Ganesh Mohta

Software Engineer experienced in building high-performance Go microservices and full-stack applications with React and Node.js. Skilled in designing reliable backend systems, automating CI/CD pipelines, and instrumenting services for performance and scalability. Published IEEE research on AI-driven IoT systems, demonstrating strong software engineering fundamentals and an interest in system internals. Eager to build scalable, production-ready backend systems.

Software Engineer Intern at nference (2026-01 – 2026-06)

AI-powered healthcare technology company focused on clinical research, real-world evidence, and healthcare data analytics.

• Contributed to the development of a clinical AI platform that manages research cohort creation and role-based access control for biomedical research workflows.
• Implemented Prometheus Summary instrumentation to monitor p25, p50, p75, p90, and p99 API latency, Elasticsearch operations, and external bucket storage calls, providing structured insights into system performance bottlenecks.
• Identified and fixed a misconfigured quantile error margin (p99 error was set to 0.099, making the 99th percentile estimate effectively meaningless), correcting it to 0.001 to produce actionable, accurate latency data.
• Led hands-on testing initiatives achieving 70% unit test coverage and 58% integration test coverage across the application using Elasticsearch mocking and mitmproxy simulation to validate API endpoints, external storage calls, and service reliability under real-world conditions.
• Automated CI/CD pipelines using GitHub Actions to enforce testing, static analysis, code coverage thresholds, and dead code detection, improving code quality and reducing regression risk.
• Collaborated with developers, product owners, and stakeholders to conduct hands-on testing of Go microservices and clinical AI workflows, ensuring quality and functionality of deliverables across biomedical research pipelines.
• Leveraged debugging techniques to trace and resolve race conditions in Go microservices, reducing incident response time by 40% and enhancing system reliability.

Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering – Sri Eshwar College of Engineering (2022 – 2026)