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Vetted Code Review Professionals

Pre-screened and vetted.

AC

Aesha Choksi

Screened

Director-level Engineering Leader specializing in Cloud Security and Data Platforms

San Francisco, CA20y exp
SysdigCalifornia State University, East Bay

Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.

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SR

Senior DevOps Engineer specializing in Azure/AWS cloud infrastructure and CI/CD

Arlington County, VA11y exp
BoeingSacred Heart University
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MC

Executive Engineering Leader specializing in AI and Financial Services platforms

New York, NY21y exp
Domify AIUniversity of Maryland, College Park
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SK

Staff-level Full-Stack/Platform Engineer specializing in cloud, serverless, and AI search

Remote17y exp
GenentechJawaharlal Nehru Technological University
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SM

Mid-level Full-Stack Developer specializing in Java microservices, React, and cloud AI platforms

San Francisco, CA6y exp
ShopifySaint Louis University
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SN

Intern Software Engineer specializing in AI/ML and LLM applications

Los Angeles, CA1y exp
AppleUSC
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PH

Director of Cybersecurity specializing in AI and Cloud Security

Pleasanton, CA19y exp
OracleNorthwestern Polytechnic University
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RE

Robert Elwell

Screened

Executive Engineering Leader specializing in cloud platforms, DevOps, and security

18y exp
MacStadiumUniversity of Texas at Austin

Senior engineering/CTO-level leader with hands-on delivery of serverless, event-driven cloud governance platforms (deployed across multiple GE business units) and experience building adaptable usage-based billing at UserTesting. Has advised startups (including CaseText during YC) and supported fundraising and acquisition due diligence, including investor materials for a smart cooler custody management system presented to BARDA during Operation Warp Speed.

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DM

Mid-level Software Engineer specializing in cloud automation and data/ETL platforms

Arlington, Virginia6y exp
AmazonVirginia Tech

Backend engineer with AWS multi-region production experience building APIs and workflow automation for data center/storage hardware operations (firmware orchestration, maintenance checks, ticketing, dashboards). Also shipped an internal AI chat tool that parses hardware runbooks and incorporates user feedback to retrain the model, and has a strong testing/quality discipline (95%+ coverage) plus database performance tuning via indexing and query monitoring.

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KV

Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices

San Francisco, CA5y exp
MetaUniversity of Texas at Arlington

Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).

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MM

Mason McBride

Screened

Junior Software Engineer specializing in AI, game theory, and blockchain protocols

Los Angeles, CA2y exp
All In BitsUC Berkeley

Backend engineer who built gnocal, a ~150-line stateless Go service that turns on-chain event data into standards-compliant .ics calendar feeds consumable by Apple/Google Calendar, deployed on Fly.io. Also refactored MCTS into Monte Carlo Graph Search (Python-to-Rust) using deterministic tests and state canonicalization to handle transpositions, and implemented decentralized role-based ACLs in Gno for a smart-contract web hosting network (gno.land / All in Bits).

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DL

Junior Machine Learning Engineer specializing in LLMs, computer vision, and robotics

Tirat Carmel, Israel1y exp
FusmobileUCLA

Built and deployed an agentic, multimodal LLM system that automates privacy redaction pipelines (audio/video/tabular) using LangChain orchestration and a closed-loop self-correction design. Personally implemented and performance-optimized core CV tooling (face blurring with tracking/Kalman filter) achieving >100 FPS on CPU, and validated reliability with golden-dataset benchmarking across 100+ privacy intents and measurable redaction metrics.

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LY

Executive Mobile Software Engineer & Founder specializing in iOS, AI developer tools, and telecom

Wellesley, MA23y exp
CodeNext.aiChinese Academy of Sciences
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WC

Junior Software Engineer specializing in healthcare data and LLM-powered workflows

Verona, WI2y exp
Epic SystemsCarnegie Mellon University
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TB

Mid-Level Software Engineer specializing in microservices, React, Python, and iOS

Bangalore, India5y exp
AmazonSGGS Institute of Engineering and Technology
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SG

Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms

San Francisco, CA6y exp
ShopifyAuburn University at Montgomery
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ST

Mid-level Full-Stack Python Developer specializing in cloud-native microservices

USA6y exp
ShopifyUniversity of Illinois Springfield
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RC

Technology Executive specializing in AI-native engineering and cybersecurity governance

Remote, VA17y exp
Cyber FoundryFresno State
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