Vetted GraphQL Professionals

“Candidate brings practical GenAI engineering experience with a disciplined approach to AI-assisted development. They have designed lightweight multi-agent workflows for a RAG-based support copilot, including retrieval, relevance validation, response generation, and groundedness checks to reduce hallucinations.”

Cassandra Pizarro

Screened

Mid-level Software Engineer specializing in frontend and integrations

Mountain View, CA7y exp

“Frontend-leaning product engineer with strong ownership in fintech integrations, including leading the first global PayPal integration on QuickBooks and enabling 20,000+ non-U.S. users across UK, Canada, and Australia. Brings a mix of React/TypeScript architecture, API collaboration, and domain depth in accounting workflows like VAT and Chart of Accounts mapping.”

“Senior frontend engineer with 8+ years of experience spanning Verizon and 7-Eleven, focused on developer platforms, design systems, and real-time operational products. Built framework-agnostic component libraries and large-scale React/TypeScript architectures that reduced feature development time by 30%, improved UI satisfaction by 40%, and cut onboarding time by 25-30%. Particularly strong in WebSocket-driven GenAI experiences, observability dashboards, and cross-functional API/platform leadership.”

Zack Pagano

Screened

Junior Full-Stack Software Engineer specializing in FinTech and data platforms

San Francisco, CA3y exp

“Engineer in a highly regulated banking environment who has built both a full-stack digest product that cut notification volume 40% and an internal LLM-powered on-call assistant that reduced triage time by 30%+. Stands out for combining strong AWS/serverless and TypeScript architecture skills with careful AI safety, observability, and compliance-minded design.”

Manoj Shinde

Screened

Senior Full-Stack Engineer specializing in cloud-native AI and FinTech systems

San Francisco, CA9y exp

“Full-stack engineer who has owned customer-facing reporting products end to end and also helped ship MemberGPT, an AI assistant for financial users. Brings a practical mix of React/TypeScript and Java/Spring Boot experience, plus hands-on LLM integration, retrieval grounding, evaluation, and production monitoring in a higher-trust financial context.”

“Built and productionized an LLM-based PDF extraction pipeline for Medicaid policy documents by fine-tuning Gemini Flash 2.0 and deploying via Vertex AI, adding validation/guardrails to improve trust and reliability. Also built and scaled a SaaS platform (cnotes) for cable operators and regularly partners with customers and sales teams through interactive demos, rapid iteration, and real-time workflow debugging.”

Akhila Gadige

Screened

Mid-level Full-Stack Developer specializing in Python, Java, cloud, and GenAI

Remote4y exp

“Backend-leaning full-stack engineer who has built and operated high-throughput GPU telemetry and task/event platforms using React, FastAPI, PostgreSQL, Redis, Celery, and Kubernetes. Stands out for hands-on ownership of production performance at scale, including partitioning 100M+ row tables, fixing timeout bottlenecks, and delivering measurable gains like 3x throughput and 95% fewer timeout errors.”

“Backend/platform engineer who has built and run production Python/Flask + Kafka microservices processing RFID and camera/RFID fusion streams for near-real-time retail cart updates at ~4–5M events/day. Strong in reliability/performance debugging (p99 latency, Kafka lag, Cosmos DB RU hot partitions) with measurable impact including ~30% database cost reduction, and has also shipped an end-to-end vulnerability scanning workflow with DynamoDB-backed state, idempotency, and robust retry/verification guardrails.”

“Engineer with banking and industrial/IoT experience who has deployed a payment-processing microservice with zero downtime, handling Protobuf schema evolution and sensitive data migration via dual-write/checksum techniques. Demonstrates strong cross-stack troubleshooting (pinpointed intermittent distributed timeouts to a failing ToR switch port) and customer-facing Python ETL customization using plugin-based parsers and Pydantic validation, plus hands-on monitoring/alerting improvements with operators.”

“Engineering leader/CTO-type with deep experience building and scaling a vehicle routing platform at Transdev On Demand, including a nationwide rollout to 22 US airports ahead of schedule. Drove engineering best practices (CI/CD, high test coverage, pair programming, automated deployments) and led a multi-tenant architectural upgrade to expand the routing engine to additional business lines and external customers.”

“Backend engineer who built and owned an AI-powered SMS survey platform for a nonprofit serving at-risk communities (internet-limited users), using Cloudflare Workers + Twilio and a state-machine survey engine. Scaled it to ~10k active users with near-zero downtime, added English/Spanish support, and iteratively improved LLM behavior (Claude 3.7 Sonnet) to handle nuanced, real-world SMS responses reliably.”

“Engineering leader/player-coach who helped ship a web-based ERP SaaS release (Nov 2025) as part of a long-term migration from a legacy desktop ERP, designing a multi-API architecture (Oracle + EF Core, caching, integrations) and enforcing rigorous code review quality gates. Previously led development of a low-latency, multi-service high-frequency trading platform at a startup hedge fund (Capitalogix Trading), leveraging async/multithreading, event-driven messaging, NoSQL, and WebSockets.”

“Full-stack engineer with end-to-end ownership experience, including building a real-time campaign/inventory dashboard at P&G using React/TypeScript, Spring Boot, GraphQL/REST, Redis, Docker, and AWS (EC2/RDS/S3) with Prometheus/Grafana observability. Demonstrates strong performance and reliability focus (p95 tuning, caching, idempotent event-driven ingestion with DLQs/reconciliation) and has shipped MVPs in ambiguous early-stage environments.”

Srinivas Matta

Screened

Mid-Level Full-Stack Software Developer specializing in cloud-native web platforms

Paducah, KY4y exp

“Software engineer at Capital One who owned and shipped AI-driven personalization and internal insights dashboards end-to-end, emphasizing fast iteration with feature flags and tight user feedback loops. Built a TypeScript/React + Spring Boot/Python document automation platform with compute-heavy NLP microservices, async workflows, and production-scale reliability/performance practices (Kafka/RabbitMQ-style queues, Redis caching, tracing).”

Sayali Patil

Screened

Mid-level Python Full-Stack Developer specializing in Healthcare and FinTech

Everett, MA6y exp

“Backend engineer with hands-on experience building a fraud-transaction monitoring system in Python/Flask, architected as Dockerized microservices and integrated with Kafka for high-volume streaming. Demonstrates strong performance and reliability chops across PostgreSQL/SQLAlchemy tuning (EXPLAIN ANALYZE, N+1 fixes, bulk ops), multi-tenant data isolation, and scaling via background workers + Redis caching, plus real-time ML inference deployment using TensorFlow on AWS.”

Saksham Khatwani

Screened

Mid-level Software Engineer specializing in NLP and search systems

Aurora, United States3y exp

“Built an AI journaling app at HackCU 2025 featuring a speaking AI avatar with long-term memory via RAG (ChromaDB) and low-latency microservices coordinated through Kafka, including deployment under AMD/non-CUDA constraints using a quantized Llama 8B model. Also has Goldman Sachs experience deploying a Trade UI on Kubernetes with CI/CD rollback automation, plus a healthcare AI internship at CU Anschutz collaborating closely with physicians on diagnostic reasoning and dataset annotation.”

Naga Manasa Bandaru

Screened

Mid-level Frontend Software Engineer specializing in React, Next.js, and TypeScript

Dallas – Fort Worth, TX4y exp

“Product-focused full-stack engineer with FedEx experience building an internal logistics dashboard for near real-time shipment status and performance metrics using Next.js App Router + TypeScript. Strong in production ownership and performance work—uses React Profiler/Chrome DevTools to eliminate expensive re-renders and applies Postgres indexing/query tuning validated via EXPLAIN ANALYZE to improve dashboard responsiveness.”

Aditya Jaiswal

Screened

Intern Software Engineer specializing in cloud, DevOps, and applied AI

Carlsbad, CA1y exp

“Full-stack engineer with startup ownership experience (Aiir) building 15+ TypeScript/Go microservice APIs on GCP Cloud Run with Kafka-based async event streaming and React CRM integrations for billing/analytics. Strong post-launch operator who tuned Oracle performance (partitioning/indexing/query optimization) and validated a 23% retrieval-time reduction via AWR, and has a quality/DevSecOps mindset (94% Pytest coverage, GitHub Actions, SonarQube, Twistlock, CloudWatch) including migrating 18+ production CI/CD pipelines.”

Suloni Praveen

Screened

Entry-Level Software Engineer specializing in data engineering and ML systems

Los Angeles, CA0y exp

“Built an end-to-end Next.js/TypeScript LLM-based scientific PDF analyzer using local Ollama/Llama inference to prioritize privacy and cost, producing structured research artifacts (e.g., authors/methods/findings) with ~92% extraction accuracy. At Qualtrics, helped replace a batch pipeline with a real-time, low-latency ML inference service (Python/Go on Kubernetes) using Redis caching, Grafana-based observability, and graceful fallbacks to protect UX during failures.”

“Product-minded full-stack engineer with experience shipping engagement features and core communication systems at DribbleUp and Expys. Stands out for combining rapid MVP execution with rigorous iteration: delivered a leaderboard feature that lifted engagement by 8% initially and 20% overall, built a chat MVP in 3 days, and has hands-on experience deploying LangChain-based concierge agents with evals and human review.”

“Frontend engineer focused on high-performance React/TypeScript applications, with detailed experience building enterprise real-time analytics dashboards and map-based geospatial visualizations. Stands out for combining strong architecture and maintainability practices with concrete production performance wins using profiling, virtualization, memoization, and backend/client data-flow optimization.”

Keerthi Pericherla

Screened

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

Remote, USA5y exp

“Frontend engineer with HCL Tech experience building loan operations dashboards and React/TypeScript data-heavy interfaces. Stands out for combining maintainable component architecture with hands-on performance tuning, including a reported 30% load-time improvement in a production visualization-heavy application.”

Raymond Hunce

Screened

Senior Software Engineer specializing in full-stack platforms and cloud systems

New York, NY5y exp

“Frontend-leaning full-stack engineer with 5+ years of professional experience across startups and Capital One, combining UI design instincts with hands-on React/TypeScript implementation. Has owned polished browser interfaces end-to-end, built custom analytics instrumentation with DynamoDB, and improved complex internal tooling by redesigning data-heavy workflows based on direct user feedback.”

“Frontend-focused product engineer with hands-on experience designing and shipping real-time dashboards and alerting systems in regulated domains like banking and healthcare. Has led both UX/design and implementation work, combining React/TypeScript and Angular frontend expertise with Kafka-driven event architectures, performance optimization, and production monitoring.”