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Vetted SQL Query Optimization Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Senior Full-Stack Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-level Software Development Engineer specializing in backend systems and data pipelines
Mid-level Healthcare Data Analyst specializing in claims, EHR, and population health
Senior Data Scientist specializing in ML engineering and cloud analytics
Mid-level Software Engineer specializing in backend systems and cloud platforms
Principal Full-Stack Engineer specializing in cloud-native platforms and AI-powered developer tools
Senior Backend Software Engineer specializing in FinTech and distributed systems
Mid Software Developer specializing in Java microservices and cloud-native systems
Senior .NET Full-Stack Developer specializing in healthcare and financial services
Mid-level Full-Stack Software Developer specializing in AI and cloud applications
Junior Data Engineer and Full-Stack Developer specializing in AI and data platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Venkata Tharun Seemakurthi
Mid-level AI Software Engineer specializing in automation, RAG, and data systems
“Founding AI engineer at an AI SaaS startup who built the full GTM knowledge and retrieval stack for non-technical teams, driving 60% less manual effort and 25% faster deployments. Also brings enterprise B2B SaaS integration experience from Wipro, including external API/documentation work for large-scale partner ecosystems.”
Nakul Reddy Sarasani
Junior Full-Stack Software Engineer specializing in cloud-native distributed systems
“Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.”