.png){kind=logo}
Vetted Spring Boot Professionals
Pre-screened and vetted.
Junior Backend/Full-Stack Software Engineer specializing in distributed systems
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Mid-Level Software Developer specializing in backend systems and data engineering
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
Mid-Level Software Engineer specializing in cloud-native full-stack and DevOps
Junior Full-Stack Software Engineer specializing in React, Node.js, and cloud-native microservices
Mid-level Software Engineer specializing in AI, backend systems, and full-stack development
Senior Full-Stack .NET Developer specializing in healthcare IT and SaaS
Mid-level Full-Stack Engineer specializing in AI products and FinTech
Mid Software Engineer specializing in AI/ML, LLM systems, and backend platforms
Senior Software Engineer specializing in FinTech and treasury platforms
Senior Full-Stack Engineer specializing in scalable web platforms and real-time applications
Junior Full-Stack Software Engineer specializing in web platforms and cloud applications
Naveen Kancharla
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”
Balaji Vellaluru
Mid-level Software Engineer specializing in full-stack and computer vision systems
“Built D.O.C.T.O.R, a 0-to-1 anatomy learning platform with 450+ 3D models that reached 6,500+ users, saved $850K versus a costly alternative, and was featured in a University of Illinois Chicago news article. The candidate combines product initiative with hands-on full-stack execution, spanning React/Three.js, databases, auth, analytics, and AI workflow automation side projects.”
Iangolana Riantsoa RAMELSON
Mid-level Full-Stack JavaScript Developer specializing in React, Next.js, and TypeScript
“Frontend engineer who led end-to-end delivery and scaling of an internal HR product (Easy Time), owning architecture decisions (React/TypeScript, Redux Toolkit, Tailwind/shadcn). Experienced building complex dashboard UIs with advanced filters and real-time interactions, collaborating directly with design (Figma) and shipping quickly via incremental delivery and GitLab CI-driven deployments.”
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”
Drake Razinejad
Senior Frontend Architect specializing in Angular, React, and full-stack web platforms
“Fullstack engineer who has personally architected and implemented entire systems, including a clinic patient management platform and multi-tenant product capabilities. Stands out for combining domain-driven design with hexagonal architecture to keep fast-changing products maintainable, and for shipping customer-facing improvements that increased user satisfaction and helped drive revenue growth.”