Vetted Code Review Professionals

Pre-screened and vetted.

Vineet Jujjavarapu - Mid-level Software Engineer specializing in cloud-native data platforms in College Park, MD

Mid-level Software Engineer specializing in cloud-native data platforms

College Park, MD3y exp
University of Maryland, College ParkUniversity of Maryland, College Park

Software engineer with hands-on experience using AI coding assistants and LangChain-based agent workflows in RAG/LLM projects. Stands out for combining practical multi-agent experimentation with strong grounding in system design, distributed systems, and production-minded validation of AI-generated outputs.

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AV

Junior Software Engineer specializing in backend microservices and cloud platforms

USA2y exp
IBMCalifornia State University, Long Beach

Backend-oriented software engineer who uses AI as a disciplined engineering accelerator rather than a replacement for judgment. They have hands-on experience coordinating multiple AI tools/agents across code generation, testing, debugging, and review, with strong emphasis on security, scalability, and human validation before production use.

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AG

Aditee Gaddam

Screened

Mid-level Full-Stack Software Engineer specializing in cloud and AI systems

United States3y exp
SyscoGeorge Mason University

Built internal product features at Sysco's Collab Cafe across React/TypeScript frontend and Spring Boot/PostgreSQL backend, including a full project invite flow and an early AI-style project matching capability. Stands out for owning features end-to-end, improving React dashboard performance with profiling and component refactoring, and making pragmatic 0→1 tradeoffs to ship quickly.

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Yuanmu Li - Junior Software Engineer specializing in full-stack web applications in Sunnyvale, CA

Yuanmu Li

Screened

Junior Software Engineer specializing in full-stack web applications

Sunnyvale, CA2y exp
WalmartPenn State University

Full-stack product engineer in the health and wellness space who has owned prescription workflow features end to end, including React/TypeScript frontend work and GraphQL-backed API aggregation across messy downstream systems. Also shipped an internal OpenAI-powered support assistant with grounded context, structured outputs, validation, and human-in-the-loop safeguards—showing strong practical judgment at the intersection of healthcare workflows and applied AI.

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BD

Brooks DuBois

Screened

Senior Full-Stack Engineer specializing in web platforms across FinTech and automotive

Bridgeport, CT8y exp
FreelanceKeene State College

Frontend engineer with production experience at UWM and Ford.com, focused on complex UI architecture, dynamic form systems, and high-performance interactive experiences. Stands out for rebuilding problematic React/Redux patterns into reactive RxJS-driven architectures, with measurable wins like reducing an 8-second, 5,000-request widget to a fast, stable experience, and for also building advanced personal projects in Solid.js, mapping, and WebGL.

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Pallavi Thorat - Mid Software Engineer specializing in backend, cloud, and AI systems in USA, USA

Mid Software Engineer specializing in backend, cloud, and AI systems

USA, USA3y exp
JPMorgan ChaseCalifornia State University, Fullerton

Front-end engineer with strong experience building sophisticated, data-heavy financial dashboards for finance analysts and business stakeholders. Stands out for combining React/Next.js architecture, D3.js visualization, and browser-level performance tuning to deliver measurable impact, including ~40% operational efficiency improvement and ~35% lower session drop-off.

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SR

Sahithi Reddy

Screened

Mid-level Machine Learning Engineer specializing in LLM-powered products

Dallas, TX4y exp
VerizonUniversity of Massachusetts Dartmouth

Verizon engineer who productionized an LLM-based personalization capability for a customer-facing digital platform, owning the path from success metrics through scalable APIs, A/B validation, and post-launch monitoring (latency/accuracy/drift). Experienced in diagnosing and fixing real-time LLM/RAG workflow issues under peak load, and in enabling adoption via tailored technical demos/workshops and sales support materials.

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KS

Kumud Sharma

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and AI integrations

USA6y exp
IntuitIndiana University

Backend engineer who has delivered large, measurable performance wins (10x throughput, 67% latency reduction) by combining Flask microservices, Redis caching, and AWS autoscaling/observability. Has hands-on depth in SQLAlchemy/Postgres optimization and production scaling pitfalls (cache consistency, connection exhaustion), plus experience deploying real-time ML inference (XGBoost) on AWS Lambda and building secure multi-tenant Kubernetes isolation.

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RG

Rohan Gore

Screened

Intern AI/ML Engineer specializing in agentic systems and full-stack development

New York City, NY0y exp
MARV CapitalNYU

Built and scaled a multi-agent LLM automation pipeline during a fintech internship, growing from a rapid 1-week proof-of-concept to a 15+ agent hierarchical system that cut market brief report generation time from ~5 hours to under 30 minutes. Hands-on with agent frameworks (Haystack, CrewAI, LangChain) and experienced in debugging agent communication issues via sandboxed modular testing and context/token management; also regularly gives architecture-first technical demos at multiple hackathons and university events.

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LB

Larry Beck

Screened

Executive CTO specializing in cloud platforms, SaaS, and venture building

North Atlanta, GA22y exp
PharusOracle Corporation

Senior technology/executive leader with 30+ years building and scaling mission-critical platforms across blockchain, cloud, cybersecurity, and fintech, including leading 100+ person global teams and managing $100M P&Ls. Founded Pharus (2022) after driving Web2-to-Web3/DeFi/metaverse initiatives at SDK Co, using a first-principles, PoC-driven approach to deliver secure, compliance-aware transformations (GDPR/NYDFS) and multi-million-dollar optimizations, with a focus on quantum-resistant Web3 and ethical AI governance.

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Austin Patten - Senior Unity Engineer specializing in mobile games and interactive apps in Erie, CO

Austin Patten

Screened

Senior Unity Engineer specializing in mobile games and interactive apps

Erie, CO13y exp
PeopleFunUniversity of North Texas

Lead engineer at PeopleFun who owned a data-driven limited-time event system for Wordscapes Search, using Addressables and asset bundles to ship new live content without app updates. Their work was tied to improved retention and stronger player engagement, and they also bring pragmatic AI-assisted development practices plus early VR/Meta Quest prototyping experience.

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Mohit Sharma - Principal Salesforce Architect specializing in healthcare and patient engagement in Ewing, NJ

Mohit Sharma

Screened

Principal Salesforce Architect specializing in healthcare and patient engagement

Ewing, NJ15y exp
IBMUttar Pradesh Technical University

Salesforce lead architect working on a large J&J healthcare implementation, with hands-on ownership of security architecture, identity modernization, and Experience Cloud design in a HIPAA-sensitive environment. Particularly notable for leading a SAML-to-OpenID Connect rollout and driving reusable LWC architecture across patient and provider portals while coordinating closely with identity, DevOps, QA, and business stakeholders.

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ST

Senior Software Engineer specializing in backend systems and data platforms

Texas, USA5y exp
WalmartNew England College

Software developer who uses AI pragmatically across the full stack to accelerate coding, testing, debugging, and documentation while maintaining strong human oversight. Stands out for treating AI output like any other code source—reviewing for architecture fit, security risks, performance, and standards before integration—and for coordinating multiple AI tools across backend, frontend, and test workflows.

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Jessy Kattupalli - Mid-level Full-Stack Java Developer specializing in enterprise web applications in West Haven, CT

Mid-level Full-Stack Java Developer specializing in enterprise web applications

West Haven, CT4y exp
JPMorgan ChaseUniversity of New Haven

Backend/full-stack engineer with hands-on experience building enterprise-scale real-time log analysis platforms using Spring Boot, Kafka, React, and observability tooling. Stands out for using AI tools heavily but responsibly—treating them as accelerators while relying on rigorous testing, architectural review, retry/DLQ patterns, and monitoring to ensure production reliability.

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JI

Justin Ivins

Screened

Director-level software engineering leader specializing in cloud architecture and platform modernization

Chicago, IL16y exp
Envista ForensicsMarquette University

Senior engineering leader with a rare blend of principal-level technical depth and large-scale people management, spanning identity/auth modernization, platform architecture, and cloud integration work. At Paylocity, they helped transform a legacy .NET/SQL environment into a more modular, microservices-oriented platform and dramatically reduced deployment times, while also leading teams as large as 80+.

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Rutuja Sanjay Risbood - Senior Full-Stack Software Developer specializing in enterprise web and mobile applications in San Jose, CA

Senior Full-Stack Software Developer specializing in enterprise web and mobile applications

San Jose, CA8y exp
Thermo Fisher ScientificUniversity of Texas at Arlington

Front-end engineer with unusually deep browser-systems knowledge, having built and owned a real-time merchant analytics platform for financial analysts handling millions of live transactions. Stands out for combining low-level performance engineering, typed React architecture, and expert-user UX polish, with strong measurable outcomes across speed, usability, and maintainability.

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NC

Noah Cussatti

Screened

Junior Full-Stack Developer specializing in enterprise manufacturing SaaS

Miami, FL2y exp
QAD RedzoneRensselaer Polytechnic Institute

Frontend engineer with experience building complex enterprise web applications used by thousands of manufacturing plants globally. Stands out for pragmatic architecture decisions—especially using a BFF to tame legacy APIs and improving delivery by abandoning an overbuilt custom grid effort—while also focusing on accessibility, browser-level debugging, and regression prevention.

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SG

Mid-level Full-Stack Developer specializing in cloud-native enterprise applications

Remote, USA4y exp
FreshworksAuburn University

Candidate brings a pragmatic, production-focused approach to AI-assisted software development, using AI as a pair programmer and conceptually applying multi-agent workflows across coding, testing, and review. They stand out for putting strong guardrails around AI usage—manual review, testing, SonarQube, peer review, and keeping critical logic manual—to improve speed without compromising security or code quality.

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DS

Principal Unity/C# Developer specializing in mobile and live-service games

London, UK14y exp
Dream Reality InteractiveDurham University

Unity gameplay developer who led implementation of an airport scene for Duplo Town (children’s physics/exploration game), adding multiple unspecced interactions that significantly increased polish and playfulness and delighted testers/clients. Principal/lead-level engineer with strong sprint planning and impact-vs-effort prioritization, plus experience designing asynchronous client-server interactions and state management (aware of Photon-style real-time multiplayer sync).

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HA

Hamad Alajeel

Screened

Intern Machine Learning & AI Automation Engineer specializing in ML workflows and AI hardware

Fort Lauderdale, FL0y exp
Revscale Technologies Inc.UC San Diego

ML practitioner with hands-on experience adapting diffusion models (DDPM + U-Net in PyTorch) to improve low-dose CT medical imaging quality via denoising and upsampling against high-dose ground truth. Also built a RAG workflow during a recent internship by cleaning client survey data, embedding with OpenAI text-embedding-3-large, and indexing in Pinecone with MD5 deduplication, alongside a strong emphasis on production-grade Python practices.

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VK

Vinay Kumar

Screened

Mid-level Backend Software Engineer specializing in Java microservices and AWS

Cincinnati, OH3y exp
AmazonUniversity of Cincinnati

Backend/distributed-systems engineer (Amazon; also Bank of America) pivoting into robotics software. Built and owned an end-to-end cross-region event processing service for Aurora Global Databases, emphasizing correctness under latency/clock skew, fault tolerance, and strong observability; brings deep Docker/Kubernetes and CI/CD experience to robotics infrastructure and reliability work while ramping up on ROS 2.

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EM

Senior Technical Program/Project Manager specializing in cloud, infrastructure, and regulated programs

Petaluma, California29y exp
Vana SolutionsNYU Tandon School of Engineering

Hands-on engineering manager/lead focused on Azure application deployments and CI/CD automation. Has led design sessions and 1:1 code reviews, and owned a production performance incident end-to-end from measurement and test-environment setup through production validation, while coaching team members via regular 1:1s.

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Kyle Wilson - Senior Technical Lead specializing in accessible, scalable web applications in Waterloo, Canada

Kyle Wilson

Screened

Senior Technical Lead specializing in accessible, scalable web applications

Waterloo, Canada10y exp
AxonifyUniversity of Guelph

Frontend lead who shipped an enterprise social feed, insights dashboard, and a net-new communications platform using React + TypeScript. Known for building scalable quality practices with QA (including automated test suite alignment), introducing RTK Query org-wide, and managing phased, feature-flagged rollouts while coordinating closely with product/design and senior engineering stakeholders.

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JW

Executive Systems Architect specializing in distributed edge-to-cloud and real-time data platforms

Houston, TX14y exp
Stasis Drilling SolutionsLuther Seminary

Has worked across multiple startup stages from pre-funding through Series D and emphasizes rigorous idea validation through direct conversations with both end users and purchasing decision-makers. Interested in applying NLP to automate summarization/abstracting of highly technical articles, with a balanced view of entrepreneurship that prioritizes health and family.

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