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Vetted NoSQL Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend systems and AI voice platforms
Executive Engineering Leader (CTO/SVP) specializing in high-load platforms and GenAI/LLM systems
Junior Software Engineer specializing in backend systems, QA automation, and AI/ML
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).”
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.”
Yuvraj Goyal
Junior Full-Stack Software Developer specializing in GenAI RAG systems
“Product/UX designer who built a cloud-based data management and visualization system for healthcare and manufacturing, translating script-driven and highly technical workflows into guided, step-based experiences. Strong in progressive disclosure, role-based defaults, and trust-building UI patterns, with hands-on prototyping in Figma and close design-engineering collaboration (HTML/CSS, component systems, working TypeScript familiarity) to ship scalable, accessible designs.”
Chandini Sattineni
Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations
“Backend/LLM engineer who ships production internal tooling end-to-end: automated data-request processing with monitoring-driven improvements (better error diagnostics and lower latency via query/index tuning). Also built a RAG-based internal Q&A system over company docs and operational logs with guardrails (similarity thresholds, fallbacks, response limits) and an eval loop using real user queries and human review to drive prompt/retrieval changes.”
Mid-Level Software Engineer specializing in Java microservices and cloud-native AWS development
Director-level Software Engineering leader specializing in Microsoft cloud and SaaS platforms
Junior Full-Stack Software Engineer specializing in cloud-native microservices and data platforms
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React/Angular, and cloud microservices
Senior Technical Support Engineer specializing in IAM, SaaS administration, and endpoint security
Junior Full-Stack Software Engineer specializing in web, mobile, and cloud platforms
Mid-Level Software Engineer specializing in full-stack and AI/LLM evaluation
Mid-level .NET Full-Stack Developer specializing in scalable web applications and APIs
Junior Full-Stack Software Engineer specializing in distributed systems and scalable platforms
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in AI-native enterprise products
Mid-level Machine Learning Engineer specializing in healthcare and financial AI