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Vetted Waterfall Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in ML, deep learning, and manufacturing analytics
Mid-Level Software Engineer specializing in Java/Spring microservices for FinTech
Mid-level Business Analyst specializing in AML compliance and data analytics
Intern data and technology analyst specializing in analytics and IT systems
Senior Salesforce Developer specializing in enterprise CRM and AI automation
Senior Java Full-Stack Developer specializing in enterprise web apps and microservices
Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms
Director of Technology Delivery specializing in Agile transformation and enterprise programs
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Bryan Holland
Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems
“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”
Sai Haritha Sardena
Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML
“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”
Vigneshwari Shankiri
Senior Java Full-Stack Developer specializing in microservices and cloud platforms
“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”
Pranit Chetta
Senior Full-Stack Java Engineer specializing in cloud-native AI and enterprise platforms
“Full-stack product engineer who owned a live-events digital ticketing platform end-to-end, including blockchain-based ticket validation and high-traffic booking flows. Stands out for combining Angular/React frontend work with Java/Spring Boot backend architecture, plus strong production reliability practices around concurrency control, queues, observability, and UX optimization.”
Senior DevOps Engineer specializing in multi-cloud infrastructure and Kubernetes
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Vamsi Koppala
Mid-level Machine Learning Engineer specializing in Generative AI and RAG systems
“LLM/ML engineer who has shipped an enterprise RAG-based Q&A system (LangChain/LlamaIndex, FAISS + Azure Cognitive Search, GPT-3.5/4 via OpenAI/Azure OpenAI) to production on Docker + Kubernetes/OpenShift, tackling hallucinations, retrieval quality, latency/cost, and RBAC/IAM security. Also partnered with operations leaders to turn manual reporting into an LLM-powered summarization and forecasting dashboard driven by real KPIs and iterative stakeholder feedback.”