# Neeraj Dana > Founder of Profract (https://profract.com) and staff-level software engineer based in Bengaluru, India, with 11+ years building production systems at companies including Atlassian, ServiceNow and Egnyte. Specialises in distributed and event-driven systems, real-time data sync and production AI. Through Profract he helps startups go from idea to production and helps startups and mid-size companies scale their systems, remotely worldwide. Contact: ndana@profract.com ## About - [Home and profile](https://neerajdana.com/): expertise, experience, what he's open to, and quick facts. - [Experience](https://neerajdana.com/#experience): Atlassian (commerce, 2025–present), ServiceNow (Staff Software Engineer, Generative AI, 2024–2025), Egnyte (Senior Software Developer, 2023–2024), Trianz (Senior Tech Lead, 2020–2023), Kahnputers (Team Lead, 2016–2020), MegaSoft (Senior Software Developer, 2013–2016). - [Case studies](https://neerajdana.com/case-studies.html): 80% fewer flaky end-to-end tests at Atlassian; real-time two-way sync between Egnyte and Google Workspace; Redis caching with 30% lower query latency at Egnyte; LLM orchestration and output validation for ServiceNow's prompt-to-app product. ## Services (through Profract) - MVP to production, for startups: architecture, hands-on build and launch, including AI-first products. - Architecture & scaling, for startups and mid-size companies: reviews, fractional technical leadership, reliability, performance and data consistency. - Production AI: orchestration, RAG, agents, output validation, evals, latency and cost. - [AI evaluation and coding-task work for AI labs](https://neerajdana.com/ai-agent-evaluation.html). ## Writing - [Why Kafka consumers process messages twice, and how to stop it](https://neerajdana.com/notes/kafka-consumer-duplicate-messages-rebalance.html) - [Designing verifiable coding tasks for AI agents](https://neerajdana.com/notes/designing-verifiable-coding-tasks-for-ai-agents.html) - [Glossary of distributed systems and AI evaluation terms](https://neerajdana.com/glossary.html) ## Full text - [llms-full.txt](https://neerajdana.com/llms-full.txt): every page as plain text. ## Profiles - LinkedIn: https://linkedin.com/in/neeraj-dana - GitHub: https://github.com/neerajdana996