E2E AI Engineering

$ python agent_eval.py
✓ Loading evaluation framework...
✓ Initializing multi-agent system...
✓ Ready for production deployment
Applied AI & Agent Evaluation
30-Day Sprint
Day 1 of 30

Applied AI & Agent Evaluation

This portfolio focuses on:

  • Building LLM agents (tools, RAG, multi-agent)
  • Designing evaluation suites (unit + E2E)
  • Automating monitoring and post-deployment governance
See evaluation patterns See healthcare case study

Featured Projects

A collection of practical AI engineering projects showcasing end-to-end development from data to deployment.

Excel/CSV Chat

RAG-powered Q&A for Excel & CSV files with natural language interface. Get instant insights from your spreadsheets through an intuitive chat interface.

Tiny LLM Fine-tune

Fine-tune DialoGPT-medium with LoRA for efficient instruction following.

FinSent API

High-performance sentiment analysis microservice with sub-100ms latency.

GCP ML Pipeline

End-to-end ML pipeline with Vertex AI and Terraform deployment.

AI Monitor

Weekly automated tracking of AI market advances, new models, and innovations from companies like DeepSeek, Kimi, and more. Multi-agent intelligence system extracts insights and identifies trends.