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Vetted GraphQL Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in cloud-native enterprise applications
Senior Full-Stack Developer specializing in energy and healthcare workflow systems
Mid-level Software Engineer specializing in full-stack AI and cloud-native systems
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
Mid-level Full-Stack Software Engineer specializing in AI automation and FinTech
Senior Full-Stack Python Developer specializing in Django, FastAPI, and cloud platforms
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Senior Full-Stack Engineer specializing in scalable web apps and API architecture
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Senior AI Python Engineer specializing in Generative AI and MLOps
Aniruddha Rajnekar
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”
Bill Cheng
Director-level Engineering Leader specializing in SaaS platforms and AI systems
“Entrepreneurial candidate building an LLC focused on applying AI to improve call center customer service, with an early go-to-market focus on local government call centers. They are already in discussions with a government prospect and have a clear thesis around solving high turnover and low knowledge retention through AI-assisted training and support systems.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”
JaswanthRaj Bantu Aindla
Mid-level Python Developer specializing in cloud-native microservices for FinTech and Insurance
“Backend/data engineer who has maintained high-traffic FastAPI microservices and delivered a hybrid AWS serverless+containers platform using Terraform and GitHub Actions, with secrets managed via Secrets Manager/SSM. Also led modernization of a mission-critical 10,000+ line SAS financial reporting engine into Python microservices and built AWS Glue ETL pipelines feeding a centralized data lake.”
Satwik Koppala
Mid-level Full-Stack Java Developer specializing in digital banking and cloud microservices
“Backend-leaning full-stack engineer in lending/financial services (Kotak Mahindra Bank Autos360; currently at Ally Financial) working on Spring Boot microservices with React dashboards. Has built reliability improvements for credit-bureau integrations (Experian) and created an internal monitoring/reporting platform that aggregates metrics/logs/ETL across services, cutting troubleshooting by ~40%.”