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Vetted Azure Blob Storage Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Engineering Leader specializing in cloud-native SaaS and distributed systems
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.”
Zheng Wu
Junior Software Engineer specializing in backend systems and cloud messaging
“Data/ML engineer who has owned end-to-end systems across email deliverability/segmentation and production LLM apps. Built a Spark+Airflow segmentation engine that materially improved deliverability (99.9%) and open rates (>50%), and shipped a PDF-to-quiz RAG product using LangChain/Vertex AI/Chroma with strong guardrails and an eval loop that cut hallucinations to <5%.”
Junior Software Engineer specializing in cloud observability and distributed systems
Senior Unity Engineer specializing in VR and multiplayer networking
Mid-Level Backend Engineer specializing in distributed event processing
Junior Software Engineer specializing in backend systems and cloud messaging
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Meghashree N
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and cloud ML
“AI/ML engineer who has shipped both a safety-critical mental health RAG chatbot (Mistral 7B + Pinecone) with automated faithfulness/toxicity monitoring and a deep Q-learning investment recommendation engine at Lincoln Financial Group. Strong in production MLOps and orchestration (AWS Lambda/CloudWatch/SageMaker, Docker, AKS) and in translating regulated-domain requirements (clinical reliability, fiduciary duty) into measurable model constraints and monitoring.”
Charles Amoyaw
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.”
Mid-level Full-Stack Developer specializing in Python/Django and React
Mid-level Backend Software Engineer specializing in cloud infrastructure and AI-driven systems
Mid-Level Full-Stack Software Engineer specializing in web apps, cloud, and data visualization
Junior Software Engineer specializing in cloud infrastructure and full-stack development
Senior Data Engineer specializing in cloud data platforms and scalable ETL pipelines
Mid-level AI Engineer specializing in LLMs, RAG chatbots, and cloud AI testing
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems
Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM