Vetted GraphQL Professionals

Benjamin Agyekum

Screened

Senior Full-Stack Software Engineer specializing in AI-powered web and mobile applications

California, USA8y exp

“Backend/full-stack TypeScript engineer who has owned end-to-end, production-oriented systems including an AI property management platform (NestJS/Postgres/WebSockets on Google Cloud using Gemini Vision) and an AI logistics platform (Node/Redis queues/Postgres) focused on low-latency, correctness, and observability. Also designed a public GraphQL API and TypeScript SDK for education partners at StudyFetch, citing 40+ partner integrations in the first quarter.”

“Early major technical hire who helped build fintech startup Ugami from MVP to near Series A, while supporting bridge round and Series A fundraising with technical materials for leadership. Also grew from intern to lead engineer at a venture-backed product shop, giving him firsthand exposure to investor expectations, startup incubation, and practical AI opportunities with tight scope and strong unit economics.”

Meghkumar Patel

Screened

Intern-level Software Engineer specializing in backend, cloud, and AI systems

Vadodara, India1y exp

“MS Software Engineering candidate at SJSU with hands-on full-stack and applied AI experience, including building DataTrust, a secure enterprise RAG assistant with ABAC-style access control, audit logging, and grounded-answer evaluation. Also built CareerPilot, an AI interview-prep product that turns LLM and speech-to-text outputs into structured, user-friendly feedback for students and job seekers.”

“Fullstack product engineer with strong AI application experience, including a provider-agnostic LLM routing layer spanning Bedrock, OpenAI, and Hugging Face. They pair hands-on technical depth with product instincts, having shipped customer-facing chat and workflow features that reduced support tickets by 38% and cut approval processing time in half.”

Ashutosh Talwalkar

Screened

Mid-level Software Engineer specializing in frontend and full-stack SaaS platforms

Santa Clara, CA7y exp

“Frontend-focused product engineer who owned the Quickwork automation platform’s architecture from 0 to 1, including a major migration from a monolithic frontend to microfrontends with Module Federation. Particularly strong in complex operational UX: real-time execution monitoring, analytics dashboards, API contract design, and performance-sensitive React/TypeScript systems for B2B SaaS workflows.”

“Founding frontend developer for StockEdge, a cross-platform stock market analytics SaaS, where they owned UI, branding, frontend architecture, and deployment across web, Android, and iOS. Most compellingly, they helped take the product from 0 to 1 million unique users and 10,000 paid subscribers while building data-heavy, near-real-time financial experiences in React and TypeScript.”

Zunaira Nazir Zunaira Nazir

Screened

Senior Unity Developer specializing in multiplayer, VR, and WebGL

Pakistan7y exp

“Unity/C# lead developer who has reworked disorganized codebases into extensible architectures and led delivery of a cross-platform mental health product integrating AI chatbot features, payments, Calendly, and Firebase. Also brings hands-on experience with Photon multiplayer patterns, including server-authoritative movement, interpolation, and prediction.”

SAUD SALEEM

Screened

Senior Python Engineer specializing in scalable backend and distributed systems

Stockton, CA6y exp

“Senior Software Engineer who has operated in a functional implementation capacity on B2B SaaS projects, especially identity verification and infrastructure intelligence platforms. Stands out for translating stakeholder and compliance requirements into APIs, workflow logic, data mappings, and UAT processes, with experience supporting utility-focused asset risk and maintenance decision platforms at scale.”

“Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.”

“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”

“Software engineer/intern who built an EV charging station management platform from scratch (TypeScript/Next.js/Node/Express/Postgres) with real-time OCPP WebSocket operations and payment processing, iterating quickly based on operator feedback. Also created an internal CloudWatch log aggregation dashboard with Slack alerts that was adopted team-wide, addressing API rate limits and log-format inconsistencies through caching, pagination, and standardized parsing.”

“Frontend engineer with deep Shopify and React/TypeScript experience who has shipped real-time, high-concurrency products—most notably a live auction system on Shopify using pure JavaScript/Liquid with Pusher for instant bid updates. Also built a POS dashboard app with Redux Toolkit for real-time order/cart updates and delivered measurable storefront performance gains (~30–40% faster initial load) through modularization and asset optimization.”

“Software engineer with experience across edtech, live gaming, and an AI document intelligence platform, delivering end-to-end customer-facing features and production backends. Built secure, automated live-session scheduling integrating Zoom and TalentLMS (JWT/RBAC, idempotency, transactions) cutting setup time from ~3 minutes to under 1 minute, and optimized real-time gaming dashboards/APIs with query tuning, caching, and CDN improvements (~60% latency reduction under peak load) on AWS.”

“Built a production anomaly-detection workflow at VDOIT for messy cloud billing/cost data, emphasizing validation, idempotency, retries, and monitoring. Delivered measurable impact by preventing ~$50K/month in overspend and improving response time, and is now applying the same multi-step pipeline approach to LLM-based agent workflows.”

Uzair Asif

Screened

Senior Full-Stack Software Engineer specializing in cloud-native web, mobile, and AI features

8y exp

“Frontend lead for a consumer-facing social platform, owning architecture through release. Built scalable React/TypeScript systems (Redux Toolkit, Remix) with a shared Storybook component library and strong quality gates (CI, Jest/Cypress). Experienced modernizing legacy codebases incrementally with feature flags and shipping major dashboard features with staged rollouts and close QA collaboration.”

Umair Azam

Screened

Senior Full-Stack Software Engineer specializing in Ruby on Rails and React

Lahore, Pakistan10y exp

“Frontend engineer with React/TypeScript experience who has led end-to-end UI work on a fintech product (React frontend with NestJS APIs), emphasizing performance (virtualized rendering, memoization, lazy loading, profiling) and quality at scale (unit tests and TDD). Also built and iterated on a snooker sports app, simplifying UX through audience-focused design decisions and streamlined onboarding.”

Varun Mahankali

Screened

Junior Full-Stack Software Engineer specializing in React, Node.js, AWS, and Generative AI

3y exp

“Built and production-deployed a Streamlit-based PDF RAG chatbot using LangChain (FAISS, embeddings, prompt templates) and OpenAI, optimizing Streamlit’s stateless behavior by caching vector DB + chat history to cut latency and API cost. Demonstrates a rigorous evaluation mindset (gold datasets, unit tests, LLM-as-judge, groundedness KPIs) and has experience communicating privacy/accuracy safeguards (RBAC, data masking, citations) to a non-technical client at Kalven Technologies.”

Mayank VYAS

Screened

Mid-level AI/ML Engineer specializing in LLM agents, RAG retrieval, and IoT ML systems

Tempe, AZ4y exp

“Built production LLM-driven products including a job-hunt AI (job ranking + resume optimization) and an InterviewAI agentic pipeline using LangChain. Focused on practical deployment concerns like securing OpenAI usage via rate limiting and tiered quotas, and demonstrates an applied approach to choosing models, retrieval methods (RAG), and prompting strategies.”

Atharva Chavan

Screened

Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration

Syracuse, NY2y exp

“Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.”

Merub SHAIKH

Screened

Junior Software Engineer specializing in full-stack web development and test automation

Chicago, IL3y exp

“Full-stack engineer who built and owned a production workflow/kanban-style drag-and-drop system in Next.js (App Router) with Postgres/Prisma, including reusable component abstractions, Cypress E2E coverage, and post-launch performance/bug ownership. Notable for measurable impact (25% faster UI dev, ~30% query perf improvement) and for leading an incremental Express→NestJS migration that reduced technical debt (~40%) through better structure, docs, and team enablement.”

Ram Abhinav Vedant Madabushi

Screened

Junior Full-Stack/AI Engineer specializing in web platforms and LLM applications

Palo Alto, CA2y exp

“Backend engineer from FoodSupply.ai who built and evolved a scalable restaurant/supplier product and order management platform using Node.js and REST APIs. Implemented a hybrid MySQL+MongoDB data architecture, optimized performance with Redis/Prisma, and led a phased migration with feature flags and a temporary sync layer to maintain data consistency. Strong focus on production security (OAuth2, RBAC, row-level security, AWS IAM) and reliability practices (testing with Pytest, Docker/AWS pipelines).”

“Software engineer with hands-on experience spanning backend APIs, streaming data systems, and cloud/infrastructure automation, who is already using agentic AI workflows in a disciplined way. Stands out for combining practical systems work in Spring Boot, Kafka/Spark/ClickHouse, and Terraform/Kubernetes with a thoughtful approach to AI oversight, architecture, and multi-agent orchestration.”

“Senior full-stack developer who has operated in lean, multi-product engineering environments with significant end-to-end ownership. Strongest in JavaScript/TypeScript, React, and Next.js, with hands-on experience building a custom media player and internal business operations platforms that improved efficiency through dashboards, RBAC, search, and performance optimization.”

“Ecommerce-focused full-stack developer with broad agency and brand experience, spanning Shopify, WordPress, and BigCommerce. Most notably built a custom app to sync products and inventory across three regional storefronts with 5k+ products, significantly reducing manual duplicate work for store employees. Strong fit for roles involving custom commerce apps, B2B ecommerce workflows, integrations, and headless storefronts.”