Vetted Cursor (AI Code Editor) Professionals

Pre-screened and vetted.

Sanjana Chowdary - Intern Full-Stack Engineer specializing in web applications and AI in New York, NY

Intern Full-Stack Engineer specializing in web applications and AI

New York, NY2y exp
GrouprNYU

Engineer with hands-on experience both using AI coding agents in production and building AI systems, including chatbot development and BERT fine-tuning at Atos. At Groupr, they applied strong systems judgment to live operational workflows, validating concurrency decisions manually for an admin portal supporting 500+ orders per day.

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Aditya Rao - Mid-level Software Engineer specializing in backend, AI, and distributed systems in San Jose, CA

Aditya Rao

Screened

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

San Jose, CA5y exp
Snap-onSan Jose State University

Software engineer with 4.5 years of startup experience across programmatic advertising, health tech e-commerce, and automobile diagnostics, plus both bachelor's and master's degrees in CSE. Built an agentic global supply chain platform in a hackathon using a highly structured AI-first workflow, and has hands-on experience designing multi-agent debate systems, rollout safeguards, and observability-driven production fixes.

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Robbie Harol - Principal Product Leader specializing in AI-native, civic, and climate tech in Los Angeles, CA

Robbie Harol

Screened

Principal Product Leader specializing in AI-native, civic, and climate tech

Los Angeles, CA18y exp
FreelanceUCLA

Product leader with unusually broad experience spanning adtech startups, consumer rewards, political-tech nonprofits, and consulting for operational automation. Stands out for pairing strong UX and monetization instincts with practical AI product work, including building a RAG-based chatbot and consistently using user research to drive measurable outcomes like 400% conversion growth, higher satisfaction, and faster onboarding.

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BT

Mid-level Software Engineer specializing in AI agents and full-stack platforms

Mountain View, CA4y exp
IntuitMarist College

Full-stack and AI product engineer focused on data instrumentation and tracking-plan automation. They built an end-to-end publish architecture plus an MCP/agent workflow that turns PRDs, Figma files, and meeting transcripts into tracking plans and implementation-ready code, reportedly shrinking work from 4-5 days to minutes. They also show strong judgment around productionizing LLM systems, with tool-centric prompt design, backend guardrails, and human-in-the-loop controls for high-risk actions.

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Michael Zhu - Mid-level Frontend Software Engineer specializing in React and e-commerce UI in West Hollywood, CA

Michael Zhu

Screened

Mid-level Frontend Software Engineer specializing in React and e-commerce UI

West Hollywood, CA5y exp
TapcartUC Irvine

Frontend engineer with strong React/TypeScript depth who has shipped reusable CMS-driven UI architecture and improved production performance by eliminating inefficient per-component API calls. Particularly strong in maintainable component design, pagination/state management, and practical UX optimization using tools like Chrome DevTools and Theme UI.

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Vinay K Naidu - Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

Vinay K Naidu

Screened

Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

5y exp
Aurora Health CareUniversity of Dayton

Built and shipped a production LLM-powered incident assistant integrated with monitoring, logs, and metrics systems that reduced triage time by 30–40% and improved MTTR. Stands out for a strong reliability-first approach to agent design, including deterministic orchestration, strict schemas, fallback flows, grounding checks, and safeguards for messy operational data.

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Katha Naik - Intern software engineer specializing in AI, cloud, and full-stack systems in Fremont, CA

Katha Naik

Screened

Intern software engineer specializing in AI, cloud, and full-stack systems

Fremont, CA2y exp
Fox CorporationArizona State University

Engineer with experience at Fox Corporation and Qualcomm, focused on production automation and AI-powered systems. At Fox, they built a serverless Bedrock Operations CoPilot for broadcast/media operations that centralized fragmented operational data and cut incident investigation time by 50-60% across distributed teams and stations. They also bring applied LLM experience from Qualcomm, where they worked on a safer RAG-based learning assistant for children with autism spectrum disorder.

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PV

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

Texas, USA5y exp
Capital OneAuburn University at Montgomery

Full-stack engineer focused on enterprise, cloud-native microservices—building Spring Boot backends and React/Angular front ends with strong security (OAuth/JWT), AWS infrastructure (RDS/S3), and containerized deployments (Docker/Kubernetes). Has delivered data-heavy order/account/transaction platforms and healthcare solutions including EHR integrations for secure patient data exchange, with emphasis on testing, performance tuning, and reliability (load testing).

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GN

Gordon Ng

Screened

Mid-Level Software Engineer specializing in AI/ML and distributed systems

Brooklyn, NY3y exp
OptumBoston University

Software engineer with production experience building a serverless monolith and multi-layer video pipeline at easyML, plus hands-on integration of multiple LLM providers (Grok/Claude/OpenAI) into a full-stack app. Interested in robotics via computer vision (OpenCV/OpenMMLab), with a strong real-time systems mindset around SLOs, latency, determinism, and reliability; also has low-level OS experience writing a keyboard device driver.

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VM

Senior DevOps & Release Engineer specializing in CI/CD automation and AWS IaC

Raleigh, NC12y exp
VidmobUniversity of Central Missouri

Infrastructure/DevOps engineer (Vidmob) focused on AWS + containers, owning GitLab CI/CD and Terraform-managed environments. Led a high-impact CI incident by correlating runner queue time, Docker pull latency, and NAT egress; implemented ECR pull-through caching and VPC endpoints to restore performance and then standardized the fix in Terraform for future scale-ups.

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SR

Saketh Reddy

Screened

Mid-Level Software Development Engineer specializing in full-stack and LLM/AI systems

CA, USA4y exp
JPMorgan ChaseUniversity of Central Missouri

AI engineer with hands-on production experience building an end-to-end RAG system that reduced document-answering time from hours to minutes, improving accuracy through chunk overlap and hybrid BM25+semantic retrieval. Also built a LangGraph-based agent that researches company financial news via web search (Google Serper), using Pydantic structured outputs and checkpointing for reliability; experienced collaborating with non-technical stakeholders at JPMC and communicating ROI.

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SG

Suraj Gajula

Screened

Junior Full-Stack Software Engineer specializing in video and security applications

Menlo Park, CA1y exp
HoneywellUC Santa Cruz

Full-stack engineer who built and owned a generative-AI pipeline end-to-end inside the Vibecut video editor using Next.js App Router/TypeScript, Gemini-based prompt routing, and Zustand state management, including concurrency-safe requests. Also integrated Python services to access newly released AI tooling, optimized Postgres/S3 data flows for thumbnails, and built Modal-to-Amplitude workflows for Reddit-driven sentiment/metrics in a pre-seed environment while also handling marketing.

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DR

Senior Unity Developer specializing in mobile game systems, performance, and live ops

Belgrade, Serbia9y exp
MY.GAMESBashkir State University

Unity/C# mobile game engineer based in Belgrade who has owned and shipped complex meta-systems (shop/battle pass/tournaments) and real-time PvP using Photon, with a strong focus on performance (profiling, memory/GC, draw calls) and live stability. Notably handled a China launch by abstracting regional SDKs behind DI-based interfaces and using Addressables for localized assets, keeping the global codebase clean while maintaining high performance.

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HG

Harsh Gupta

Screened

Mid Software Engineer specializing in backend systems and FinTech

Mumbai, India3y exp
Oracle Financial ServicesUniversity of Florida

Backend engineer with experience spanning regulated financial systems at Oracle Financial Services and early-stage product building at Apli.ai. Has owned production onboarding infrastructure end-to-end, improved reliability through strong observability and incident response, and also built AI-backed backend workflows using AWS, Bedrock, and RAG.

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Jaya Rathi - Senior Software Engineer specializing in distributed systems and cloud platforms in Ottawa, Canada

Jaya Rathi

Screened

Senior Software Engineer specializing in distributed systems and cloud platforms

Ottawa, Canada15y exp
NokiaDr. A. P. J. Abdul Kalam Technical University

Software professional with 13 years of experience across Canada and India, now seeking a first US role in California. Has practical experience applying LLMs and IDE agents like Cursor, ChatGPT, and Gemini to streamline engineering documentation workflows, especially automating Jira/Confluence process work to reduce manual effort and errors.

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AA

Mid-level Presales Consulting Engineer specializing in SaaS, AI, and enterprise solutions

New York, NY4y exp
POS Upgrades Inc.University at Buffalo

B2B SaaS presales/solutions engineer with recent experience spanning Cisco enterprise infrastructure and AI-driven POS analytics products. Supported 120+ enterprise accounts, helped drive a $10M renewal/expansion in financial services, and combines classic enterprise SE skills with hands-on API, SSO/SAML, ETL, Python, SQL, and LLM/RAG integration experience.

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SS

Mid-level Full-Stack Engineer specializing in Applied AI

USA4y exp
HomeInheritanceCentral Michigan University

AI/full-stack product engineer with experience shipping agentic systems in both fintech and enterprise compliance contexts, including an Anthropic-powered compliance Q&A tool at American Express and a home-equity assessment experience for seniors. Stands out for combining strong product instincts, typed full-stack implementation, and rigorous LLM evaluation/monitoring practices to improve trust, adoption, and operational efficiency.

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Jaya Rathi - Senior Software Engineer specializing in distributed systems and cloud platforms in Cupertino, CA

Jaya Rathi

Screened

Senior Software Engineer specializing in distributed systems and cloud platforms

Cupertino, CA15y exp
AI LearningDr. A. P. J. Abdul Kalam Technical University

Full-stack developer who built a unit billing subscription portal in React, Node.js, TypeScript, and PostgreSQL to track employee billable hours and generate paperless invoices, including BambooHR integration and async workflows with RabbitMQ. Also independently exploring agentic AI through a support desk assistant using RAG, ChromaDB, and LangChain, with a strong focus on grounding, type safety, and measurable retrieval quality.

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HB

Executive Technology Leader specializing in enterprise architecture, AI, cloud, and digital transformation

37y exp
United Talent AgencyWestern Governors University

Senior technology leader and hands-on builder spanning enterprise architecture and product/engineering leadership across healthcare and entertainment. Has led high-impact cloud and security architecture decisions (including establishing a private cloud to address scalability/security at massive scale) and scaled orgs 300% using pod-based team structures. Currently building an AI-supported hydroponics/vertical farming IoT framework (ESP32 + Azure) and a musician collaboration platform (React + Neo4j + AWS).

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CB

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

San Francisco, CA4y exp
One CommunityPurdue University

Product-focused full-stack engineer (70/30 app vs infra) with Accenture experience and recent AI workflow work, shipping end-to-end systems from React/TypeScript UIs through FastAPI backends to Postgres. Built an AI-driven data extraction platform with async job APIs, strict schema validation, and strong observability, and has operated AWS ECS-based deployments with real incident mitigation (DB connection exhaustion/latency under traffic spikes).

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Narendra R - Senior Full-Stack Java Developer specializing in microservices and cloud platforms in Dallas, TX

Narendra R

Screened

Senior Full-Stack Java Developer specializing in microservices and cloud platforms

Dallas, TX7y exp
PNCUniversity of South Dakota

Backend engineer focused on scalable Python/Flask services and high-performance PostgreSQL/SQLAlchemy systems, with demonstrated wins like reducing N+1-driven response times to under 200ms and cutting P95 latency below 1s via background queues and caching. Has production experience operationalizing ML models as Dockerized APIs on AWS (S3/Lambda) with monitoring (CloudWatch/ELK), plus robust multi-tenant isolation using JWT-driven tenant context and row-level security.

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Eugene Nelepko - Executive growth leader specializing in AI-powered SaaS, marketplaces, and e-commerce in San Francisco, CA

Executive growth leader specializing in AI-powered SaaS, marketplaces, and e-commerce

San Francisco, CA13y exp
MagnitRSTU

Growth leader with strong zero-to-one and systems-building experience across e-commerce and retail media. Most notably, they proposed and launched a new retail media division from scratch, presold demand before product build, and scaled it to $1.5M ARR with 85% margin, while also building data-driven lifecycle and acquisition systems that materially improved activation and CAC efficiency.

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Rohit Vibhu Channananjundarya - Mid-level Software Engineer specializing in distributed systems and full-stack platforms in Chicago, IL

Mid-level Software Engineer specializing in distributed systems and full-stack platforms

Chicago, IL6y exp
ExpediaUniversity of Illinois Chicago

Engineer who treats AI as a force multiplier rather than a replacement for judgment, with hands-on experience using tools like Claude Code, Cursor, Copilot, and Codex across planning, coding, testing, and review. Particularly notable for building a multi-agent PR review system that automated summarization, risk scanning, schema validation, and test suggestions, helping the team shift reviewer time toward architecture and business logic.

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KS

Ken Sherman

Screened

Executive engineering leader specializing in AI, cloud, and SaaS platforms

San Diego, CA21y exp
Executive Technical AdvisorSan Diego State University

Senior engineering executive with 8+ years leading large-scale SaaS modernization across AI, compliance, ecommerce, streaming, IoT, and travel. Has led a 150+ global engineering org, modernized seven cloud-native platforms for a $400M business, and consolidated travel systems processing $1B+ annually while staying hands-on in architecture, incident response, and AI integration.

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