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Aldric Pinto
Mid-level AI product and data lead specializing in analytics and healthcare AI
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About
Product-minded software engineering lead with a blend of backend, data engineering, cloud observability, and AI product experience. They’ve owned systems end-to-end, from ETL job builders that cut setup time 70% to hybrid-cloud observability workflows that reduced monitoring effort 80%, and also drove an AI marketing feature that improved conversion from 2% to 6%.
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Key Strengths
- End-to-end ownership of backend/data products
- Tech-product bridge across engineering and non-technical stakeholders
- Reduced ETL pipeline setup time by 70%
- Led and delivered through junior/fresher teams under tight deadlines
- Strong system design tradeoff judgment for UX vs latency
- Built async workflow architecture for cloud observability integrations
- Enabled centralized observability across Azure and AWS accounts
- Reduced monitoring effort by 80%
- Shipped ambiguous early-stage AI product features from problem discovery to launch
- Improved program conversion rate from 2% to 6%
- Hands-on incident debugging and RCA
- Identified and fixed large-number/primary-key data integrity bug in JavaScript-SQL flow
- Built AI observability layer with trace capture, bad-answer detection, and reliability testing
Reference Highlights
- owned backend development end to end
- delivered GPUI product
- reduced DE team effort by around 80%
- managed complex Java-to-Python migration
- handled DevOps dependencies effectively
- listens well to team members
- responds swiftly and appropriately
- excellent collaboration
- 10/10 backend and systems design skills
- excellent in ambiguous situations
- took ownership when team was reduced
- strong autonomy
- strong prioritization
- excellent engineering rigor and follow-through
Aldric's references speak for themselves. Let us connect you.
Experience
Education
Skills
Languages
Certifications
Publications
2 publications
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