Vetted SQL Professionals

Pre-screened and vetted.

AH

Senior advertising sales leader specializing in digital marketing and AdTech

Washington, DC12y exp
FreelanceGeorgetown University
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YA

Mid-level Software Engineer specializing in full-stack and AI-enabled applications

USA4y exp
NVIDIAFlorida State University
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DD

Senior Software Engineer specializing in Python and AWS cloud backend systems

Austin, TX8y exp
Royal.ioUSC
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RD

Mid-level Software Engineer specializing in systems, CUDA, and robotics/AI

Santa Clara, CA2y exp
NVIDIAGeorgia Tech
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KC

Staff Software Engineer specializing in Healthcare SaaS and real-time systems

Seattle, WA11y exp
AmazonMonash University
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QG

Staff Software Engineer specializing in FinTech and scalable distributed systems

Menlo Park, CA12y exp
RobinhoodAugusta University
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MM

Mid-level Solutions Engineer specializing in ads platforms and ML-driven marketing systems

San Jose, CA6y exp
ByteDanceUniversity of Florida
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MK

Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps

4y exp
NVIDIAFlorida State University
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NS

Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference

New York city, NY4y exp
PerplexityCleveland State University
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BW

Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems

Seattle, WA10y exp
eBayUniversity of Illinois Urbana-Champaign
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AD

Director of Platform specializing in go-to-market and portfolio value creation

Menlo Park, CA8y exp
The Chernin GroupDuke University
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BE

Director-level Product Manager specializing in mobile, marketplace, and enterprise SaaS

Apex, NC28y exp
SAPNorth Carolina State University
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ZW

Senior Software Engineer specializing in distributed systems, AI platforms, and data infrastructure

Newark, CA15y exp
NetflixWestern Governors University
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DC

Senior Software Engineer specializing in AI backend platforms and FinTech systems

Hoboken, NJ11y exp
DoorDashOhio State University
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KD

Kanaad Deshpande

Screened ReferencesStrong rec.

Intern Software Engineer specializing in distributed systems and cloud infrastructure

San Francisco, CA1y exp
Sigma ComputingUC San Diego

Built and operated a production warehouse metadata collection platform at Sigma Computing, integrating Go/gRPC services with a TypeScript backend and MySQL, with strong emphasis on idempotency, retries, bounded-concurrency job queues, and Datadog-based observability. Also created Kurral (kurral.com), an AI agent runtime security and observability/governance SDK/proxy concept, iterating via pilot-customer feedback and market research; targeting founding engineer roles with $180–200k base and ~2–5% equity.

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Mike Henniger - Staff Software Engineer specializing in scalable backend and full-stack web systems in Burlingame, CA

Mike Henniger

Screened ReferencesStrong rec.

Staff Software Engineer specializing in scalable backend and full-stack web systems

Burlingame, CA32y exp
MetaLakehead University

Frontend-leaning full-stack product engineer with IMVU experience who designed both user-facing flows and the production telemetry behind them. Most notably, they built a JavaScript crash detection system using signature-based aggregation and Redis that helped reduce crash volume from millions per day to tens of thousands, and they pair that reliability mindset with reusable UI architecture and onboarding design for consumer social products.

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AS

Akshat Shah

Screened ReferencesStrong rec.

Entry-level Software Engineer specializing in full-stack and AI systems

Los Angeles, CA1y exp
Integrated Media Systems CenterUSC

Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.

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Manaswini Gogineni - Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development in San Francisco, CA

Manaswini Gogineni

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development

San Francisco, CA2y exp
CiscoUniversity of Wisconsin–Madison

Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.

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SM

SOURABH MISHRA

Screened ReferencesModerate rec.

Senior Software Engineer specializing in FinTech and distributed systems

Seattle, WA6y exp
AmazonUniversity of Cincinnati

Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.

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DB

David Besemer

Screened

Executive Technology Leader (CTO/VP Engineering) specializing in enterprise AI and data platforms

New York, NY25y exp
CapeRensselaer Polytechnic Institute

Freelance CTO with a track record of founding and building early web products, including an award-winning baby website creation platform that was acquired by eStyle after gaining traction via retail/mail-order distribution and PR. Also built a sports event text-alert product, engineering around missing data APIs via a replaceable scraping layer.

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QL

Qianfan Luo

Screened

Junior Software Engineer specializing in backend systems and AI/ML pipelines

San Francisco, CA2y exp
Persona IdentitiesCarnegie Mellon University

Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).

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