2025 - NOW
AI & Data Engineering
AAA / United States
Work across production AI workflows spanning backend APIs, asynchronous processing, retrieval, persistent data systems, evaluation and observability.
- Translate ambiguous AI workflows into measurable engineering systems.
- Build within production AI, retrieval, evaluation, asynchronous workflow, and data-system boundaries without exposing confidential implementation details.
- Production AI
- Evaluation
- Retrieval
- Async Processing
- Data Systems
Previous
Data Engineering and Product Analytics
AdaIQ
Data engineering and product analytics work focused on turning product behavior into usable signals.
- Structured product and operational data for analysis.
- Connected analytics work to practical product questions.
- Data Engineering
- Product Analytics
Academic
Data Analytics Engineering
Northeastern
Graduate-level data analytics engineering foundation across data systems, analysis, and applied engineering workflows.
- Built foundations across data analysis, data systems, and engineering methods.
- Connected analytical reasoning to implementation-focused project work.
- Data Analytics
- Engineering Systems
Earlier
Enterprise Engineering and Data Systems
Cognizant
Enterprise engineering and data systems experience in structured delivery environments.
- Worked within enterprise software delivery constraints.
- Built practical grounding in maintainable engineering systems.
- Enterprise Engineering
- Data Systems