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Vetted Microsoft SQL Server Professionals
Pre-screened and vetted.
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms
Denis Siminiuc
Junior Research Assistant specializing in LLMs, NLP, and data systems
“Software-focused candidate who built a data monitoring pipeline during a hedge fund internship, integrating real databases and an email API to notify teams when data was ready. Comfortable working through legacy/scrappy code and uses LLMs to accelerate comprehension and delivery, with an emphasis on thorough testing and clear communication with stakeholders/customers.”
Deepak Guntreddi
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”
jagadeshwar nomula
Executive Technology Leader (CTO) specializing in AI, Search, Cloud, and Edge computing
“Founder building an enterprise agentic AI startup who has already raised about $100K (friends & family plus self-funding). Has prior and current experience engaging VCs (including outreach to both large and small firms) and emphasizes demo-driven pitching, enterprise customer validation, and targeting billion-dollar market opportunities.”
Principal Software Engineer specializing in distributed systems, security, and low-latency platforms
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Senior Full-Stack Software Engineer specializing in web platforms and AI/ML-enabled services
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Full-Stack Engineer specializing in cloud-native and AI-powered enterprise products
Mid-level Software Engineer specializing in backend systems and AI platforms
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Senior Full-Stack Python Engineer specializing in trading and FinTech platforms
Senior Full-Stack .NET Engineer specializing in cloud-native web applications
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS
Chengzhu He
Staff/Principal Cloud Infrastructure Engineer specializing in Kubernetes and OpenStack
“Platform/backend engineer focused on Kubernetes at scale: built a Java control-plane service for multi-region cluster provisioning/monitoring/upgrades using Kafka-driven async workers, and solved peak-load provisioning failures by eliminating blocking I/O and dynamically scaling consumers. Also shipped an LLM-assisted Kubernetes troubleshooting/remediation feature that pulls Prometheus logs/metrics into prompts and uses guardrails (confidence thresholds + human-in-the-loop) to prevent risky actions.”
Sabrish Kumar Pradeep Kumar
Mid-Level Software Engineer specializing in data pipelines, observability, and analytics
“Meta engineer who improved a critical revenue estimation dataset pipeline that was arriving ~6 days late—diagnosed via raw logs/lineage, redesigned legacy scans to only process the needed window, and shipped validation plus freshness/lag dashboards. Delivered ~50% latency reduction (to ~3 days) and regained adoption by running old/new pipelines in parallel with gated cutover and evidence-based customer communication. Applies incident-response rigor to real-time LLM/agentic workflow debugging and regularly runs developer demos/workshops.”
Ravikanth Kasamsetty
Executive AI/ML Engineering Leader specializing in cloud-native SaaS and GenAI platforms
“Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.”