Vetted GraphQL Professionals

Aditya Niture

Screened

Mid-level Full-Stack Software Engineer specializing in AI-augmented web and mobile systems

Chicago, IL4y exp

“Builder-oriented engineer who has shipped production systems across fintech-style payments, mental health recommendations, industrial oil-and-gas analytics, and AI-assisted client discovery. Stands out for combining deep backend reliability practices with founder-facing product scoping, and reports using Claude-based internal tooling to increase delivery capacity by 40% and handle eight concurrent projects.”

“Frontend-focused product builder who designed and implemented an internal PCB quoting and pricing platform at SVTronics end to end. They translated a vague operational problem into a shipped React/TypeScript workflow that cut quote preparation time by about 40% and reduced manual errors, showing strength in both UX simplification and production delivery.”

“Full-stack engineer with experience building a NASA-funded simulation management platform using React, TypeScript, Next.js, PostgreSQL, AWS, and Docker. Stands out for owning complex, long-running workflow features end to end in production and driving measurable performance improvements, including a 40% database load reduction and API latency improvements from roughly 500ms to under 200ms through Redis caching and async architecture.”

“Full-stack engineer with experience building healthcare scheduling, telehealth, reimbursement, and agent workflow systems using React, Node.js, MySQL, TypeScript, and GraphQL. Stands out for combining hands-on product design in ambiguous environments with measurable technical impact, including a 40% performance improvement and reduced LLM costs through batching and backend optimization. Also brings manufacturing/MES experience and a strong habit of reshaping products based on direct user feedback.”

“ML/AI engineer with hands-on experience building healthcare and fraud-detection systems from experimentation through deployment, monitoring, and retraining. Stands out for combining real-time IoT pipelines, cloud-native MLOps, and GenAI/RAG in regulated healthcare settings, with reported impact including reduced emergency response times and a 25% reduction in manual diagnosis time.”

“Founding engineer at a recruiting SaaS startup who helped build the product from scratch through Series A, then went on to build a production compliance filing platform handling regulated BOI/RRE workflows. Strong Rails-centric full-stack engineer with hands-on experience in startup ambiguity, third-party integrations, bulk processing, and audit-friendly data systems.”

“Cloud infrastructure/DevOps engineer focused on AWS/Azure production environments, with hands-on experience running EKS-based platforms, Terraform-driven IaC, and secure Jenkins/GitLab CI pipelines. Has led real-world migrations from EC2 to Kubernetes using blue/green cutovers and executed multi-AZ failover testing with documented same-day recovery and no data loss; does not have direct IBM Power/AIX ownership experience.”