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Mithesh14/README.md
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About

SDE-I at CommerceIQ — building data pipelines and recommendation systems that process retail analytics at scale.

  • Shipped a full Recommendations Module from 0→1 for enterprise clients (SharkNinja, Nestlé Purina, Coca-Cola, Heyday)
  • Cut an 8-hour PySpark pipeline to 4 hours across production workloads on Databricks
  • Migrated 20 AWS RDS instances (Aurora + PostgreSQL) across Beta, QA, and Production
  • Delivered $47K+ in annual infrastructure savings via S3 lifecycle policies, RDS right-sizing, and Aurora migration
  • Published at IEEE ICACCS 2022 — Intelligent Load Balancing in SDN
  • B.E. Computer Science, Madras Institute of Technology — GPA 8.94/10

Outside work: composing music, obsessing over cricket, and maintaining ambitions that may require an arc reactor.

📍  Chennai, India
🏢  SDE-I · CommerceIQ · Retail Analytics SaaS
🟢  Open to backend engineering roles
⚡  $47K+ infra savings · 8 hrs → 4 hrs pipeline speedup
🎵  Music composer  ·  🏏 Cricket  ·  🦾 Aspiring Iron Man

Tech Stack

Languages

Java Python SQL

Backend & APIs

Spring Boot Microservices REST

Data & Cloud

Databricks PySpark AWS S3 AWS RDS Aurora

Databases

MySQL PostgreSQL Elasticsearch

Tooling

Git Linux PagerDuty Bitbucket

GitHub Stats

The arc reactor ambition is real. The rest is engineering.

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