Akhil Routhu

Software Engineer

Tempe, Arizona, United States1 yr 9 mos experience

Most Likely To Switch

Key Highlights

Expert in building cloud-native architectures with AWS.
Proficient in machine learning and deep learning frameworks.
Strong background in software development and CI/CD practices.

Stackforce AI infers this person is a Machine Learning and Cloud Software Engineer with expertise in SaaS solutions.

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Skills

Core Skills

AwsSoftware DevelopmentMachine LearningDeep LearningData Science

Other Skills

AWS LambdaSQLAPI GatewayAuroraCI/CDGenerative Adversarial Networks (GANs)PyTorchGANsWGAN-GPSVMFeed-Forward Neural NetworkGitHub workflowsPython (Programming Language)Data structuresAlgorithms

About

Software Engineer with strong experience across backend systems, machine learning, and cloud-native architectures. Currently working as an AWS Developer at LEAP Consultants, where I build production-grade cloud and web systems involving AWS Lambda, API Gateway, Aurora, CI/CD pipelines, and React-based frontend modules. I’ve also worked extensively on machine learning research and applied ML systems, including GAN-based image generation, MLOps pipelines, and data-driven prediction models. My technical strengths include Python, AWS, PyTorch, Kubernetes, CI/CD, and end-to-end ML workflows — from experimentation to deployment. I’m seeking full-time Software Engineer, Machine Learning Engineer, or Data Scientist roles starting May 2025 in the United States or Japan. Authorized to work in the US on F-1 OPT (STEM eligible). Actively learning Japanese and comfortable working in English-speaking engineering teams. Always happy to connect, collaborate, or discuss impactful engineering and ML work.

Experience

1 yr 9 mos

Total Experience

9 mos

Average Tenure

10 mos

Current Experience

Mindspark

AWS Developer

Aug 2025 – Present · 10 mos · Mesa, AZ · Remote

Built production-grade cloud and web systems across frontend and backend for dynamic project creation and automated workflows.
Developed React-based student-facing modules integrated with AWS APIs for real-time edits, secure task handling, and UI automation.
Designed and deployed backend services using AWS Lambda, API Gateway, and Aurora to ensure data integrity and scalable workflows.
Improved reliability and deployment velocity using CI/CD pipelines, Infrastructure as Code (CloudFormation/Terraform), and event-driven monitoring.

AWS LambdaSQLAWSSoftware Development

Arizona state university

Graduate Assistant

Oct 2024 – May 2025 · 7 mos · Tempe, Arizona, United States · On-site

Oversaw and graded industry-sponsored software and ML projects, ensuring technical quality, timely feedback, and academic rigor.
Mentored 50+ graduate students on ML, NLP, chatbot, and web development projects, improving delivery timelines and project outcomes.

Indian institute of science (iisc)

Machine Learning Researcher

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Developed DisCo-GAN, a novel GAN architecture using discrete cosine transform (DCT) for efficient image generation.
Designed low-dimensional DCT-based latent representations, reducing computational cost while maintaining image quality.
Improved training stability using WGAN-GP and fine-tuned hyperparameters to mitigate mode collapse.
Evaluated performance on MNIST and LFW using FID scores; implemented scalable multi-GPU training in PyTorch.

Deep LearningGenerative Adversarial Networks (GANs)Machine Learning

National institute of technology calicut

Researcher

Jun 2022 – Dec 2022 · 6 mos · Kozhikode, Kerala, India · On-site

Built SVM and Feed-Forward Neural Network models for fruit maturity prediction on imbalanced datasets.
Applied SMOTE to address class imbalance, achieving 91.6% accuracy (2-class) and 84.9% accuracy (3-class).
Conducted comparative evaluation across models to identify optimal performance trade-offs.

Data Science

Succeedo

Software Engineer

Jan 2022 – Dec 2022 · 11 mos · Vijayawada · Hybrid

Developed and maintained platform sidebar interfaces supporting interactive user workflows.
Implemented frontend features and coordinated backend integrations to deliver new application functionality.
Managed feature development using GitHub workflows including pull requests, version control, and collaborative code reviews.

Software Development