Jason Valenzano
AI Tech Lead & Solutions Architect
Building intelligent AI systems using Vertex AI, Cloud Architecture, and LLM technologies to solve complex problems
Professional Experience in AI and Cloud Architecture
Technical Skills - Vertex AI, Cloud Architecture & Development
An honest self-assessment. Most people won't publish gaps — this signals confidence and self-awareness.
Strong Technical Skills
Confident, daily use
- Vertex AI / Gemini
- Multi-agent Systems
- Cloud Architecture (GCP)
- RAG Pipelines
- Prompt Engineering
- Python / FastAPI
- PostgreSQL
- Cloud Run / Cloud Functions
- Technical Leadership
- Architecture Documentation (ADRs)
Moderate Technical Skills
Capable, occasional use
- Frontend Development (React/Next.js)
- DevOps / CI-CD
- Data Engineering
- Kubernetes
- AWS Services
- TypeScript
- Terraform
- LangChain / LlamaIndex
Gaps Technical Skills
Honest about what I don't have
- Consumer Products
- Mobile Development
- Growth Marketing
- ML Model Training (fine-tuning)
- Hardware / IoT
AI Projects - LLM, Cloud, and Architecture
NEXUS - NEPA Expert User System - AI and Software Development Project
AI-powered system for analyzing public comments on NEPA environmental assessments. Uses Vertex AI Gemini to extract structured data into a 9-field PIC schema.
HIGHLIGHTS
- 1,364% faster than performance targets
- $0.006 per comment cost
- Production deployment for USDA Forest Service
FireWatch AI - AI and Software Development Project
Multi-agent wildfire monitoring system built with Google ADK. Coordinates specialized agents for satellite data analysis, weather prediction, and alert generation.
HIGHLIGHTS
- Real-time satellite imagery processing
- Weather pattern correlation
- Automated alert distribution
Cloud Run LangChain RAG - AI and Software Development Project
Production-ready RAG pipeline deployed on Cloud Run. Features vector search with Vertex AI Matching Engine and grounded response generation.
HIGHLIGHTS
- Sub-second query response
- Source attribution for all answers
- Serverless scaling
AI YouTube Knowledge Base - AI and Software Development Project
Transforms YouTube content into searchable knowledge bases using transcription, embedding, and semantic search.
HIGHLIGHTS
- Automatic transcription
- Semantic search over video content
- Citation with timestamps
Instant Fit Assessment
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Professional Certifications
Google Cloud Associate Cloud Engineer
Google Cloud • 2024
AWS Certified Developer - Associate
Amazon Web Services • 2023
Microsoft Security, Compliance, and Identity Fundamentals
Microsoft • 2023
AWS Certified Cloud Practitioner
Amazon Web Services • 2023
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