Vincent Y.

Freelancer

Los Angeles, United States

Experience

Jan 2024 - Present
1 year 11 months

Freelancer

Freelancer

  • Summit Interconnect (2024-05-01 – 2025-10-31):

  • Led Project Echo, a project to utilize LLMs for ITAR classification and information extraction from precision circuit board diagrams as part of Summit’s Alpine Software platform to streamline PCB production

  • Engaged in extensive prompt engineering with GPT, Llama 3, and Mistral, achieving 99% accuracy, 0.986 precision, and 0.998 recall

  • Developed and maintained an end-to-end pipeline on Microsoft Azure GovCloud using OCR software and frameworks such as ABBYY and Docling, pre-/post-processing scripts, and API endpoints for PCB diagram classification

  • Integrated Project Echo into Alpine, resulting in a 50% reduction in latency by replacing manual workflows with LLM-based automation

  • Built a contextual chat platform with RAG architecture on Azure GovCloud using Azure Cosmos DB and Azure AI Search to provide chat summaries and extract order information

  • Experimented with GPT, Mistral, and Claude on Azure with datasets managed in pandas, indexed with FAISS, and hosted on Azure Cosmos

  • Developed a chat summarizer providing summaries in 40 seconds for one year of chat history vs. 120 seconds with Slack’s AI summarizer

  • VM Consultants (2024-03-01 – 2025-05-31):

  • Led a team to develop a smart assistant for EOD technicians using a Llama 3-based model with RAG system

  • Trained RAG models on a 40 GB text dataset for multi-step dialogue, covering data collection, pre-training, and fine-tuning

  • Implemented dataset pre-processing (OCR/text-scanning, text cleaning, chunking, embedding, indexing with FAISS)

  • Established a collaboration environment with Atlassian, Slack, and GitHub for team development

  • Built Raspberry Pi prototypes tested by U.S. Army EOD technicians in field conditions

  • DataAnnotation (2024-01-01 – 2025-01-31; 2025-10-01 – Present):

  • Engaged in model training to analyze and evaluate LLM responses for truthfulness and helpfulness

  • Wrote and corrected model responses to improve accuracy and quality

Nov 2022 - Sep 2023
11 months

NLP Data Scientist

PandoLogic (Now merged with Veritone)

  • Worked on the company’s chatbot system based on Kore.ai for job recruiting
  • Improved chatbot NLP model to boost FAQ intent detection from 45% to 81%
  • Designed and implemented robust JavaScript unit tests to ensure chatbot script functionality
  • Performed extensive prompt engineering and added features: resume filter, parser, summarizer, PII extractor, and slot-filling via OpenAI GPT models
  • Built proof of concept with NLTK and Gensim, demonstrated with LangChain and pydantic
  • Hosted new features with Flask, Swagger, Kubernetes on AWS and demonstrated with Jupyter
  • Deployed a production feature to sanitize customer data by filtering out PII from user resumes
May 2020 - Jul 2022
2 years 3 months

Machine Learning Engineer

Thankful.ai (Now merged with Gladly)

  • Built and improved NLP models for an automated customer service ticketing platform on Google Cloud Platform
  • Boosted text classifier accuracy from 71% to 85% and improved NER F0.5 score from 0.7 to 0.8
  • Performed statistical analysis on model performance data and customer ticket traffic to derive business intelligence
  • Experimented with and debugged prototypes for new chatbot and platform features
  • Developed language detection, keyword extraction, rule-based dependency matching, decision trees for product/FAQ suggestions, and knowledge base scrapers; demonstrated features with Jupyter
May 2019 - Aug 2019
4 months

Machine Learning Intern

Thankful.ai (Now merged with Gladly)

  • Migrated NLP model training from fastText to spaCy, improving baseline accuracy from 65% to 71%
  • Implemented sentiment detection in chatbot text messages and performed clustering analysis for frequent keywords

Summary

Highly skilled NLP Engineer/Prompt Engineer with 5 years of experience in building intelligent NLP systems featuring LLMs.

Proficient in Python and Microsoft Azure cloud environments.

Expertise in LLMs, RAG architecture, prompt engineering, and building conversational agents.

Experience in startup environments with excellent communication skills and ability to gather insight from big data.

Languages

Korean
Native
English
Advanced
Japanese
Intermediate

Education

University of Southern California

MS, Scientists and Engineers · Computer Science · United States

University of Illinois Urbana Champaign

MS · Organic Chemistry · United States

Northwestern University

BA · Chemistry · United States

Certifications & licenses

AI Engineer For Developers Associate Certificate

Datacamp

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