Vetted PostgreSQL Professionals

Pre-screened and vetted.

ZM

Mid-level AI/ML Engineer specializing in generative AI, LLMs, and MLOps

Los Angeles, CA6y exp
NVIDIACalifornia State University, Dominguez Hills
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AB

Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices

CA, USA6y exp
NVIDIAConcordia University Wisconsin
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AM

Mid-level Software Engineer specializing in full-stack and distributed backend systems

San Francisco, CA5y exp
StripeSaint Louis University
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JH

Senior Full-Stack Software Engineer specializing in web platforms and AI-enabled experiences

Springville, CA8y exp
MetaWest Virginia University
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SS

Mid-level Applied AI Engineer specializing in LLMs, MLOps, and real-time AI systems

CA, USA3y exp
Google DeepMindUniversity of North Texas
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WY

Senior Software Engineer specializing in Applied AI and scalable backend systems

6y exp
RampDuke University
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AC

Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation

Chicago, IL34y exp
QBmetricsStanford University
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WG

Senior Software Engineer specializing in frontend architecture and AI-enhanced developer tools

Raleigh, NC7y exp
GitHubNorth Carolina State University
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AG

Senior Software Engineer specializing in cloud security and identity management

Chicago, IL8y exp
AmazonUniversity of Illinois Urbana-Champaign
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AD

Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics

Corpus Christi, TX11y exp
MN InfotechNYU
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JW

Senior Product & Application Support Leader specializing in enterprise SaaS and cloud platforms

San Francisco Bay Area13y exp
AmazonPurdue University
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BT

Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms

Remote10y exp
SnowflakeUniversity of Texas at Austin
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SU

Principal/Staff Engineer specializing in platform architecture, AI/ML, and distributed systems

18y exp
WorkWise AIGeorgia Tech
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BL

Senior Full-Stack Engineer specializing in AI and LLM applications

Denton, TX10y exp
CognizantPrinceton University
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MC

Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS

Seattle, WA9y exp
Amazon
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NK

Noelle Keto

Screened

Intern/Student Software Engineer specializing in full-stack development, AI/ML, and quantitative finance

Cambridge, MA0y exp
BarclaysHarvard University

Software engineering intern who built an internal AI-agent automation using the Gemini API to reduce manual CRM data entry, iterating prompts closely with analysts to address precision concerns. Also worked on a medical image-diagnostics LLM project involving fine-tuning and benchmarking multiple model approaches, and has quant/sales-trading experience building automated pricers for complex options and persuading sales teams to adopt them with ROI-focused metrics.

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PP

Entry-level Supply Chain & Test Engineer specializing in warehouse automation and robotics

1y exp
Procter & GambleMichigan State University

P&G operator who is also building and selling an AI receptionist (voice agent) SaaS for healthcare/service clinics, using EHR + calendar API compatibility to target accounts and letting the Voice AI run parts of the demo to prove value. Has already closed and deployed to two clients in the last two months, with production impact via reduced front-desk overhead and automated scheduling/FAQs, and brings a structured, scalable deployment/process mindset from global WMS rollouts.

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LC

Lewis Chen

Screened

Mid-Level Software Engineer specializing in cloud infrastructure and data systems

Sunnyvale, CA4y exp
GoogleUC Berkeley

Backend engineer who helped redesign and refactor Forma’s backend during an app rewrite, emphasizing modularity, maintainability, and A/B testing support while delivering feature parity on a quarter-long timeline. Led a careful database migration using parallel databases with schema differences, validating integrity via staging and SQL checks, and has experience debugging subtle computer-vision overflow edge cases.

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TB

Thomas Baker

Screened

Senior Full-Stack Engineer specializing in serverless AWS and event-driven systems

Dallas, TX12y exp
AmazonUniversity of Texas at Austin

Backend/data engineer with experience at AWS and Intuit building and operating production serverless systems and data pipelines. Delivered an internal AWS TV video-processing platform using Step Functions/Lambda/S3/DynamoDB with strong reliability and cost controls, and built Glue-based ETL for compliance/risk events (Kafka to partitioned Parquet). Also modernized legacy compliance systems into Java/Node event-driven services and has demonstrated measurable SQL tuning impact (200s to 20s).

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KC

Mid-level Data Engineer specializing in AI/ML platforms and cloud data pipelines

USA4y exp
MetaTexas Tech University

Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.

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HC

Hernan Chalco

Screened

Senior Software Engineer specializing in eCommerce payments and integrations

San Jose, CA7y exp
AdyenUC Berkeley

Solutions/implementation-focused engineer with payments expertise (Adyen headless Magento integrations, 3DS components) who also builds and troubleshoots agentic LLM workflows using the OpenAI Agents SDK. Experienced in pre-sales technical validation and in tailoring live demos/workshops—e.g., pivoted a Quantum Metric workshop from custom JavaScript instrumentation to no-code analytics based on audience needs.

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FC

Executive technology leader specializing in AI products and enterprise platform modernization

Ashburn, VA12y exp
MaigentMIT

Four-time founder with hands-on experience inside angel- and venture-backed executive teams, plus accelerator mentorship experience. Brings a practical, customer-validation-driven approach to company building, with strong insight into early-stage team dynamics and investor ecosystems.

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