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Vetted Spring Boot Professionals
Pre-screened and vetted.
Mid-level Frontend Engineer specializing in scalable enterprise web applications
Senior Software Engineer specializing in healthcare and supply chain systems
Mid-level Software Engineer specializing in distributed systems and cloud-native backend platforms
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Senior Software Engineer specializing in backend, full-stack, and AI systems
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Mid-level Software Engineer specializing in Java microservices and AI for FinTech
Mid-level Full-Stack Developer specializing in cloud-native microservices
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Senior AI Python Engineer specializing in Generative AI and MLOps
Senior Full-Stack Developer specializing in cloud microservices and enterprise applications
Venkatesh ThimmaDhinakaran
Director-level Software Engineering Manager specializing in full-stack SaaS and communications platforms
“Hands-on Engineering Manager at Hyper-Reach modernizing a mission-critical emergency alerts platform used by county emergency directors and first responders during live disasters. He led a phased migration from a 25-year-old JSP monolith to React, shipped in 5 months instead of an estimated 1.5 years, with zero regression incidents and clear customer and sales impact.”
Harshini Kanamathareddy
Mid Software Engineer specializing in iOS, backend systems, and AI-powered applications
“Full-stack/backend engineer with experience spanning React/TypeScript, Flask, Spring Boot, SQL databases, and production mobile optimization. They’ve shipped features end to end, improved query performance and app startup/crash metrics, and helped drive a configuration-driven architecture that enabled faster releases across 30 consumer applications.”
Aniruddha Rajnekar
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”
Harika N
Mid-level Software Engineer specializing in VR simulation and full-stack development
“Built and owned core systems for VISTA, a VR drone training simulator in Unity/C#, including modular training scenarios, drone physics, restricted airspace logic, and dynamic weather-aware gameplay. Stands out for combining VR performance discipline on Meta Quest with realistic-yet-trainable flight controls and close collaboration with faculty SMEs to align the simulation with real training workflows.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”
JaswanthRaj Bantu Aindla
Mid-level Python Developer specializing in cloud-native microservices for FinTech and Insurance
“Backend/data engineer who has maintained high-traffic FastAPI microservices and delivered a hybrid AWS serverless+containers platform using Terraform and GitHub Actions, with secrets managed via Secrets Manager/SSM. Also led modernization of a mission-critical 10,000+ line SAS financial reporting engine into Python microservices and built AWS Glue ETL pipelines feeding a centralized data lake.”