Fai H.

Key Skills

Software

AWS SageMaker

Top Subject Matter

LLM agent workflows

retrieval-augmented generation

analytics content and insight generation

Top Data Types

Text

Top Task Types

Function Calling

Text Generation

Tracking

Classification

Freelancer Overview

Goodway Group — Agentic AI Engineer (multi-agent LLM orchestration and prompt/RAG optimization). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LangChain and LangGraph, AWS (Lambda, and DynamoDB. Education includes Bachelor of Science, University of California, Los Angeles (UCLA) and Certificate Program, Caltech CTME. AI-training focus includes data types such as Text and labeling workflows including Function Calling, Text Generation, and Tracking.

Labeling Experience

Agentic AI Engineer - Goodway Group

AWS SageMakerTextTrackingClassification

Led the design and implementation of multi-agent AI systems to automate multi-step decision workflows using LangChain and LangGraph. Developed LLM-powered autonomous agents to plan, reason, and execute tasks across internal and client-facing tools. Integrated AWS services and serverless pipelines to ensure reliable orchestration, observability, and scalable performance for high-volume agent actions. • Multi-agent workflow automation with LangChain/LangGraph • LLM agent orchestration, prompt tuning, and RAG patterns • AWS serverless integration (Lambda, DynamoDB, SQS/SNS, API Gateway) • Monitoring with CloudWatch and KPI/cost dashboards via LangSmith

2025 - Present

Goodway Group — Agentic AI Engineer (multi-agent LLM orchestration and prompt/RAG optimization)

TextFunction Calling

Led the design and implementation of multi-agent LLM systems that automate multi-step decision workflows across marketing and analytics platforms. Built LLM-powered autonomous agents for planning, reasoning, and executing tasks including contextual content generation, campaign optimization, suggestions, and data-driven insight extraction for internal and client-facing tools. Tuned prompts and implemented retrieval-augmented generation (RAG) patterns to improve precision and relevance of agent outputs in analytics dashboards. • Multi-agent workflow automation for LLM decision processes • Prompt tuning and RAG integration for higher-quality outputs • Retrieval and data-driven insight generation • Integration with AWS orchestration services for scalable agent execution

2025 - Present

Jeeva — AI Software Engineer (LLM services and autonomous agent workflows for outreach generation)

TextText Generation

Architected LLM-centric AI services to analyze customer data and generate automated outreach content aimed at improving personalization and engagement metrics. Designed and deployed autonomous agent workflows that coordinate multi-step actions such as data retrieval, sentiment analysis, and personalized message generation across distributed services. Tuned prompts and implemented retrieval-augmented generation (RAG) patterns to enhance relevance and accuracy of automated user interactions. • Automated outreach content generation from customer data • Sentiment analysis and personalized message generation • Prompt tuning and RAG for improved interaction accuracy • Monitoring/observability to support model and infrastructure performance

2024 - 2025

Education

Work History