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Vetted Spring Framework Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in LLM apps and RAG-based knowledge retrieval
Junior Full-Stack Java Developer specializing in microservices and cloud-native APIs
Mid-level Java Software Engineer specializing in Spring Boot microservices on AWS
Mid-level Software Engineer specializing in Cloud, DevOps, and Generative AI
Mid-level Java Full-Stack Developer specializing in Spring Boot microservices and React
Mid-Level Full-Stack Software Engineer specializing in web analytics and cloud data pipelines
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Full-Stack Software Engineer specializing in Java/Spring microservices
Mid-Level Software Engineer specializing in backend, SaaS, and AI integrations
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Parth Shroff
Entry-level Full-Stack Software Developer specializing in AI and cloud applications
“Full-stack engineer who has independently owned and shipped educational web products from concept through launch, including an AI-powered thermodynamics tutoring app and a physics learning platform tied to research publication. Strong in React plus AWS serverless architecture, with a clear pattern of working directly with non-technical stakeholders, iterating from user feedback, and maintaining production systems end-to-end.”
srikanth tulluru
Mid-level Product Designer & Design Technologist specializing in design systems and GenAI UX
“Enterprise/industrial UX designer focused on making complex, real-time automated systems feel trustworthy and predictable. Has hands-on experience observing operators in logistics/automation environments, building shared interaction models to unify fragmented products, and collaborating tightly with engineers using component-system thinking (HTML/CSS/TypeScript) to ship resilient UIs that handle partial failures.”
Pavan Sai Reddy Pendry
Junior AI/ML Engineer specializing in GenAI, RAG, and full-stack ML systems
“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”
Lakshmi sailaja
Mid-Level Software Engineer specializing in backend microservices and AI/ML integration
“Built and shipped production LLM-driven pipelines for clinical data processing, turning semi-structured inputs into validated structured outputs for downstream analytics. Emphasizes predictability and safety via strict JSON schemas, state-machine orchestration, backend-controlled tool calling, and robust fallbacks (rule-based checks/manual review) plus monitoring and offline/online evaluation loops; also has experience hardening workflows against messy ERP/finance data with idempotency and state tracking.”
Mid-level Full-Stack Developer specializing in scalable web apps and cloud deployment
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Junior Full-Stack Software Engineer specializing in web applications and cloud deployment
Senior Full-Stack Java Developer specializing in cloud-native microservices and modern web apps