500 users in 9 months, personally responsible for 40% growth
  • Developed data dashboards using Looker & Dune Analytics to track product performance and user engagement
  • Served as key liaison between clients and engineering/product management teams driving product roadmaps
  • Generated external financial reports using Snowflake and Pandas for enterprise partners' tax documentation
  • Translated client feedback into actionable insights for new product features

Intertek

Electrical Safety Engineer

January 2021 - January 2022

  • Ensured Google's data center equipment was safe and under electrical safety compliance
  • Tried not to electicute myself everyday. Somedays I was not very successful at that

University of California, Davis

Deep Learning Researcher (Intern)

May 2019 - June 2020

  • Led research team leveraging SOTA computer vision models on drone-captured imagery, achieving 93% classification accuracy
  • Collected large quantities of raw drone data for agriculture yield prediction
  • Managed ML pipeline including preprocessing, training, and testing of multiple CNNs

Ottimate (Formerly PlateIQ)

Software Engineer (Intern)

June 2018 - September 2018

  • Developed computer vision models for invoice layout type detection and field localization, achieving 91% accuracy
  • Managed and processed labeled data from Mechanical Turk, refining dataset for model training
  • Analyzed OCR system errors and developed NLP error correction models, improving accuracy by 10%

TextRecruit

AI Engineer (Intern)

August 2017 - March 2018

  • Developed chatbots for HR using IBM Watson to facilitate company onboarding and recruiting
  • Created and maintained robust automated testing suite for early issue identification and resolution
  • Contributed to more stable and reliable software product through improved testing processes