Arohan Ajit

Software Engineer

Seattle, Washington, United States3 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in distributed systems and cloud computing.
Proven track record in optimizing data storage solutions.
Strong experience in full-stack development and compliance.

Stackforce AI infers this person is a Cloud Computing and Data Engineering specialist with a focus on scalable software solutions.

Contact

arohan.ajit@outlook.com LinkedIn

Skills

Core Skills

Distributed SystemsCloud ComputingData PipelinesPythonAi SolutionsGeospatial DataSoftware DevelopmentBackend DevelopmentCloud DeploymentFull-stack Development

Other Skills

API DevelopmentAWSAmazon Web Services (AWS)BERT (Language Model)Back-End Web DevelopmentBackpropagationBootstrap (Framework)CC (Programming Language)C++Cascading Style Sheets (CSS)ClamAVComputer VisionComputerized System Validation (CSV)Convolutional Neural Networks (CNN)

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.

Experience

3 yrs

Total Experience

1 yr 2 mos

Average Tenure

8 mos

Current Experience

Google

Software Engineer

Oct 2025 – Present · 8 mos · Seattle, WA · On-site

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.

Distributed SystemsCloud ComputingSoftware DesignPythonData PipelinesKubernetes

Yahoo

Software Engineer

Jun 2025 – Sep 2025 · 3 mos · Mountain View, California, United States · Remote

Tech Stack: Python, Tensorflow, JAVA Rest APIs
Worked with Mail Intelligence team to identify and implement end to end Agentic AI solutions and workflows

PythonTensorFlowJava REST APIsAI Solutions

North carolina state university

Software Developer

Sep 2024 – May 2025 · 8 mos · Raleigh, North Carolina, United States · On-site

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

Quantization AlgorithmsGeospatial DataGRASS GISSoftware Development

Chirpn it solutions

Software Development Intern

Jun 2024 – Oct 2024 · 4 mos · San Jose, California, United States · On-site

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%

Node.jsExpressAWSDockerKubernetesBackend Development+1

Accenture

2 roles

Software Development Associate

Nov 2021 – Jul 2023 · 1 yr 8 mos · 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