37-Month GenAI-First Career Transformation
Business Ops β GenAI-First Data Analyst & AI Engineer β GenAI Data Engineer + AI Systems β ML Engineer + Local LLM Specialist β Agentic AI Engineer β Senior LLM Engineer
While most candidates learn traditional tools only, this journey integrates GenAI/LLM engineering systematically from Week 1βbuilding production AI systems with LLM SDKs (Gemini, OpenAI, Claude), RAG pipelines, Multimodal AI, and Streamlit by Month 1. Every project includes evaluation-driven development (DeepEval + pytest, RAGAS) and Docker containerization. Progressing through Vector DBs, local LLMs, to MCP + multi-agent orchestration by Month 34.
1099 Reconciliation ETL Pipeline: Live system at Daybright Financial
Status: Active (Months 1-5)
Focus: Python, SQL + LLM SDKs + RAG + Multimodal AI + Streamlit + DeepEval + Docker
Goal: AI Engineer who knows Analytics
Timeline: Months 6-15
Focus: AWS + BigQuery + Vector DBs + RAG Infrastructure + Docker & K8s
Timeline: Months 16-29
Focus: ML + Ollama + Fine-Tuning (PEFT) + NVIDIA DLI
Timeline: Months 30-34
Focus: MCP + LangGraph + Multi-Agent Systems
Timeline: Months 35-37
Focus: LLMOps Evaluation + Production AI
Each project introduces new skills that build on the previous
Production system automating retirement plan distribution reconciliation between enterprise financial systems.
π° $15K+ annual savings β’ β‘ 95% time reduction β’ π Zero errors since deployment
Python β’ pandas β’ openpyxl β’ pytest β’ GitHub Actions CI
Foundation: ETL + Testing + CI/CDAI-Powered PII-Safe Data Intelligence: Natural language analytics for retirement plan operations with PII protection and AI guardrails.
π€ LLM SDK (provider-agnostic) + PandasAI + Pydantic structured outputs + PII guardrails
+ LLM SDK + Streamlit + Pydantic + PII HandlingAI-Powered HR Policy Chatbot: RAG chatbot answering policy questions with cited sources. Auto-escalates to HR when uncertain.
π§ Embeddings + ChromaDB + Semantic Search + RAG Pipeline + Ticket Escalation
+ Embeddings + ChromaDB + RAG + Semantic SearchAI-Powered Distribution Form Validator: Multimodal AI reads retirement plan forms (handwritten checkboxes, signatures), validates, and routes.
ποΈ Gemini Vision SDK + Multimodal AI + Business Rule Validation + Email Automation
+ Multimodal AI (Vision LLM) + Document ProcessingAI-Powered Workflow Demand Analysis: 8+ months of OnBase enterprise data enabling data-driven staffing decisions.
π€ LLM SDK + PandasAI + Plotly + Real production data + Privacy guardrails
π― 8+ months enterprise data β’ π Distribution vs Loan segmentation β’ π¬ AI chat interface
+ Enterprise Real Data + Advanced AnalyticsAI-Powered Streaming Subscription Advisor: Optimizes household streaming spend through AI rotation planning, content search, and savings forecasting.
πΊ Watchmode/TMDB APIs + httpx async + AI Rotation Planner + Cost Analytics
+ External APIs + Consumer UX + Optimization EngineAI-Powered Predictive Trigger Analysis: Defensible research system for small-cap stocks with statistical rigor. Evolves through all 5 career stages.
π¬ SEC Form 4 + Wikipedia + News + DuckDB Lakehouse + Walk-Forward Validation
π 5 trigger types β’ π― Statistical methodology β’ ποΈ Complete LLM career demonstration
+ Statistical Methodology + DuckDB + Async + Multi-Source