Vetted Cursor (AI Code Editor) Professionals

Raj Kale

Screened

Junior Software Engineer specializing in full-stack systems and FinTech

Los Angeles, CA3y exp

“Full-stack engineer with experience building financial and hiring-product systems, spanning React/TypeScript dashboards, Flask/Kafka/Postgres backends, and multi-tenant configuration for 3,000+ clients. Stands out for combining deep technical debugging and performance work with product-minded UX improvements, including a 41% lift in resume matching accuracy and ~40% latency reduction through batching and query tuning.”

“Built a semantic search portal for a fellowship department and an AI-driven PR review pipeline, using AI selectively for boilerplate while retaining full ownership of architecture, security review, testing, and deployment. Has hands-on experience with multi-agent systems, monitoring, and security validation, with a notably disciplined approach to catching false positives and rewriting weak AI output.”

Drumil Mistry

Screened

Intern Frontend Engineer specializing in React and Next.js

New York, NY0y exp

“Frontend-focused full-stack developer who built ApplyFlow, a job application tracking platform with reusable dashboard and Kanban components, real-time updates, and responsive UX. Also worked on a UI Replay project for visualizing high-frequency user interaction data, showing strength in performance-sensitive React applications.”

“Full-stack engineer with experience spanning React/TypeScript frontends, Node.js backend services, and production systems on AWS. They’ve built real-time, event-driven inventory workflows using PostgreSQL, Redis, RabbitMQ, and Keycloak, and also drove a multi-agent LangGraph architecture for a self-healing systems project evaluated on simulated Kubernetes outages.”

“AI/full-stack product builder who has shipped agentic workflow tools in nonprofit and hospital settings, with a strong focus on confidence thresholds, human escalation, and production evals. They stand out for turning ambiguous operational problems into measurable outcomes, including 58% lower manual triage time, 45% faster reporting, and dispatch automation that resolved about 82% of requests autonomously.”

“Full-stack engineer with strong React/TypeScript and Java Spring Boot microservices experience who has built end-to-end task management and real-time, data-intensive dashboards. Demonstrates practical depth in security (JWT, RBAC, token refresh), performance optimization (indexing/aggregations, virtualization, caching), and cloud deployment (AWS, Docker, Jenkins, Kubernetes).”

“Built and launched “Language AI,” a Next.js/TypeScript app that clones a user’s voice (via ElevenLabs) to deliver language lessons in their own voice, using Supabase for auth/Postgres/storage and hosting backend on Render. Post-launch, identified ElevenLabs voice-clone limits after initial users and reworked the pipeline to store audio assets and delete clones to support more concurrent users; also added Google auth to improve adoption. Previously worked in a high-growth startup environment (Study Park) taking concepts from ideation to production.”

Bhoomi Parikh

Screened

Junior Product Manager specializing in AI-enabled analytics products

Mountain View, CA2y exp

“Product/full-stack engineer with analytics-dashboard experience at Kantar, owning features end-to-end from React/Next.js UI through Postgres data modeling and query optimization. Built a multidimensional filters/tags module that cut analyst discovery time by ~60% and also implemented durable backend workflows for bulk report generation with retries and idempotency, validated via EXPLAIN ANALYZE and production monitoring.”

“Built both a fantasy sports analytics product and a privacy-sensitive AI assistant for therapists, showing range across consumer and healthcare use cases. Particularly notable for designing self-hosted, HIPAA-conscious LLM systems with RAG, structured outputs, observability, and human-in-the-loop guardrails for clinical workflows.”

“Senior full-stack engineer with startup experience building multi-tenant B2B SaaS platforms for manufacturing and financial operations. Strongest in Python back-end development and React/TypeScript front ends, with hands-on AWS microservices, enterprise integrations like Siemens, and measurable performance gains including a 30% reduction in application load times.”

“Software engineer with MERN stack experience who says they have built enterprise and SaaS products, set up CI/CD pipelines using GitHub Actions and Jenkins, and created reusable UI components across an application. They also referenced using AI tools like Claude, GPT, Codex, and Cursor with agentic AI concepts, plus CloudWatch-based tracing and crash monitoring.”

“Backend-leaning full-stack engineer who led a legacy monolith-to-microservices migration (OAuth, Redis, ActiveMQ) while shipping incrementally via CI/CD to avoid user disruption. Strong in search/filter experiences and performance tuning (Solr schema + relevance boosting) with measurable impact (login reduced to ~5s), plus React/TypeScript UI work including configuration-driven filters and shareable URL state.”

“Backend engineer with hands-on ownership of a production POS platform, including architecture, CI/CD, Kubernetes deployment, and live incident handling. Also built a RAG-based document Q&A system using OpenAI/Anthropic with hybrid retrieval, evaluation metrics, and fallback logic, showing both traditional backend depth and practical applied AI experience.”

Himabindu Yarlagadda

Screened

Mid-level Embedded Systems Engineer specializing in industrial IoT firmware

Hammond, IN4y exp

“Embedded systems engineer with hands-on experience using AI tools to accelerate debugging and development while maintaining strict review standards for safety-critical firmware. At Trigent, they effectively led the architecture and rollout of an automated MISRA C-compliant code generation pipeline and became the go-to technical owner across 8 active projects.”

“Frontend engineer with 3 years of professional experience and a Master's degree who has built a React/TypeScript interface for a two-sided marketplace with role-based dashboards and Stripe escrow flows. Stands out for combining security-conscious UI architecture, measurable browser performance optimization, and polished workflow design for demanding users across desktop and mobile.”

“Built and shipped a production LLM-powered agent for supply chain operations that integrates ERP data and automates multi-step decision-making with tool calling, state management, and structured JSON outputs. Emphasizes production reliability (guardrails, fallbacks, monitoring, idempotency) and reports strong business impact: 40% faster decisions, 30% higher throughput, and 25% efficiency gains.”

“Backend engineer with hands-on experience scaling a CVE processing platform by re-architecting it into a Kafka-based distributed system, boosting throughput to 200k+ records/min while designing for HA, deduplication, and fault tolerance. Also led a Flyway-driven migration affecting 15M+ records with staged dev→stage→prod rollout, and has implemented production security patterns (Auth0, OAuth2/HTTPS, AWS IAM RBAC) including least-privilege hardening.”

“LLM solutions practitioner with SOC/alert-triage experience who takes LLM prototypes to production using RAG (Pinecone), FastAPI services, guardrails, CI/CD, monitoring, and robust fallback logic. Known for rapid real-time debugging of embedding/vector and agent workflow issues, and for driving adoption through code-first workshops and sales-aligned custom demos with measurable improvements (35% faster triage; 40% increase in correct tool usage).”

Yuyin Sun

Screened

Mid-level Product Designer specializing in AI agent UX and B2B SaaS platforms

Burlingame, CA5y exp

“Product designer at Felixphere working on a pivot from a SaaS marketplace to a SaaS management platform, designing end-to-end SaaS integrations and an AI concierge/agent experience. Drove a strategic shift from complex custom connectors to standardized connectors through user research and prototyping, aligning executives and reducing development effort; also shipped user-informed features like a contract/payment calendar to reduce operational friction for customers.”

Shrinivas Bhusannavar

Screened

Mid-level AI Engineer specializing in agentic LLM systems and RAG platforms

San Jose, CA5y exp

“Built and shipped Serrano AI, a multi-tenant SaaS conversational AI platform that automates Odoo ERP workflows and lets ops/finance/supply-chain teams query ERP data in natural language. Implemented a multi-agent architecture (LangChain/LangGraph/CrewAI) with hybrid RAG over ERP schemas, deployed on Heroku/Vercel with production observability, cutting reporting time by ~80% while addressing hallucinations, latency, and schema complexity.”

Ambuk Rehani

Screened

Mid-level AI/Backend Engineer specializing in RAG and data platforms

Dallas, TX7y exp

“Built and shipped a production LLM-powered financial Q&A interface that extracts precise numeric data from PDFs using a hybrid AWS Textract + LLM normalization pipeline, with confidence gating and guardrails to prevent unreliable answers. Experienced with LangChain-based RAG orchestration (chunking, memory, structured outputs) and collaborated closely with PMs/analysts on IRS Form 990 extraction requirements.”

Umair Khokhar

Screened

Director-level Engineering Leader specializing in AI Platforms for Enterprise B2B SaaS

San Francisco, CA15y exp

“Technical leader/player-coach who architected and shipped an end-to-end computer vision pricing system for a major North American auto seller, using Go + Ray + AWS SageMaker in a low-latency distributed inference architecture. Strong in production governance (logs/tracing/guardrails/AppSec), reliability incident ownership (DNS limits affecting 20% traffic), and measurable delivery acceleration (deployment cycle 16→4 days; delivery speed 5→2 days) through process optimization and AI-assisted enablement.”

“Built a production AI stylist agent for retail store associates that pulls customer loyalty, address, and purchase-history data to generate in-store product recommendations. Demonstrates hands-on experience across agent orchestration, MCP-based tool integration, Vertex AI/GCP deployment, observability, resilience patterns, and pragmatic production tradeoffs like using PostgreSQL with pgvector instead of a standalone vector database.”

Zhiyao Song

Screened

Intern Full-Stack Software Engineer specializing in web and backend development

Shenzhen, China1y exp

“Frontend engineer with hands-on experience building a production e-commerce shopping cart and admin dashboard in React and TypeScript, with emphasis on reusable component architecture, auth/role-based access, and performance tuning. Also has dashboard-style visualization experience in an AI health management system, showing strength in making dense data interfaces responsive, maintainable, and easy to scan.”