Open to opportunities

Naweed Aquib

@naweedaquib

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Software engineer focused on distributed backend systems, AWS observability, and secure event-driven pipelines.

India

Message

What I'm looking for

I’m looking to help teams ship reliable distributed backend systems on AWS—owning event-driven architectures, performance, security, and observability—while contributing to production ML/LLM (RAG) pipelines in a fast, collaborative environment.

I’m an engineer who builds production-grade distributed systems end to end—architecture, performance, security, and observability. In my Amazon SDE Internship (Remote / Gurgaon, India), I migrated high-throughput pipelines from Apache Storm to an internal streaming framework and modernized 10+ Java 17 production pipelines to reduce technical debt and improve reliability.

I also designed AWS CloudWatch observability infrastructure (custom dashboards, automated alerting, incident detection) to reduce mean time to recovery, integrated Weblab for safer A/B rollouts, and fixed production vulnerabilities in fraud detection pipelines through root-cause analysis and code-level remediation. Earlier, as an Associate Software Developer, I optimized REST APIs using indexing/caching to reduce P95 latency and built a secure MEAN-stack Document Management System with AES encryption and RBAC.

Experience

Work history, roles, and key accomplishments

Software Development Intern

Amazon

Jul 2025 - Dec 2025 (5 months)

Migrated high-throughput distributed data pipelines from Apache Storm to an internal streaming framework, redesigning event processing for large-scale AWS workloads. Modernized 10+ production pipelines to Java 17, built AWS CloudWatch observability (dashboards, automated alerts), and improved service health visibility through incident detection.

Apache Storm Event Driven Architecture AWS Cloudwatch Microservices A B Testing CI CD Root Cause Analysis

Associate Software Developer

Blucocoon Digital Private Limited

Jul 2021 - Dec 2022 (1 year 5 months)

Optimized backend REST APIs using indexing and caching strategies, reducing p95 latency to 120ms for data-intensive production workloads. Designed and deployed a secure document management system with AES encryption, RBAC, and scalable Node.js/Express backend services for enterprise clients.

REST APIs Performance Optimization Caching Indexing RBAC Backend Development MEAN stack SQL Query Optimization

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology, Lucknow

Master of Technology (M.Tech), Computer Science and Engineering

Grade: CPI: 7.3

Pursuing an M.Tech in Computer Science and Engineering. Coursework includes Distributed Systems, Advanced Algorithms, Operating Systems, Machine Learning, and NLP (CPI: 7.3).