Arjun R Nair
arjunnai@scs.cmu.edu | linkedin.com/arjunnair2k18

Professional Summary

Currently pursuing an Masters in Software Engineering at Carnegie Mellon University’s School of Computer Science, I am a results-driven software engineer with extensive experience at Yahoo in cloud infrastructure and production engineering. I specialize in architecting secure, scalable systems on AWS and GCP, leading complex data migrations, and building high-performance real-time applications. I am passionate about leveraging Terraform, Kubernetes, and big-data streaming to optimize system reliability and performance.

Education

Carnegie Mellon University

Master of Science in Software Engineering | Expected Dec 2026
Pittsburgh, PA

Fall 2025 Coursework:

Govt. Model Engineering College

Bachelor of Engineering in Computer Science and Engineering | June 2022
Kochi, India

Coursework: Compiler Design, Computer Organization Architecture, Image Processing, Artificial Intelligence

Skills

Cloud Platforms & Services: AWS (ECS, IAM, S3, Timestream), Google Cloud Platform (GCP)
Containerization & Orchestration: Docker, Kubernetes
Big Data & Data Streaming: Apache Flink, Kafka, PySpark, Snowflake
Databases: PostgreSQL, MongoDB, SQL, Cassandra, Bigtable
Programming Languages: Python, Java, C++, C, SQL, R, Swift, Dart
Developer Tools: Terraform, Git, OpenTelemetry, Anaconda, Jupyter Notebook, VS Code, IntelliJ, Eclipse
Web & Mobile: Android Studio, Flutter, HTML/CSS, React

Research Interests

My research interests lie at the intersection of distributed systems, cloud infrastructure, and reliable software engineering. I am particularly drawn to problems that emerge from the complexities of modern distributed computing environments, where systems must maintain reliability, security, and performance at scale.

Core Research Areas:

Distributed Systems Reliability and Fault Tolerance
I am interested in developing adaptive mechanisms for handling slow faults and performance degradation in distributed systems. My work experience with large-scale cloud migrations has highlighted the critical need for systems that can automatically detect and respond to various failure modes beyond traditional binary failures.

Cloud-Native Software Engineering
I focus on engineering challenges unique to cloud environments, including container orchestration, microservices architecture, and the design of resilient distributed applications. My professional experience with Yahoo's cloud infrastructure has motivated my interest in developing better abstractions and tools for cloud-native software development.

Observability and System Performance
Drawing from my experience building monitoring solutions across multiple platforms, I am interested in advancing techniques for distributed system observability, particularly in developing adaptive monitoring frameworks that can provide meaningful insights while minimizing operational overhead.

Security in Distributed Systems
I am exploring security challenges that arise in distributed computing environments, including secure service communication, policy enforcement across distributed components, and privacy-preserving computation in cloud settings.

My current coursework in Distributed Systems (15-640) and Formal Methods (17-614) at CMU is providing me with the theoretical foundation to pursue these research directions. I am particularly interested in applying formal verification techniques to distributed system protocols and exploring how machine learning can improve system reliability and performance.

Professional Background

Production Engineer | Yahoo Software Development (July 2022 - July 2025)
Led enterprise-scale cloud infrastructure projects, including the complete migration of Yahoo! Shopping and Engadget to AWS ECS Fargate. Developed automated monitoring and observability solutions adopted across multiple Yahoo teams, reducing operational overhead and improving system reliability.

Software Development Intern | Yahoo Software Development (January 2022 - May 2022)
Contributed to database migration initiatives and developed proof-of-concept monitoring solutions that improved system observability while reducing operational costs.

Mobile Developer | SaveMo (June 2019 - February 2020)
Built cross-platform mobile applications using Flutter, focusing on data security and performance optimization for consumer-facing financial applications.

Data Engineer/Tutor | WinVinaya Foundation (January 2019 - March 2019)
Developed accessible learning technologies and data processing pipelines to support educational programs for students with disabilities, demonstrating commitment to inclusive technology design.

This professional experience has provided me with practical insights into the challenges of building and maintaining distributed systems at scale, which directly informs my academic research interests and provides real-world grounding for theoretical investigations.

Projects

Real Time Fraud Detection in Online Systems

• Architected a Kafka-Flink streaming pipeline to process 100M+ transactions with sub-200ms latency, achieving 99% accuracy and reducing false positives by 30% using Isolation Forest and LSTM autoencoders.

Chagiri Chain - Blockchain Marketplace for Farming

• Designed a private marketplace using a private Ethereum network (Geth), Web3.js, and Solidity smart contracts to improve supply chain transparency for farmers and consumers.

News Aggregation for Trading Algorithms

• Developed a sentiment analysis model using web scraping and NLP (VADER) to aggregate news and inform FinTech stock trading decisions.

Positions of Responsibility

Founder, Millennium Fellow - United Nations Academic Impact (Aug 2020)
• Founded "Fortitude", a mental health club, to advance the UN's Mental Health SDG. Developed a mobile app for students to access mental health resources.

Head of Marketing - MEC Conference (2018-2020)
• Secured sponsorships totaling 4 lakh INR over three years to host MUN conferences.

Head - International Award For Young People (IAYP) - Sri Kumaran Children's Home (Jan 2018)
• Facilitated the integration of the IAYP at school, mentoring students to earn their IAYP medals.

Recognitions & Courses

Recognitions

• 1st Place, Fintech Track at the MIT India Initiative (MIT-Harvard), Mumbai
• Runner-Up, Make-a-ton 2.0 for project "MediSure"
• Selected for the prestigious NASA Leadership Academy
• Earned DELF A2 certification in French proficiency
• Awarded Grade 6 Keyboard Certification from Trinity Guildhall London

Online Courses

• Advanced Architecting on AWS, AWS
• The Data Scientist's Toolbox, Johns Hopkins University
• TensorFlow in Practice Specialization, Deeplearning.ai
• Financial Markets, Yale University