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Vetted JUnit Professionals
Pre-screened and vetted.
Mid-Level Software Developer specializing in AI/ML and cloud-native microservices
Junior Full-Stack Software Engineer specializing in Java/Python, React, and AWS
Senior Full-Stack Java Developer specializing in cloud-native microservices for FinTech
Mid-level Full-Stack Software Engineer specializing in Generative AI and cloud-native systems
Senior Full-Stack Software Engineer specializing in FinTech and Healthcare IT
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Mid-level QA Test Engineer specializing in automation, API validation, and CI/CD
Mid-level Full-Stack Developer specializing in modern web apps and cloud platforms
Senior Software QA Engineer specializing in test automation and CI/CD
Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP
Mid-level Java Software Engineer specializing in backend systems and AI-integrated platforms
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Vishesh Patel
Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment
“Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.”
Anupriya Palanisamy
Mid-Level Software Engineer specializing in Java microservices and event-driven systems
“Backend-focused engineer with experience spanning research and healthcare: owned a Python/SQL data pipeline that transformed vulnerability-fix code data from SQLite into model-ready JSON for LLM analysis. Also deployed Dockerized Spring Boot microservices to Kubernetes with Jenkins CI/CD and built Kafka-based real-time event streaming (appointment/report events) with idempotent consumers to avoid duplicate processing.”