Shreyas Mante

About Shreyas Mante

A Software Engineer with 3+ years of experience building scalable systems, specializing in Java, Spring Boot, and microservices with a strong focus on performance, maintainability, and developer experience. Possesses a solid understanding of Data Structures & Algorithms and Object-Oriented concepts (C++, Java), with a passion for coding, problem-solving, and exploring algorithmic and computational mathematics challenges. Experienced in designing and delivering robust, end-to-end backend solutions.I am an Backend Developer who is experienced in following : 1. Languages : C++, Java2. Framework : Spring Boot 3. Database : MySQL4. Messaging Queue : Kafka5. Version Control : Git6. Data Structures, Algorithms7. System Design (LLD, HLD)Some of my Competitive Platforms -1. Codeforces - im__back2. Codechef - im_back3. HackerRank - im_sorry4. HackerEarth - im_backLanguage for Problem Solving : C++ 11/14/17 (Intermediate), Java

Experience

1. Sde - 2

   Oracle

   Jun 2024 — Present · Bengaluru, IN

   Designed and developed the ODIE (Oracle Data Center Infrastructure Equipment) platform, directly enabling the rapid build-out of new data centers to meet the growing demand for AI infrastructure. This strategic initiative replaced legacy systems, dramatically accelerating the supply chain\'s ability to procure and deploy AI-specific hardware.• Implemented core Supply Chain Operations (SCO) workflows integrated with Fusion, enabling the automated processing of over $10 billion in annual orders for high-value AI compute equipment (e.g, GPUs, specialized servers), a critical capability for scaling AI operations.• Built robust inventory management and asset tracking modules that provide real-time visibility of AI hardware across global data centers, reducing inventory discrepancies by 25% and ensuring the availability of critical components for ongoing AI cluster expansion.• Integrated ODIE with Mercury, the SCO order processing platform, enabling seamless transfer of demand forecasts and reducing order processing time from 25 days to 2 hours.• Automated end-to-end order-to-deployment workflows for AI-specific server racks, cutting processing time by 60% and minimizing human intervention to eliminate bottlenecks in high-volume, rapid AI infrastructure deployments.• Implemented real-time alerting in Grafana for ODIE by integrating Prometheus metrics (order failures, API latency, inventory sync delays) with Slack & Email notifications, enabling proactive incident response and reducing MTTR by 40%.

Education

• Government Polytechnic Pune

  Diploma in Computer Engineering

  2016 — 2019

• Pune Institute of Computer Technology

  BE Computer Engineering

  2019 — 2022

• Podar International School

  Junior High/Intermediate/Middle School Education and Teaching

  2011 — 2015