Vetted SQL Query Optimization Professionals

Pre-screened and vetted.

RY

Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments

California, USA6y exp
AmazonConcordia University Wisconsin
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HB

Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms

Kirkland, WA9y exp
IndeedUniversity of Washington
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JW

Junior Data Analyst specializing in experimentation, data quality, and ML analytics

Los Angeles, CA2y exp
AppleCornell University
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JH

Staff-level Software Engineer specializing in .NET microservices for FinTech and Healthcare

Chicago, IL12y exp
AccenturePurdue University
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PK

Mid-level AI/ML Engineer specializing in RAG, NLP, and MLOps

Dallas, TX5y exp
MetaUniversity of North Texas
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AP

Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech

San Francisco, CA5y exp
StripeUniversity of Cincinnati
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Tyler Liang - Senior Full-Stack Engineer specializing in real-time collaboration SaaS in Bellevue, WA

Senior Full-Stack Engineer specializing in real-time collaboration SaaS

Bellevue, WA10y exp
LinearSyracuse University
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Varun Panigrahy - Mid-level Software Engineer specializing in distributed systems and big data in Sunnyvale, CA

Mid-level Software Engineer specializing in distributed systems and big data

Sunnyvale, CA3y exp
MicrosoftUniversity of Massachusetts Amherst
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RH

Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms

Austin, TX12y exp
AltorosTexas State University
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OM

Staff Software Engineer specializing in FinTech platforms and distributed systems

Remote14y exp
SivoBaylor University
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MD

Mid-level Software Engineer specializing in backend, ML platforms, and FinTech

California, USA5y exp
MetaSaint Louis University
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YL

Senior Software Engineer specializing in cloud-native microservices and observability

Dublin, CA20y exp
OracleUniversity of Waterloo
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Sumer Joshi - Senior Full-Stack Engineer specializing in backend systems and AI applications in Remote

Sumer Joshi

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in backend systems and AI applications

Remote13y exp
MercorSanta Clara University

Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.

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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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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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AD

Alfred Dwan

Screened

Intern Software Engineer specializing in AI, cloud-native systems, and MLOps

Hong Kong, China1y exp
PredictXNYU

Backend/full-stack engineer who has owned a production recruiting platform end-to-end (TypeScript/Node microservices for scraping/cleaning/serving job data, RabbitMQ for spike handling, MongoDB + Elasticsearch, AWS containers) with pragmatic CI, logging/alerts, and Docker Compose E2E tests. Also operated high-traffic event pipelines during a Binance internship using Kafka + Redis idempotency, with strong observability and failure-mode/rollback/degradation practices, and has experience designing developer-friendly REST APIs and resilient browser automation for E2E flows.

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IU

Isiah Udofia

Screened

Junior Full-Stack/Product Builder specializing in AI and digital health

Remote, USA2y exp
Absolute RestYale University

Co-founded academic-index (10,000+ users) and built a full-stack Next.js 14 document upload + client-side OCR + Gemini-powered analysis pipeline with strong production reliability (custom monitoring, retries, quality gates) and measurable gains (accuracy ~94%→98.5%, failures down ~60%). Also owns end-to-end biometric data visualization and a data-driven brand/UX overhaul at pre-seed health/performance startup Absolute Rest, with a background running a multi-client dev studio (Zen Digital).

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Amrita Pritam - Senior Backend Engineer specializing in distributed microservices and event-driven systems in Fremont, CA

Amrita Pritam

Screened

Senior Backend Engineer specializing in distributed microservices and event-driven systems

Fremont, CA10y exp
MicrosoftManipal Institute of Technology

Backend engineer with production experience building a high-scale notification pipeline (~20M/day) using Java/Dropwizard with Kafka and Azure Queue, including DLQ/poison-message handling and the outbox pattern for reliability. Also led a batch-based migration of Yammer Messaging user data from PostgreSQL to Azure Cosmos DB for global multi-region scale, addressing throttling and network failures via retries, escalation policies, and dynamic throughput tuning.

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SG

Sai Gundeti

Screened

Mid-Level Backend Software Engineer specializing in distributed systems and billing platforms

San Francisco, California5y exp
UberUniversity of Cincinnati

Full-stack engineer with Uber experience building finance/billing reconciliation systems: shipped and owned an internal operations dashboard (Next.js App Router/TypeScript) that cut investigation time from hours to minutes and improved load time from ~6–7s to <2s. Deep in Postgres modeling and performance (sub-200ms optimized queries) plus durable event-driven workflow orchestration with idempotency, retries/backoff, DLQs, and reconciliation jobs; also has seed-to-Series C startup experience emphasizing end-to-end ownership.

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BhanuPrasad Pothagani - Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems in Bay Area, CA

Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems

Bay Area, CA5y exp
MetaFlorida Institute of Technology
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KR

Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems

Allen, TX4y exp
AnthropicUniversity of North Texas
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