Open to opportunities

Chea Sovorn

@cheasovorn

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AI/ML software engineer building LLM-powered RAG and workflow automation for real-world customer operations.

Cambodia

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What I'm looking for

I’m looking to build production LLM systems—RAG, workflow automation, and analytics—with strong engineering mentorship, scalable infrastructure, and measurable impact from day one.

I’m an AI/ML Software Engineer with an M.E. in Computer Science and Technology and IEEE-published applied ML research. I bring hands-on experience turning LLMs into grounded systems that customers can rely on, with a strong emphasis on RAG, vector search, and structured outputs.

As Founder / AI Systems Builder, I designed and implemented an LLM-powered workflow automation platform for multilingual business customer interactions. I built multi-stage RAG using PostgreSQL/pgvector, semantic search, reranking, and an LLM answerability check, plus stateful order-collection flows that can pause, request missing fields, and resume without breaking the user experience.

I also implemented two-tier no-answer detection and human-in-the-loop escalation routing, along with dashboard-backed operations and self-hosted AI infrastructure. Earlier, as a Data Analyst Intern, I analyzed 10M+ SQL records to extract customer behavior insights and support business intelligence reporting.

Experience

Work history, roles, and key accomplishments

Current

Founder, AI Workflow Systems

Current

ChhlatBot

May 2025 - Present (1 year 1 month)

Built an LLM-powered workflow automation platform for business interactions across Facebook, Instagram, Telegram, and webhooks, with multilingual input handling and post-comment auto-replies. Implemented a multi-stage RAG pipeline with answerability checks and stateful order-collection workflows, plus two-tier no-answer detection and human escalation backed by operational dashboards.

RAG Pgvector PostgreSQL LLM Answerability Checks N8n Redis Cloudflare R2 Backup Automation

Data Analyst Intern

Smart Axiata

Jul 2019 - Oct 2019 (3 months)

Analyzed 10M+ SQL records to derive customer behavior insights and support business intelligence reporting. Worked on an add-on service recommendation algorithm for mobile-plan services as part of an intern program project.

SQL Data Analysis Customer Analytics Business Intelligence Recommendation Systems

Education

Degrees, certifications, and relevant coursework

Hunan University

Master of Engineering, Computer Science and Technology

2020 - 2024

Grade: 3.68/4.00

Activities and societies: High Honors; Relevant coursework: Artificial Intelligence Algorithms and Models; Digital Image Recognition; Intelligent Optimization Algorithms.

Earned an M.E. in Computer Science and Technology (Sep 2020–Dec 2024), graduating with 3.68/4.00 GPA and High Honors. Coursework included artificial intelligence algorithms/models, digital image recognition, and intelligent optimization algorithms.