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Vetted Amazon CloudWatch Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in healthcare LLMs and conversational AI
Senior AI/ML Engineer specializing in healthcare and fintech AI systems
Senior Software Engineer specializing in frontend platforms for FinTech and e-commerce
Senior Full-Stack Engineer specializing in cloud-native enterprise and AI platforms
Mid-level AI Software Engineer specializing in Generative AI and FinTech
Mid-level Software Engineer specializing in distributed systems and FinTech platforms
Senior Software Engineer specializing in backend systems and FinTech/e-commerce platforms
Senior Software Engineer specializing in AWS serverless backend and data engineering
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Senior Software Engineer specializing in cloud-native systems and Generative AI
Mid-level Full-Stack Software Engineer specializing in cloud-native and data platforms
Mid-level Full-Stack Software Engineer specializing in AI-powered applications
Mid-level Full-Stack Engineer specializing in scalable web platforms and AI/ML tooling
Abhishek Yadav
Mid-level Full-Stack Engineer specializing in Python and FinTech
“Full-stack engineer with experience shipping both enterprise financial systems at Citi and production AI copilots. Built a real-time transaction monitoring dashboard that cut manual reporting by ~60%, and also designed a grounded, human-in-the-loop LLM support assistant with RAG, structured outputs, and production evals for quality and compliance.”
Arnav Singh
Junior Software Engineer specializing in full-stack web, cloud data, and applied ML
“Backend engineer who evolved the X-Ray gaming analytics platform, leading a zero-downtime MongoDB→AWS DocumentDB migration with dual-write, checksum-based validation, and Kubernetes canary rollouts while maintaining real-time monitoring for millions of concurrent sessions. Strong in FastAPI/Python API scaling and performance tuning (cut latency from ~2s to <150ms and reduced DB load 90%) plus production-grade auth/RLS security patterns (JWT, Supabase Auth, PostgreSQL RLS).”
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.”