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Vetted NoSQL Professionals
Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Data Scientist / AI/ML Engineer specializing in financial services and GenAI
Senior Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Java Developer specializing in cloud-native web applications
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
Mid-level Python Developer specializing in AWS cloud-native backend systems
Mid-level Data Scientist specializing in NLP, risk analytics, and MLOps
Mid-level AI/ML Engineer specializing in risk modeling, NLP, and Generative AI
Senior Full-Stack Java Engineer specializing in microservices for healthcare and financial services
Executive Technology Leader (CTO) specializing in AI-enabled SaaS and cloud transformation
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”
Rishabhh Garg
Software Engineer specializing in full-stack development and AI/ML automation
“Backend Python engineer focused on production-grade automation and reliability, with hands-on experience designing scalable API systems on PostgreSQL and making pragmatic architecture calls (modular monolith over premature microservices). Demonstrated measurable performance wins (50–60% latency reduction) and strong operational rigor via observability, incremental rollouts/feature flags, and security patterns like JWT + RBAC + database row-level security.”
Viacheslav Bulba
Senior QA Automation Engineer specializing in UI/API test automation and CI/CD
“QA professional with 15+ years testing a variety of applications (not games), experienced partnering with developers/designers/product owners across the feature lifecycle. Brings a disciplined, methodology-driven approach to test design, regression coverage, and high-quality defect reporting using tools like Jira, TestRail, qTest, and HPQC; targeting ~100K base (flexible based on total package).”
Nithya Nagaraj
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud microservices
“Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.”