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Vetted Gradle Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud-native microservices and full-stack development
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Junior Software Engineer specializing in Java game server plugins and machine learning
Mid-Level Full-Stack Software Engineer specializing in cloud-native web apps and PDF/canvas tooling
Mid-Level Full-Stack Software Engineer specializing in SaaS logistics and cloud-native systems
Senior Java Full-Stack Developer specializing in cloud-native microservices
Mid-level Software Developer specializing in Java/Spring microservices and cloud-native apps
Junior Full-Stack Software Developer specializing in Java microservices and cloud CI/CD
Mid-level Software Engineer specializing in Java/Spring Boot microservices
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
Senior Full-Stack Developer specializing in cloud-native microservices and modern web apps
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Mid-level SDET specializing in QA automation, API and performance testing
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
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.”
Sneha Sridhar
Mid-level Software Engineer specializing in cloud-native backend and distributed systems
“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”
Mounika Chintala
Senior Java Full-Stack Developer specializing in cloud-native microservices
“Backend Java developer who built an end-to-end upcoming payments feature: Spring Boot/Hibernate microservices with MySQL query/index optimization and Kafka event publishing, plus a web UI timeline component enabling users to view, skip, and edit scheduled payments with clear status indicators.”
Annie Suzan Edwin Arokiaraj Caroline
Junior Full-Stack Software Engineer specializing in distributed systems and data pipelines
“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”
Shuchi Shah
Senior Software Engineer specializing in Backend Systems and Generative AI (RAG)
“Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.”
Sri srilakshmi
Senior QA Automation Engineer specializing in web, API, mobile, and cloud test automation
“Game QA professional with AAA open-world shipping experience, owning high-impact quality risks like save-data corruption, progression blockers, performance drops, and multiplayer desync. Demonstrates strong systems thinking and exploit prevention (e.g., reproduced and helped fix a reward-duplication race condition using network interruption + rapid input), with disciplined JIRA/TestRail workflows and evidence-driven bug reporting.”