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Vetted Infrastructure as Code Professionals
Pre-screened and vetted.
Director-level Data Engineering Leader specializing in AI/LLM platforms and real-time data systems
Executive Product & Technology Leader specializing in FinTech, AI/ML, Risk & Digital Transformation
Executive Engineering Leader specializing in AI and Financial Services platforms
Senior Cloud DevOps Engineer specializing in AWS/Azure platform engineering
Mid-Level Software Engineer specializing in payments, fraud detection, and risk analytics
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Executive Technology Leader (CTO/Fractional CTO) specializing in SaaS, cloud architecture, and startups
Senior DevOps & Cloud Engineer specializing in multi-cloud platforms and Kubernetes GitOps
Senior Data & ML Engineer specializing in big data platforms and marketing/ads ML
Senior Software Engineer specializing in generative AI and full-stack platforms
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Senior Machine Learning Engineer specializing in AI platforms and backend systems
Senior Full-Stack Engineer specializing in cloud platforms and applied AI
Senior AI & Systems Architect specializing in ML infrastructure and FinTech
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Paul Liu
Senior Software Engineer specializing in cloud-native backend and web/mobile apps
“Backend engineer with Tesla experience building Python-based, serverless microservices for a supply chain portal, including a MongoDB-backed tracking/logging system and a reconciler Lambda to manage retries and failures. Has hands-on Kubernetes (EKS) and GitOps (Argo CD) experience, plus real-time Kafka pipelines for fleet/IoT telemetry and proxy-based migrations from monolith systems to AWS databases.”
Deekshit Myakala
Mid-level Software Engineer specializing in cloud automation and data/ETL platforms
“Backend engineer with AWS multi-region production experience building APIs and workflow automation for data center/storage hardware operations (firmware orchestration, maintenance checks, ticketing, dashboards). Also shipped an internal AI chat tool that parses hardware runbooks and incorporates user feedback to retrain the model, and has a strong testing/quality discipline (95%+ coverage) plus database performance tuning via indexing and query monitoring.”