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Milind YadavMY
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Milind Yadav

@milindyadav

Backend engineer at Intel who built observability tools correlating logs, metrics, traces, and host state.

India
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At Intel Corporation, I worked on an observability and AI tooling platform for Jenkins workloads across Kubernetes and bare-metal systems. Its MCP-based tools correlate build metadata, logs, metrics, traces, and host state to improve deep-issue investigation.

I also automated a release workflow, reducing manual release effort by 50%, and worked on an existing infrastructure-as-code codebase for AWS and Kubernetes resources.

At Arcesium, D. E. Shaw Group, I built Spring Batch pipelines processing more than 1 million financial transactions per day and automated data-quality checks that reduced client submission errors by 30%. Earlier, I migrated Tercept Technologies’ application stack from IBM Cloud to AWS, supporting twice the data volume at the same infrastructure cost.

Experience

Work history, roles, and key accomplishments

Arcesium, D. E. Shaw Group logoAG

Software Engineer

Jan 2022 - Mar 2024 (2 years 2 months)

Built and maintained Spring Batch pipelines processing over 1 million financial transactions daily with no data-loss incidents. Implemented performance calculations with Apache Spark and Delta Lake, and developed backend services for a fund-reporting platform.

TT

Software Engineer

Tercept Technologies

Feb 2021 - Dec 2021 (10 months)

Built nine external API integrations and Java ETL workflows, and migrated the application stack from IBM Cloud to AWS, supporting twice the data volume at the same cost. Resolved JVM heap exhaustion by optimizing CSV processing.

Education

Degrees, certifications, and relevant coursework

NPTEL logoNP

NPTEL

Advanced Distributed Systems, Distributed Systems

2025 -

Completed an advanced course on distributed systems covering replication, consistency models, consensus, Paxos, Raft, quorum systems, and distributed-storage internals.

National Institute of Technology, Kurukshetra logoNK

National Institute of Technology, Kurukshetra

Master of Technology, Computer Engineering

2018 - 2020

Grade: 7.54/10

Master of Technology in Computer Engineering with a CGPA of 7.54/10. Coursework included Distributed Systems, Deep Learning, Soft Computing, and GDPR.

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