Summary
Nitish Joshi is a pragmatic software engineer with about a year of professional experience building scalable, low-latency systems and AI-driven pipelines. Trained at IIT Bombay (MTech) and with a background across Honeywell, Zingg.AI, Mercor and now E3 Group, he has shipped search and identity-resolution engines, distributed ML-powered matching systems, and real-time voice agents that integrate STT, LLMs and TTS. He focuses on backend scalability—async and streaming architectures, GPU-accelerated inference and kernel-level optimizations—while collaborating closely with CTO-level stakeholders to drive architecture and cross-team execution. Comfortable across Java, Python, Spark, Kafka and cloud platforms, he blends production engineering with applied ML evaluation to solve messy data-matching and conversational AI problems. A detail that sets him apart: he pairs system-level performance tuning (CUDA and inference optimization) with product-facing features like real-time conversational pipelines, bridging research ideas to deployable services.
1 year of coding experience
5 years of employment as a software developer
Indian Institute of Technology Bombay
Bachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at BIET Jhansi