Vetted GraphQL Professionals

Yash Priyadarshi

Screened

Junior Software Engineer specializing in distributed systems and cloud infrastructure

Bengaluru, India2y exp

“Backend/distributed-systems engineer who built a Golang distributed key-value store on AWS using Multi-Paxos, WAL, and non-blocking gRPC replication (cutting write latency ~40%) and proactively addressed tricky failure modes like leader-election livelock. Also developed a Python/Kubernetes cost-optimization scaling engine deployed with Helm/Terraform, delivering ~$40K annual savings while sustaining 99.99% uptime, and drives contract-first API development (OpenAPI/Swagger) to speed frontend integration.”

MohmmadHussain Syed

Screened

Mid-level Full-Stack Engineer specializing in customer-facing web platforms

USA4y exp

“Full-stack product builder who described owning an AI-powered journaling platform end to end using React/Vue, FastAPI, Supabase, PostgreSQL, and Hugging Face APIs. Also shipped a customer-facing document upload feature for First National Bank by solving micro frontend integration issues with web components, and has built internal tooling such as a GitHub PR review app.”

“Backend-leaning full-stack engineer who has shipped real-time, customer-facing dashboards and ticketing/payment features at Freshworks and Global Payments. Strong in Python API design (Django/Flask/FastAPI) and React/TypeScript UIs, with hands-on experience scaling PostgreSQL for high transaction volumes and operating services on AWS, including incident response and HIPAA-aligned security controls.”

“Dell engineer with hands-on full-stack and AI-powered internal platform experience, spanning React/TypeScript frontends, Spring Boot/Python microservices, Kafka streaming, and AWS/Kubernetes deployment. They’ve owned monitoring and anomaly-detection products end to end, including a dashboard that reduced manual log review and helped teams detect issues roughly 30% faster, while also translating complex AI outputs into intuitive experiences for non-technical users.”

Saumay Killa

Screened

Mid-level Full-Stack Engineer specializing in AI SaaS and web applications

New York, NY3y exp

“Built a career platform feature end-to-end that generates tailored resumes and cover letters using a React/TypeScript frontend, Postgres, and AWS Lambda/SQS backend. Strong in event-driven, serverless architecture and pragmatic product iteration, with a quantified 60% improvement in onboarding completion after redesigning the UX with resume parsing and a multi-step flow.”

Ashok Canchi

Screened

Junior Software Engineer specializing in full-stack and AdTech systems

Sunnyvale, CA4y exp

“Front-end engineer with nearly 2 years of React experience who independently owned a revamp of an internal ad tech platform as the sole front-end engineer. Stands out for handling complex conditional UI flows, collaborating across product/design/backend, and proactively improving usability and performance through techniques like debouncing, virtualization, and TypeScript.”

“Java/Spring Boot engineer with startup-style ownership experience across e-commerce, banking, and healthcare analytics. Stands out for driving a monolith-to-microservices migration with Kafka that improved checkout reliability under peak load, while also contributing full-stack with Angular and supporting production operations end to end.”

“Backend-leaning full-stack engineer with 7 years of Python experience who has worked on data-heavy products in both healthcare and social media intelligence. Particularly notable for driving Elasticsearch-based search improvements on a B2B social media analytics platform and for building secure healthcare APIs using Flask/Django with OAuth, JWT, and multiple databases.”

“Backend/full-stack engineer at Qualcomm who built and operated a drift monitoring platform for 10k+ edge AI models. Stands out for combining strong TypeScript/React/Node execution with production-grade systems thinking across PostgreSQL tuning, Redis caching, ECS deployments, and Kafka-based architectural improvements that measurably improved reliability and release speed.”

“Frontend engineer who served as the sole developer for Walmart's locker management feature, now live in 2500+ auto care stores and credited with reducing customer check-in/checkout time by 18%. Brings hands-on experience across React/TypeScript architecture, operational dashboards, analytics, testing, and cross-functional delivery with backend and mobile teams.”

Yishan Hsueh

Screened

Junior Full-Stack Engineer specializing in scalable web platforms and FinTech

San Jose, CA2y exp

“Full-stack product engineer with end-to-end ownership across React, TypeScript, backend APIs, and AI-assisted workflows. Built a scheduling management feature at Intuit that enforced complex business rules and reportedly reduced costs by about 25%, and also created a secure monorepo platform for their own jewelry business with access control and RLS from the start.”

“Full-stack enterprise engineer with strong experience building user-facing financial and healthcare applications end to end, including transaction monitoring and healthcare workflow dashboards. Particularly credible in balancing fast delivery with maintainable architecture, performance, and production stability, while being transparent that their background is not in native iOS/SwiftUI.”

“Open-source JavaScript contributor focused on performance and maintainability in data visualization libraries—refactored legacy ES5 into modular ES6, added tests/docs, and delivered ~30% faster load times with positive community adoption. Also optimized a React dashboard (~40% load-time reduction) and took ownership in an ambiguous AI product initiative by setting milestones, standing up an initial ML pipeline, and shipping a prototype in ~6 weeks that became the basis for production.”

“Full-stack engineer with experience at Vanguard, PNC, and Humana building customer-facing investment/banking flows and internal ops tools using Angular/React/TypeScript with Spring Boot microservices. Strong in shipping time-sensitive changes safely via automated testing/CI (JUnit/Mockito, Jenkins, SonarQube) and in operating event-driven microservices with Kafka (idempotency, retries, correlation IDs). Improved internal tool adoption by responding to ops/support feedback with query optimization and clearer search results.”

“Backend engineer who built Flask-based microservices for a high-throughput risk engine, using Kafka for streaming decoupling and Redis for low-latency caching, with PostgreSQL + Cassandra for mixed relational and time-series needs. Has hands-on experience productionizing ML inference (Azure OpenAI/TensorFlow) behind REST APIs with async queues, batching, and caching, plus multi-tenant isolation via schema separation and RBAC with per-tenant rate limiting.”

“Backend engineer who built a containerized Flask service powering an engineering metrics dashboard by syncing GitHub and Jira data into PostgreSQL, with strong emphasis on schema design, query performance, caching, and background processing. Has hands-on experience with SaaS multi-tenancy (tenant scoping + Postgres RLS) and integrating AI/ML inference via separate model-serving services (FastAPI + TensorFlow Serving) and external APIs (OpenAI/Hugging Face/PyTorch).”

“QA automation engineer with end-to-end ownership of a loan-processing automation suite spanning UI, API, and database validations (Selenium/Playwright/TestNG/REST Assured; Java/Python). Caught and prevented high-impact financial defects (e.g., risk-calculation rounding errors) through CI-driven nightly regressions and API-to-DB checks, and has implemented maintainable Cypress patterns with flake reduction plus GitLab CI gating and Allure reporting.”

“Software engineer with Citi Bank experience building real-time fraud validation/scoring for loan processing, spanning Spring Boot microservices and a FastAPI Python service secured with OAuth2/JWT. Delivered React/TypeScript operations dashboards and deployed containerized services via Docker/Kubernetes with Jenkins CI/CD, while also tuning databases (Oracle/Postgres) and handling high-volume latency/scaling issues using ELK, caching, and autoscaling on AWS.”

“Backend-leaning product engineer with DevSecOps depth who has shipped real-time, Kafka-driven data pipelines and AI-enabled customer-facing features to production on AWS. Built a Spring Boot API layer serving real-time predictions at 100K+ requests/day, improving latency by 35% and user task completion by ~25%, and delivered a React/TypeScript dashboard plus a Postgres audit/history model optimized for search and large event volumes.”

Sai Kondapaka

Screened

Mid-Level Software Engineer specializing in microservices, data pipelines, and FinTech fraud detection

Remote, USA5y exp

“Backend engineer with PayPal experience owning a high-throughput, low-latency fraud detection pipeline processing billions of transactions/day, integrating LLM-based models into real-time Kafka streams and payment decisioning APIs. Strong Kubernetes + GitOps practitioner (declarative, auditable deployments; autoscaling/probe tuning) with migration experience modernizing legacy systems onto AKS/OpenShift.”

SNEHA KUSUMA

Screened

Mid-level Java Full-Stack Developer specializing in banking and telecom platforms

Dallas, TX5y exp

“Frontend-focused engineer with experience at T-Mobile and U.S. Bank who maintained a TypeScript utility library (types, tests, build pipeline, and docs) adopted by multiple teams, and improved React workflow performance by refactoring components and optimizing data fetching. Known for pragmatic cross-team support—reproducing issues quickly, shipping well-tested fixes, and managing changes carefully to avoid breaking downstream apps.”

Razim Julianto

Screened

Senior QA Engineer specializing in manual/automation testing for web and mobile products

Korea7y exp

“QA tester with experience at Tokopedia (major Indonesian e-commerce) handling concurrent web/Android/iOS releases, including regression testing, stakeholder coordination, and full bug-ticket lifecycle management. Has additional PC/mobile game testing exposure (personal/adhoc) and uses AI tools to generate edge test cases and detect bug patterns; interested in taking on heavy, high-impact projects.”

Sreelekha Vuppala

Screened

Mid-level Data Scientist specializing in Generative AI, MLOps, and cloud data platforms

USA4y exp

“GenAI/ML engineer (CitiusTech) who has deployed production RAG systems for compliance/operations document Q&A, using Pinecone + FastAPI microservices on Kubernetes with strong monitoring and guardrails. Also built a GenAI-powered incident triage/routing solution in collaboration with non-technical stakeholders, achieving 35% faster response times and 40% fewer misclassified tickets, and has hands-on orchestration experience with Airflow and AutoSys.”

Ivan Kadyka

Screened

Staff Technical Lead specializing in Unity and .NET

Warsaw, Poland11y exp

“Unity/gameplay engineer (Playtika) who built a state-machine/ECS-driven slot/bonus engine in a client-server setup, focusing on consistent outcomes under latency and highly engaging reward sequences. Also implemented server-authoritative real-time challenges/contests via an event-driven messaging system (SignalR-like) across iOS/Android/WebGL/UWP, and validates impact through retention/session/engagement analytics.”