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Vetted Bitbucket Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in Java microservices and cloud-native platforms
Senior DevOps Engineer specializing in Kubernetes and multi-cloud infrastructure
Mid-level Data Analyst specializing in healthcare and financial analytics
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Senior Data Scientist and AI Engineer specializing in NLP, LLMs, and MLOps
Mid-level Salesforce Developer specializing in enterprise CRM and integrations
Mid-level Full-Stack Developer specializing in cloud-native enterprise applications
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
Director-level Technology & Management Consultant specializing in software delivery, cloud, and healthcare IT
Senior Salesforce Developer specializing in CRM, Service Cloud, CPQ, and AI automation
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Mid-level Full-Stack Developer specializing in cloud-native microservices
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Satwik Koppala
Mid-level Full-Stack Java Developer specializing in digital banking and cloud microservices
“Backend-leaning full-stack engineer in lending/financial services (Kotak Mahindra Bank Autos360; currently at Ally Financial) working on Spring Boot microservices with React dashboards. Has built reliability improvements for credit-bureau integrations (Experian) and created an internal monitoring/reporting platform that aggregates metrics/logs/ETL across services, cutting troubleshooting by ~40%.”
Laharika Kanchanapalli
Mid-level Cloud DevOps Engineer specializing in AWS/Azure infrastructure and Kubernetes
“Backend/ML platform engineer in the insurance domain who built and shipped an AI-driven risk scoring/fraud detection service for underwriting. Runs containerized .NET Core and Python inference services on Azure (AKS + GPU nodes) with Terraform/ARM and Azure DevOps CI/CD, and has hands-on experience improving reliability under peak load plus implementing production AI guardrails (drift monitoring, fallbacks, human review, audit logs).”
Ronak Seth
Mid-level DevOps & Systems Engineer specializing in AWS, Kubernetes, and CI/CD automation
“Cloud/DevOps engineer (6+ years) with healthcare domain experience who has owned production AWS systems end-to-end—building real-time data pipelines and an admission forecasting ML service delivered via API and Tableau. Led EMR modernization from on-prem/VMs to containerized AWS using phased migration and blue-green deployments, achieving ~99.5% uptime while cutting on-prem footprint ~30% and driving major automation gains (up to ~90% manual work reduction).”
Vedang Jadhav
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”
RAJ KUMAR
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Backend engineer at Discover who built and scaled Python/Flask services for a card dispute resolution platform, tackling long-running external network validations with Celery+Redis and delivering measurable gains (response time ~3s to <300ms; throughput +40%). Experienced in high-scale PostgreSQL/SQLAlchemy optimization (partitioning, read replicas, N+1 avoidance), event-driven systems with Kafka, and integrating ML fraud detection using AWS SageMaker/Lambda/ECS with clear separation of real-time vs batch processing.”