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Vetted JUnit Professionals
Pre-screened and vetted.
Sairam Bodapothula
Mid-level AI/LLM Engineer specializing in machine learning and generative AI systems
“AI/LLM-focused engineer with hands-on experience building RAG pipelines, prompt engineering workflows, and multi-agent systems using tools like LangChain. Stands out for combining AI-assisted development with production-grade validation and for leading the architecture/orchestration of agent-based recommendation systems that improved response time, accuracy, and scalability.”
Joseph Lee
Staff Software Engineer specializing in cloud platforms for healthcare and financial workflows
“Backend/data engineer with Optum healthcare claims domain experience building high-reliability Python microservices (FastAPI/Kafka/Postgres) and AWS data platforms (EKS, Glue, Redshift). Demonstrated strong production ownership: fixed duplicate Kafka processing via transactional outbox/idempotency, scaled to millions of daily events, and delivered major SQL performance gains (40+ min to <5 min, ~60% CPU reduction). Seeking remote-only work; targets $130k base.”
Raghu Prabhudeva
Staff Embedded/Automotive Systems Architect specializing in IVI, ADAS, and digital cockpit platforms
“Robotics-adjacent software engineer with hands-on ROS 2 experience building and integrating sensor nodes (IMU, GNSS, wheel encoder) and working with distributed pub/sub concepts via ROS IDL and DDS. Also has Gazebo exposure through Udacity coursework and uses Docker as a core development/deployment tool, with related experience in automotive camera-based solutions.”
Naga Harshita B
Mid-level Full-Stack Engineer specializing in cloud-native data and enterprise platforms
“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”
Apnav Poptani
Senior Software Engineer specializing in distributed systems, compliance, and healthcare platforms
“Engineer using AI deeply in real production workflows, not just for code generation: they built agents for PR reviews and incident debugging that reportedly reduced review time by 50% and sped root-cause analysis by 30%. They also designed a three-agent personalization pipeline for real-time navigation curation, showing hands-on experience with multi-agent systems, orchestration, and rule-based refinement.”
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Principal Software Engineer specializing in cloud platforms, automation, and distributed systems
Mid-level Software Engineer specializing in cloud storage and distributed systems
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Senior Software Engineer specializing in cloud-native, event-driven platforms and AI
Junior Software Engineer specializing in DevOps and full-stack web development
Entry-level Backend Software Engineer specializing in API automation and LLM testing
Staff Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Senior SDET/QA Engineer specializing in test automation, API, UI, and cloud testing
Mid-level Software Engineer specializing in backend microservices, data pipelines, and QA
Staff Software Engineer specializing in cloud-native microservices for financial platforms
Mid-Level Software Engineer specializing in AWS serverless and full-stack web development
Mid-Level Software Engineer specializing in distributed systems and AI/ML pipelines
Senior Full-Stack Engineer specializing in enterprise microservices across FinTech and Healthcare
Mid-Level Full-Stack Software Engineer specializing in web performance and cloud microservices
Mid-level Software Engineer specializing in backend microservices and API development