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Vetted Performance Optimization Professionals

Pre-screened and vetted.

PR

Mid-Level Full-Stack Software Engineer specializing in Python/Java microservices and cloud

5y exp
MetaTexas Tech University
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CI

Staff Software Engineer specializing in commerce, checkout, and payments platforms

Beaumont, CA13y exp
ShopifyUC Riverside
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FT

Engineering leader specializing in data platforms and distributed systems

San Francisco, CA12y exp
BrazeCal Poly San Luis Obispo
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MP

Senior Software Engineer specializing in healthcare imaging and FinTech systems

San Jose, CA10y exp
AmazonUniversity of Texas at Austin
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PM

Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms

San Francisco, CA25y exp
NikeNorthwestern University
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TC

Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services

San Francisco, CA6y exp
OpenAIWebster University
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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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YS

Yue Su

Screened

Junior Software Engineer specializing in distributed systems and AI agents

Pittsburgh, PA1y exp
Mechanical and AI Lab, Carnegie Mellon UniversityCarnegie Mellon University

Python backend engineer focused on high-throughput document/PDF processing systems, building end-to-end pipelines that extract structured content for downstream NLP use cases. Demonstrates strong practical MLOps-adjacent infrastructure skills: Kubernetes deployments, GitLab CI, GitOps workflows, and an incremental migration to AWS using EC2/Lambda tradeoffs. Deep hands-on optimization experience (selective OCR, layout-aware extraction, parallelism, caching, idempotency, and backpressure/autoscaling).

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SS

Sai supriya

Screened

Mid-level AI/ML Engineer specializing in LLM alignment, safety, and scalable inference

St. Louis, MO7y exp
AnthropicSaint Louis University

Built and productionized an AWS-hosted, Kubernetes-orchestrated RAG assistant that enables natural-language Q&A over internal document repositories with grounded answers and citations. Demonstrates strong applied LLM engineering: hallucination mitigation, hybrid retrieval + re-ranking, and rigorous evaluation via benchmarks and A/B testing, plus real-world scaling of compute-heavy inference with dynamic batching and monitoring.

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AP

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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PH

Mid-Level Backend Engineer specializing in REST APIs and AWS

SF Bay Area, CA3y exp
AmazonColumbia University

Backend engineer who built a new REST eligibility service at Barclays that unified siloed account logic (card/loan/deposit) and integrated with web/mobile, ultimately serving millions of users daily. Also built an end-to-end LLM-based pharmaceutical care-plan generation tool in a rapid Columbia startup competition, emphasizing configurable design, strict validation, persistence, and robust error handling.

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MK

Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms

Seattle, WA5y exp
AmazonUC San Diego

iOS-focused engineer who led feature development for Amazon Books/Kindle (e.g., Series & Story So Far recaps, Kindle Memories) and introduced pure Swift packages while building sync and content download systems. Also has full-stack experience (React/TypeScript + Node with REST/GraphQL) and strong AWS operations (CDK/CI-CD, CloudWatch, canaries, autoscaling), plus founder experience at GLXY.ai shipping an early hardware MVP (weight sensors) under tight constraints.

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KK

Mid-level Software Developer specializing in cloud data engineering and MLOps

NYC, New York3y exp
AmazonNYU

Software engineer with strong AWS production experience, including an end-to-end historical backfill system exporting ~10PB of CloudWatch logs into a data lake using Step Functions/Kinesis/Lambda/Firehose/Glue. Emphasizes reliability and operability (DynamoDB checkpointing, monitoring dashboards, CI/CD with canary tests) and has also built customer-facing UI work for the Visa Developer Portal using Angular + Spring Boot, plus React/Redux frontend work.

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JG

Jim Glassman

Screened

Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms

Houston, TX16y exp
IBMOhio State University

Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.

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OJ

Ollie Jones

Screened

Executive Unity/XR Engineer specializing in real-time mocap and volumetric streaming

8y exp
Trickshot

Technical Director/Unity Lead who has shipped multiple Meta Quest immersive experiences and built custom Unity editor tooling to solve content-heavy pipeline constraints, enabling artists to push content directly into a Unity sandbox. Also prototyped a Unity restaurant simulation where an LLM drives NPC reasoning and state machines, using RAG and memory augmentation to reduce hallucinations and stuck behaviors.

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AD

Amrit Depaulo

Screened

Executive CTO specializing in AI/ML platforms and enterprise SaaS engineering leadership

San Francisco, CA30y exp
Delos Insurance Solutions

CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.

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BP

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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DS

Executive Product Engineering Leader specializing in AI platforms and high-scale SaaS

Seattle, WA
Know Your PeopleUniversity of Victoria
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ZL

Junior Back-End Software Engineer specializing in Go/C++ and large-scale messaging systems

San Jose, CA2y exp
TikTokUSC
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ZQ

Intern Full-Stack Engineer specializing in AI-driven RAG applications

Menlo Park, CA1y exp
MetaUSC
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MP

Mid-level Full-Stack Software Developer specializing in Java microservices and React on AWS

Texas, USA7y exp
UberSaint Louis University
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RK

Senior Backend Engineer specializing in scalable AWS serverless and data pipelines

Sunnyvale, CA9y exp
AmazonUniversity of Oregon
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