Adam Moskowitz
AI & Data Systems Engineer | Consultant
Building end-to-end AI infrastructure, RAG, vector databases, and multi-agent orchestration.
Let's ConnectAbout Me
I'm an AI and data systems engineer who builds 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). Always looking for interesting problems to solve. Currently open to full-time and consulting opportunities.
Tech Stack
Languages
ML Libraries
LLM Frameworks & APIs
Vector DBs & Embeddings
AI Techniques
Data & Databases
Data Engineering Tools
Cloud & Infrastructure
Tools & Methodologies
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.
Work Experience
Automation & Technology Lead
Skyward
Apr 2025 — Present · Remote
Leading the design and development of agentic AI systems — RAG pipelines, multi-agent orchestration, and the production data infrastructure behind them.
- •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
Datacenter Technician
InterServer
Jan 2025 — Mar 2026 · Secaucus, NJ
Built and deployed production servers across multiple datacenters.
- •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
Systems & DevOps Intern
Globe Tax Services
May 2023 — Aug 2023 · New York, NY
Integrated internal systems and automated data processing workflows.
- •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
DevOps Intern
Globe Tax Services
May 2022 — Aug 2022 · New York, NY
Automated client processing and improved data management systems.
- •Developed programs for client information processing automation, replacing manual methods
- •Upgraded XML-based programs and redesigned DMS processes, improving SQL Server efficiency
My Education
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
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.