Vinit Chauhan is a Software Engineer II and Certified Elasticsearch Engineer with a Master’s in Applied Computing and four years of hands‑on experience building high-performance, distributed systems using Go and Python. He has designed and tuned Elasticsearch clusters, engineered scalable PDF/OCR ingestion pipelines, and built monitoring and CI/CD tooling that measurably reduced detection and operational latency. His background spans security-focused data ingestion for SIEM/XDR platforms, Kafka consumers, and infrastructure-as-code with Terraform, Docker, and Kubernetes, and he’s currently applying that expertise at Elastic. Vinit combines deep search and observability knowledge with a knack for improving developer experience and productionizing AI prototypes—demonstrated by a GenAI security integration prototype and a checkpointed ingest platform using Tika and Tesseract. Notably, he has led cross-location teams and delivered integrations for major security vendors, revealing a blend of technical depth and client-facing delivery experience.
4 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering, Computer Engineering, 9.11/10 CGPA, Bachelor of Engineering, Computer Engineering, 9.11/10 CGPA at A D Patel Institute of Technology, CVM University
Master's degree, Master of Applied Computing, 83.67%, Master's degree, Master of Applied Computing, 83.67% at University of Windsor
Contributions:43 pushes, 6 branches in 1 year 6 months
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