
Pritesh Jadhav
@priteshjadhav
I build scalable infrastructure, distributed systems, and AI products handling petabytes and millions of daily operations.
What I'm looking for
At Egnyte, I build infrastructure and AI products that run at petabyte scale and support millions of daily operations. I architected Content Extraction Manager, a centralized service that unifies extraction systems with millisecond latency, and I’m leading a move from legacy OCR infrastructure to an in-house Vision Language Model solution projected to save 50–80%.
I’ve reduced annual storage costs by $100K through data cleanup and optimization, helped migrate infrastructure to GCP and Azure with zero downtime, and built systems spanning RAG, contract analysis, observability, fair-share scheduling, autoscaling, and distributed storage. I enjoy turning difficult infrastructure problems into reliable, cost-conscious platforms that improve customer experiences.
Experience
Work history, roles, and key accomplishments
Architected Content Extraction Manager (CEM) consolidating extraction systems into a unified infrastructure handling millions of daily extractions. Leading cost reduction initiatives and implementing KEDA-based autoscaling for infrastructure optimization.
Contributed to Every Object as Chunk redesign enabling delta sync, reducing backup uploads and cutting costs. Implemented encryption-at-rest, decomposed monolith into microservices, and built ML pipeline for customer churn identification.
Contributed to Egnyte Object Store (EOS), a multi-tenant, multi-cloud storage platform handling petabytes of data. Built observability infrastructure and optimized download latencies through improved caching strategies.
Education
Degrees, certifications, and relevant coursework
Savitribai Phule Pune University
Bachelor of Engineering, Computer Science
2015 - 2019
Bachelor of Engineering in Computer Science from Savitribai Phule Pune University, completed in 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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