Om Mahajan

Hello, I'm

Om Mahajan

Software Engineer & Graduate Student

Building scalable AI-powered solutions with modern technologies

About Me

Building robust systems and scalable infrastructure

Background

I'm a passionate software engineer and graduate student at Carnegie Mellon University with 4 years of professional experience building scalable web applications, cloud-native solutions, and AI-powered systems. My journey in technology began with a curiosity about how things work, which led me to pursue Computer Science and eventually specialize in distributed systems and full-stack development.

Technical Skills

Machine learning and AI applications
Cloud architecture and DevOps
Distributed systems and microservices
Web performance optimization
Autonomous vehicle safety systems
Developer experience and tooling

Values

Quality over quantity in code and solutions
Continuous learning and professional growth
Collaboration and knowledge sharing
User-centered design and development
Transparency and open communication

Technology Stack

Machine learning and AI applications
Cloud architecture and DevOps
Distributed systems and microservices
Web performance optimization
Autonomous vehicle safety systems
Developer experience and tooling

Experience

Professional journey and key contributions

Software Engineer Intern

AriesView

2025-06-01 - 2025-08-31

Boston, MA

Designed scalable containerized microservice architectures for AriesView's AI-powered lease abstraction pipeline enabling modular deployment and fault-tolerant processing. Engineered backend APIs and routing logic for AI inference workflows with secure access control and optimized responses achieving sub-250ms latency. Developed internal load-testing and behavior-simulation tools resulting in 30% improvement in document ingestion throughput.

Key Achievements:

  • Designed scalable containerized microservice architectures supporting 10,000+ documents/day and 500+ concurrent users
  • Engineered backend APIs with secure access control achieving simulated latency under 250ms for real-time lease parsing
  • Developed internal load-testing tools resulting in 30% improvement in document ingestion and analytics pipeline throughput
DockerKubernetesMicroservicesAI/MLPythonCloud Architecture

Lead Software Developer

Thought River EduTech

2024-01-01 - 2024-07-31

Pune, India

Architected and deployed a Kubernetes-based backend infrastructure serving 50,000+ peak concurrent user sessions, boosting reliability and reducing infrastructure costs by 15%. Managed client engagement to gather requirements and crafted detailed Agile roadmaps enabling timely delivery. Improved DevOps pipelines to support nightly automated builds, reducing deployment time by 25%.

Key Achievements:

  • Architected and deployed Kubernetes-based backend infrastructure serving 50,000+ peak concurrent user sessions
  • Boosted reliability and reduced infrastructure costs by 15% while enabling seamless horizontal scaling
  • Managed client engagement to gather requirements and crafted detailed Agile roadmaps enabling timely delivery
  • Improved DevOps pipelines to support nightly automated builds, reducing deployment time by 25%
KubernetesDockerDevOpsInfrastructureAgileProject Management

Software Developer

Thought River EduTech

2021-10-01 - 2023-12-31

Pune, India

Deployed infrastructure on bare-metal Linux server with NGINX reverse proxy ensuring high scalability and availability. Built and optimized RESTful APIs, integrating with external services and achieving 20% faster response time. Developed responsive and accessible ReactJS front-end applications incorporating user-centric UX best practices while collaborating across teams to deliver features on schedule.

Key Achievements:

  • Deployed infrastructure on bare-metal Linux server with NGINX reverse proxy ensuring high scalability and availability
  • Built and optimized RESTful APIs, integrating with external services and achieving 20% faster response time
  • Developed responsive and accessible ReactJS front-end application incorporating user-centric UX best practices
  • Collaborated across teams to deliver features on schedule while maintaining high-quality code through best practices
LinuxNGINXRESTful APIsReactJSJavaScriptNode.jsInfrastructure

Projects

Selected works and technical implementations

TIER IV – Anomaly Detection and Signal Flagging for AV Safety

CMU Capstone project designing an anomaly detection pipeline for synthetic Autoware driving data, defining quantitative signals to identify edge-case traits in autonomous driving simulations.

PythonC++ROS 2JSON+3

Cloud-Native Twitter Analytics Platform

Distributed microservices-based web application on AWS, deploying Blockchain, QR Code, and Twitter analytics services on a self-managed Kubernetes cluster with Helm and Terraform.

AWSKubernetesHelmTerraform+5

Real-Time Stream Processing System for Ride-Matching

Kafka and Samza-based stream processing system for driver and ad matching algorithm, improving throughput and reducing latency within budgetary constraints.

Apache KafkaApache SamzaStream ProcessingGCP+2

Portfolio Website

A modern, API-driven portfolio website built with Next.js 15 and Express.js. Features dark/light mode, real-time API request visualization, and responsive design.

Next.jsTypeScriptTailwind CSSExpress.js+1

Education

Academic background and qualifications

Master of Information Systems Management

Carnegie Mellon University

Pittsburgh, PA

Graduate program focusing on advanced information systems, cloud computing, and distributed systems. Currently serving as Teaching Assistant for Linux and Open Source courses.

2024-08-01 - 2025-12-31

  • Teaching Assistant: Linux and Open Source (Fall 24, Spring 25)
  • Teaching Assistant: Object Oriented Analysis and Design (Spring 25)
  • Currently pursuing capstone project on Anomaly Detection for AV Safety

Bachelor of Computer Engineering with Honors in Artificial Intelligence and Machine Learning

Savitribai Phule Pune University

Pune, India

Undergraduate program with honors specialization in Artificial Intelligence and Machine Learning. Comprehensive curriculum covering computer engineering fundamentals with advanced focus on AI/ML technologies.

2019-08-01 - 2023-07-31

GPA: First-Class Distinction

  • First-Class Distinction
  • Honors in Artificial Intelligence and Machine Learning
  • Strong foundation in computer engineering principles

Get in Touch

Let's connect and build something amazing together

Open to opportunities in backend development, DevOps, and cloud infrastructure.