Arohan Ajit
Software Engineer @ Google
About
As a Software Engineer at Google, I apply my expertise in distributed systems, cloud computing, and software design to contribute to innovative projects. With a Master of Science in Computer Science from North Carolina State University, my academic background complements my professional experience in delivering impactful technical solutions. Previously, I contributed to optimizing raster data storage efficiency as a Software Developer at North Carolina State University, focusing on quantization algorithms to reduce cloud storage costs for large-scale geospatial datasets. Motivated by a passion for scalable and efficient software solutions, I aim to foster impactful contributions in the technology space.
United States
Greater Seattle Area
Computer Software
Distributed Systems, Cloud Computing, Software Design, Consul, Gin, JWT, TypeScript, Tailwind CSS, Prisma ORM, AWS Lambda, ClamAV, Prometheus.io, Microservices, Go (Programming Language), Hashing, System Design, BERT (Language Model), REST APIs, Database Optimization, Kubernetes
Experience

Software Engineer
Seattle, WA
Working as SWE with Google Cloud Storage team - Designed and implemented novel metrics and automated systems for large-scale infrastructure capacity planning, enhancing disaster readiness and enabling proactive resource management. - Engineered and deployed robust, automated data pipelines using Python to process and analyze large datasets, creating dashboards to visualize key system reliability and capacity metrics for engineering teams. - Improved software quality and maintainability by refactoring complex, experimental scripts into modular, production-ready libraries with comprehensive testing, adhering to high coding standards. - Contributed to operational excellence and system reliability through participation in on-call rotations, root cause analysis of production issues, and contributions to technical design reviews. - Collaborated effectively in an agile, cross-functional environment on complex projects, contributing to project execution, milestone tracking, and integration of new components into large-scale workflows.

Software Developer
Raleigh, North Carolina, United States
Improving raster data storage efficiency by 25% using quantization algorithms, reducing cloud storage costs for large-scale datasets on one of the major open source geospatial analysis software GRASS

Software Development Intern
San Jose, California, United States
Engineered and optimized critical API endpoints using Node.js and Express, improving data processing efficiency by 25% and reducing server response times by 30% • Integrated advanced AI models (OpenAI, Cohere) into the backend, boosting document processing and analysis efficiency by 50% • Augmented vector database capabilities by incorporating providers like LanceDB, enhancing data retrieval efficiency by 30% • Architected cloud deployment strategies using AWS, GCP, and DigitalOcean, enabling scalable and secure multi-environment deployments • Containerized the application using Docker and configured Kubernetes clusters, reducing deployment time by 30% and achieving a 20% increase in resource efficiency • Developed and maintained CI/CD pipelines using GitHub Actions and Jenkins, automating build, test, and deployment processes with a 40% reduction in manual effort • Implemented secure environment configurations and IAM roles while introducing resource tagging and cost management practices, reducing infrastructure costs by 15%

Software Development Associate
India
Built Django/React applications serving 10k+ monthly users, achieving 99.9% uptime through load balancing and health monitoring} Optimized query performance by 15% through implementing database indexing and Django ORM query optimization using django-debug-toolbar Developed RESTful APIs using Django REST framework with JWT authentication and rate limiting Collaborated within a team environment using Git for version control, contributing to development lifecycle of a large-scale financial system Led comprehensive risk and compliance evaluations using ISO 27001, SWIFT, and GDPR frameworks with structured methodologies, resulting in zero security incidents and 100% audit compliance • Served as national liaison for compliance requirements across 50+ countries for global financial client, resulting in standardized controls implementation and consistent regulatory adherence • Managed security controls for hybrid cloud infrastructure spanning 300+ technical resources using automated compliance tools, resulting in complete adherence to all monthly, quarterly, and annual compliance requirements • Performed regular risk assessments across 150+ controls in 4 domains (HR, IT, Physical Security, Legal) using standardized methodologies, resulting in identification and remediation of 30+ potential security gaps • Implemented secure design principles throughout the development lifecycle using OWASP guidelines and security best practices, resulting in 98% reduction in high-risk vulnerabilities • Prepared comprehensive compliance documentation using standardized templates and evidence collection procedures, resulting in successful certification maintenance and regulatory compliance
Education

Computer Science
Courses: - Design and Analysis of Algorithms - Software Engineering - Cloud Computing and Architecture - Network Security - Software Security - Neural Networks and Deep Learning - Computer Networks - Human Computer Interaction - Database and Management Systems
Arohan Ajit's Contact Information
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