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Vetted Microsoft SQL Server Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
Jack Ahn
Executive Technology & R&D Leader specializing in Generative AI and Digital Health
“Hands-on engineering leader currently at Vianai (GenAI enterprise applications) building AI-assisted data exploration/insights products with Python and React. Previously Corporate VP of Digital Health at Samsung Electronics, where they helped close key partner deals by demonstrating API-driven openness and led a major Samsung Health modernization from monolith to microservices for horizontal scalability and faster, safer iteration.”
Senior Software Engineer specializing in cloud platforms and healthcare AI
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling
Senior Python Developer specializing in FinTech and RegTech payment systems
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Upender Mula
Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech
“Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.”
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Senior Software Engineer specializing in AI/ML and LLM-powered applications
Director of Risk & Control Management specializing in financial services governance and regulatory remediation
Senior Full-Stack Engineer specializing in high-traffic web platforms and payments
Senior Full-Stack Software Engineer specializing in scalable web platforms and cloud services
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT
Senior Full-Stack Engineer specializing in AI-first web modernization and cloud platforms
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.”
Principal Software Engineer specializing in distributed systems, security, and low-latency platforms
Mid-Level Backend Software Engineer specializing in payments and real-time analytics