.png){kind=logo}
Vetted API Design Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in serverless AWS and IoT products
Mid-Level Software Engineer specializing in Java microservices and cloud-native development
Mid-level Software Engineer specializing in full-stack and distributed systems
Mid-level Backend Software Engineer specializing in Python, APIs, and data pipelines
Mid-Level Software Engineer specializing in backend integrations and distributed systems
Mid-level Software Engineer specializing in backend systems and AI platforms
Junior Full-Stack Engineer specializing in Python backends and AI search systems
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
Mid-level Backend Software Engineer specializing in cloud microservices and AI agent systems
Mid-level Software Engineer specializing in full-stack and AI-enabled platforms
Junior Software Engineer specializing in full-stack web apps and REST APIs
Junior Software Engineer specializing in full-stack AI/ML forecasting and embedded systems
Senior Full-Stack Software Engineer specializing in AI, cloud platforms, and payments
Executive engineering leader specializing in startup platforms, cloud architecture, and AI/Web3
Mid-level Full-Stack Software Engineer specializing in AI-powered document platforms
Ruthvika Mamidyala
Mid-level Data Scientist specializing in GenAI, RAG, and predictive modeling
“Backend engineer who built and evolved Python/FastAPI services (including AWS-deployed ML prediction APIs) for real-time profitability and risk insights at TenXengage. Emphasizes pragmatic architecture, strong validation/observability, and secure access controls (RBAC + row-level filtering), and has led safe migrations via parallel runs and incremental rollouts; reports ~20% forecasting accuracy improvement.”
Snigdha Reddy Podduturi
Junior Data & AI Engineer specializing in cloud AI and analytics
“Built production AI backend systems in healthcare and e-commerce, including a healthcare agent that automated clinical workflows like medication refills, immunizations, and scheduling using FHIR APIs and cloud-native infrastructure. Strong in end-to-end backend ownership, LLM orchestration, and adding guardrails/validation for high-stakes and customer-facing AI workflows.”
Ronald Forte
Entry-Level Software Engineer specializing in AI APIs and RAG systems
“Junior/entry-level AI/LLM engineer who built a production-oriented RAG onboarding and knowledge assistant that ingests GitHub repos and internal sources (e.g., Confluence/Jira) using ChromaDB, with reliability features like retrieval fallbacks, retries, caching, and monitoring. Currently implementing a LangGraph-based multi-agent workflow with intent routing and Pydantic/Magentic-validated structured outputs, plus CI/CD offline evals and online metrics (Grafana/Prometheus) to improve predictability and reliability.”
Uvesh LNU
Mid-level Full-Stack Developer specializing in AI and cybersecurity platforms
“Builder of multiple AI products including Nova-Core, a multi-model assistant using Grok and Gemini, and Lumina Shield, a prototype for vulnerability detection and performance analysis that routes findings into Nova-Core for explanation and fixes. Also created a desktop voice agent ('Soul') and brings 6 years of experience in a non-profit audio consultancy, with a personal story of being a cancer survivor motivated by purpose-driven work.”