Summary
Nikhil Londhe is a software engineer and research assistant with 8 years of professional experience building scalable, cloud-native systems across enterprise, e-commerce, and B2B SaaS. Currently pursuing a Master's in Software Engineering at Carnegie Mellon University, he focuses on AI-assisted software engineering workflows that span requirement elicitation to iterative LLM-driven development. He has led teams to deliver high-throughput pipelines and real-time analytics—architecting systems that process 60M+ event logs/day and enable sub-second aggregations on 100M rows. Past work includes turning manual onboarding and recurring-scheduling headaches into automated, multi-tenant services that saved thousands of staff-hours and eliminated manual trial setups. Known for instrumenting minimal-impact telemetry across large codebases (<10 ms/event overhead) and driving measurable reliability and productivity gains, he blends hands-on implementation with product-minded architecture. Based in Pittsburgh, he seeks messy, technical, high-impact problems that benefit from rigorous engineering and practical research.
8 years of coding experience
6 years of employment as a software developer
Diploma in Engineering, Mechanical Engineering, Diploma in Engineering, Mechanical Engineering at AISSMS Polytechnic
Master of Engineering, Computer Software Engineering, Master of Engineering, Computer Software Engineering at Carnegie Mellon University School of Computer Science
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at University of Mumbai
English, Marathi, Hindi