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Vetted Amazon EC2 Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in backend systems, cloud infrastructure, and applied AI/ML
Senior Full-Stack Software Engineer specializing in Python and scalable API-driven systems
Mid-level Full-Stack Java Developer specializing in Spring Boot microservices and REST APIs
Mid-Level Software Engineer specializing in full-stack development and cloud platforms
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Mid-level QA Automation Engineer specializing in healthcare test automation and DevOps
Senior Data Engineer specializing in AWS-based data pipelines and multi-tenant SaaS
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Sravani Gangaraju
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
“Built and deployed a production NLP sentiment analysis system at Piper Sandler to turn noisy, finance-specific customer feedback into scalable insights. Demonstrates strong end-to-end MLOps: fine-tuning BERT, improving label quality, monitoring for language drift, and automating retraining/deployment with Airflow and Docker (plus Kubeflow exposure).”
VamshiKrishna Challa
Mid-level Data Scientist specializing in industrial IoT, predictive analytics, and generative AI
“ML/NLP engineer with Industrial IoT experience who built an end-to-end anomaly detection and GenAI explanation system: AWS (S3, PySpark, EC2/Lambda) pipelines feeding dashboards, plus transformer-embedding vector search to connect anomalies to noisy maintenance notes and past events. Demonstrated measurable impact (15% lift in defect detection; ~35% reduction in manual review; 35% fewer preprocessing errors) and strong productionization practices (orchestration, monitoring, rollback, data-quality controls).”
Vijay Kumar
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”