Adam Moskowitz
AI & Data Systems Engineer | Consultant
Building end-to-end AI infrastructure, RAG, vector databases, and multi-agent orchestration.
Let's ConnectWHO I AM
About Me
I came up as someone who loved to code — for a long time I thought writing every line was the whole job. AI changed how I see that. When powerful models are available to anyone, the edge isn't whether you can write the code, it's whether you can architect the right system reliably and safely. Somewhere in my first year out of school, I shifted from coder to systems architect.
These days I build end-to-end AI infrastructure from the ground up. At Skyward, I architected a RAG pipeline that reduced LLM input cost by 97% while scaling to 27,000+ generated pages (+17% impressions, +10% clicks, +18% average rank for a major client).
My sweet spot is the intersection of systems architecture, data engineering, and applied AI. I design BigQuery data warehouses, build RAG pipelines with multi-query retrieval and reranking, develop multi-agent orchestration frameworks, and create internal tools that make complex systems accessible to non-technical teams.
Summa Cum Laude graduate from Stevens Institute of Technology (CS, 3.9 GPA), and I'm currently pursuing an MS in Applied AI at Stevens. Always looking for interesting problems to solve — currently open to full-time and consulting opportunities.
WHAT I WORK WITH
Tech Stack
Languages
ML Libraries
LLM Frameworks & APIs
Vector DBs & Embeddings
AI Techniques
Data & Databases
Data Engineering Tools
Cloud & Infrastructure
Tools & Methodologies
WHERE I'VE BEEN
Work Experience
- •Architected an end-to-end RAG pipeline integrating vector database storage with 100,000+ document embeddings (custom scraping, normalization, and ingestion), multi-query retrieval with reranking, and document-level constraint filtering, reducing LLM input cost by 97% while maintaining client-validated response quality
- •Built a multi-agent orchestration framework coordinating LLM-powered pipelines with quality gates, validation checkpoints, and automated publishing, scaling production workloads to 27,000+ generated pages with measurable downstream impact (+17% impressions, +10% clicks, +18% average rank)
- •Architected a BigQuery data warehouse from scratch with 100+ tables, data governance, schema design, and 5+ automated ETL pipelines, and integrated AI/LLM solutions directly with the firm's data environment via SQL-driven retrieval and analytics
- •Engineered Skyward's AI, automation, and operational Python codebase from the ground up (100,000+ lines of code), establishing core abstractions, deployment patterns, and reusable workflows
- •Developed internal tools using Streamlit for pipeline configuration, cost estimation, data validation, and reporting, enabling non-technical stakeholders to run and monitor AI pipelines
- •Led cross-functional delivery of AI/automation initiatives across 3 major clients, running weekly client meetings and sprint retrospectives while building ClickUp infrastructure (100+ page knowledge base, 25+ reusable templates, 20+ dashboards) for standardized workflows and delivery visibility
- •Acted as primary technical liaison between clients and internal teams, translating business requirements into AI pipeline specifications and facilitating weekly 1:1s to align priorities and drive continuous process improvement
- •Built and deployed 1,000+ production servers across 8 datacenters, managing full hardware lifecycle from assembly through rack integration
- •Configured datacenter infrastructure including power distribution, network switches, and fiber optic cabling
- •Executed hardware troubleshooting and repair operations, diagnosing component failures to minimize downtime
- •Integrated internal systems for database, security, and form management; collaborated with BA, QA, and UAT teams
- •Automated client information processing using C, XML, and HTML; performed ETL into SQL Server
- •Developed programs for client information processing automation, replacing manual methods
- •Upgraded XML-based programs and redesigned DMS processes, improving SQL Server efficiency
WHAT I'VE BUILT
Featured Projects
AI Racer
A 2D racing game where a trained AI model learns to navigate any custom track layout — so fast that it's physically impossible to drive manually.
Handwritten Digit Classifier
A custom CNN tested against noise and rotation to find the limits of what a model can actually learn from isolated handwritten digits.
AI Mosaic Generator
Take a photo, tile it out, and have AI regenerate each section in a different artistic style — all while keeping the overall composition intact.
FOUNDATIONS
My Education
Stevens Institute of Technology
Master of Science in Applied Artificial Intelligence
2026 – 2028 · Hoboken, NJ
Back at Stevens to add theoretical depth to the production intuition I've built in the field. I'm drawn to it for the depth on knowledge graphs and Graph RAG, agent-to-agent communication and agentic pipelines, and the core machine learning fundamentals of training and evaluating models against whatever data you're given.
Stevens Institute of Technology
Bachelor of Science in Computer Science
Graduated May 2024 · Hoboken, NJ
Awards & Scholarships
Relevant Coursework
Certifications
Google Prompting Essentials
Google via Coursera · December 2025
Google ML Engineer Professional Certificate
Google via Coursera · In Progress
WHERE I'M HEADED
Right Now
Here's what I'd tell you if we grabbed coffee today.
Building
At Skyward I lead the AI and data infrastructure — agentic pipelines, RAG systems, and the BigQuery warehouse they run on. Most weeks I'm turning a messy business problem into a system that actually ships.
Learning
I'm currently pursuing an MS in Applied AI at Stevens, expected 2028 — adding theoretical depth to the production intuition I've built, with a focus on knowledge graphs, Graph RAG, and agentic pipelines.
Looking for
Full-time and consulting roles where I can own AI systems end to end — deciding what gets built, how it gets built, and where AI actually belongs.
If that's the kind of problem you're working on, let's talk
LET'S TALK
Let's Connect
I'm currently open to new opportunities in AI/ML Engineering, Data Engineering, Solutions Architecture, and AI Consulting. If you have an interesting problem to solve, I'd love to hear about it.