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Vetted Schema Design Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in cloud-native enterprise platforms
Senior Python Backend Engineer specializing in AWS, APIs, and data pipelines
Intern AI/ML Engineer specializing in cloud-native RAG systems and scientific ML
Mid-level Full-Stack .NET Developer specializing in insurance and healthcare systems
Senior React Developer specializing in scalable enterprise web applications
Mid-level Software Engineer specializing in distributed systems and cloud backend
Mid-level Backend Engineer specializing in cloud-native microservices and AI-driven APIs
Mid-level Supply Chain Analyst specializing in Lean Six Sigma and SAP-driven optimization
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Senior Backend Software Engineer specializing in FinTech and distributed systems
Mid Software Developer specializing in Java microservices and cloud-native systems
Mid-level Finance Systems Analyst specializing in ERP controls, revenue modeling, and BI
Sudheer koki
Mid-level AI/ML Engineer specializing in predictive modeling, data pipelines, and RAG systems
“Built and productionized an LLM-powered internal knowledge search system in a regulated environment, using embeddings/vector DB retrieval with strict grounding and confidence gating to reduce hallucinations. Reported ~45% accuracy improvement over keyword search and implemented end-to-end orchestration, monitoring, CI/CD, and incremental re-indexing to manage latency and data freshness while driving adoption with business stakeholders.”
Sri Sai Teja Narra
Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals
“Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.”
Akaash Thawani
Mid-Level Full-Stack Engineer specializing in web apps and LLM integrations
“Built a production AI-powered sales automation system that reads inbound product enquiry emails, extracts structured data, and routes decisions via a rules-based workflow integrated with a product database. Leverages Gemini structured outputs/schema plus option-based prompting and validation to keep responses reliable, and optimizes latency by breaking agent reasoning into smaller LLM calls; evaluates workflows with LangSmith and metrics like completion rate and accuracy.”