Vetted SQLAlchemy Professionals

Pre-screened and vetted.

ZW

Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems

Shoreline, WA8y exp
MetaColumbia University
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JD

Senior Software Engineer specializing in backend distributed systems

Milpitas, CA12y exp
MetaUC Berkeley
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TM

Senior Python Developer specializing in FinTech and RegTech payment systems

San Francisco, CA10y exp
StripePrinceton University
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CW

Senior Applied AI Platform Engineer specializing in RAG and LLM systems

Los Angeles, CA11y exp
VercelUniversity of Toronto
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JJ

Senior Data Engineer specializing in cloud data platforms and real-time streaming

Cape May, NJ13y exp
AmazonNJIT
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UM

Upender Mula

Screened

Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech

San Francisco, CA5y exp
StripeSaint Louis University

Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.

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MX

Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations

Mountain View, CA9y exp
GoogleMcMaster University
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AV

Senior Full-Stack Software Engineer specializing in AI voice agents and scalable web platforms

Palo Alto, United States10y exp
Retell AIMacquarie University
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RS

Senior Engineering Leader specializing in AI/ML, LLM agents, and consumer platforms

Mountain View, CA21y exp
MetaBrigham Young University
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AT

Senior Python Engineer specializing in cloud infrastructure, media services, and IoT

Seattle, WA17y exp
AppleUniversity of Waterloo
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MJ

Senior Full-Stack Python Engineer specializing in AI/ML

Chicago, IL11y exp
DropboxStanford University
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Garland, TX14y exp
AmazonUniversity of Texas at Dallas
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ME

Senior AI/ML Engineer specializing in generative AI and recommendation systems

Seattle, WA15y exp
TwitchUniversity of Waterloo
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Remote14y exp
AmazonUniversity of Texas at Dallas
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BK

Senior Software Engineer specializing in distributed systems and cloud infrastructure

New York, NY8y exp
GoogleNYU Tandon School of Engineering
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CB

Senior Software Engineer specializing in cloud-native microservices and large-scale backend systems

Houston, TX10y exp
GoogleUniversity of Texas at Austin
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Denis Siminiuc - Junior Research Assistant specializing in LLMs, NLP, and data systems in Cambridge, MA

Junior Research Assistant specializing in LLMs, NLP, and data systems

Cambridge, MA3y exp
MIT CSAILMIT

Software-focused candidate who built a data monitoring pipeline during a hedge fund internship, integrating real databases and an email API to notify teams when data was ready. Comfortable working through legacy/scrappy code and uses LLMs to accelerate comprehension and delivery, with an emphasis on thorough testing and clear communication with stakeholders/customers.

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MV

Senior Full-Stack Software Engineer specializing in scalable web and cloud systems

New York, NY10y exp
AmazonBrown University

Full-stack front-end leaning engineer who built a browser-based SMS engagement platform for student outreach at NextGen Nest, integrating Twilio, React, Node.js, PostgreSQL, and Socket.IO. They pair product impact with practical debugging and UI quality work, including fixing elusive third-party browser issues and rebuilding inaccessible React components into more reliable, state-driven interfaces.

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SL

Mid-level Software Engineer specializing in backend systems and AI platforms

California, USA5y exp
StripeUniversity of Central Missouri

Backend/AI engineer currently at Stripe building Minions, an internal LLM-based developer agent that automates code generation, bug fixes, and PR creation. They combine strong production LLM architecture skills with reliability engineering, having improved routine PR merge times by ~40-45%, lowered post-merge bug rates by 12%, and previously built an invoice-processing pipeline that achieved 91% straight-through processing in a B2B payments context.

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