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Vetted GraphQL Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Mid-level Full-Stack Python Developer specializing in cloud-native microservices
Technology Executive specializing in AI-native engineering and cybersecurity governance
Senior Software Engineer specializing in Python and AWS cloud-native backend systems
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Senior Front-End Engineer specializing in React and marketing automation
Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Aman Garg
Mid-Level Full-Stack Software Engineer specializing in Python and React/TypeScript
“Built and shipped a map-embedding SDK (published to npm) for Walmart apps, solving key performance issues with real-time streaming (WebSockets) and Canvas rendering while prioritizing developer experience. Also applies LLM/agentic patterns in production workflows—using diagnostic agents and human-in-the-loop escalation to detect and resolve issues (e.g., voice agent loops caused by RAG API failures). Has sales-engineering experience supporting enterprise renewals, including a million-dollar contract renewal while at Siemens working with Ford stakeholders.”
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”