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Vetted Auto Scaling Professionals
Pre-screened and vetted.
Mid-level Full-Stack & AI Engineer specializing in Python, cloud, and LLM applications
Mid-level Software Development Engineer specializing in distributed systems and GenAI
Senior Data Engineer specializing in AWS cloud migration and big data pipelines
Senior Cloud & Backend Engineer specializing in AWS and DevOps automation
Executive CTO / VP Engineering specializing in AI/ML and cloud-native SaaS platforms
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Omolara Okubanjo
Senior DevOps/DevSecOps Engineer specializing in AWS & Azure cloud infrastructure
“Infrastructure/DevOps-focused engineer working across Linux-based enterprise platforms that include IBM Power/AIX in a broader OpenShift/Kubernetes and cloud ecosystem. Built Azure DevOps CI/CD for containerized deployments and resolved a production deployment failure by tracing ImagePullBackOff to outdated registry credentials in Kubernetes secrets. Uses Terraform (with modular structure) plus Ansible to provision and standardize production environments with pipeline-based validation.”
Tauhid Arah
Senior DevOps Engineer specializing in AWS cloud platform engineering and Kubernetes
“Cloud-focused DevOps/Infrastructure engineer with hands-on AWS high availability, migration cutovers, and production automation. Built Jenkins-based CI/CD pipelines (Git, SonarQube, Artifactory) and manages Terraform IaC with S3/DynamoDB remote state, PR-based reviews, and staged environment promotion; targets $160k base. No direct IBM Power/AIX/PowerHA experience.”
Intern software engineer specializing in AI, cloud, and full-stack systems
Senior Full-Stack Software Engineer specializing in Python/Django and modern JavaScript
Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level DevOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
Senior DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech systems
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics