Senior Backend Engineer

Akshay Borse

425-***-**** ********@*****.*** LinkedIn GitHub

HackerRank Medium Substack X

PROFESSIONAL SUMMARY

Senior Backend Engineer with 5+ years of experience designing scalable, cloud-native systems using Java, Python, and AWS. Delivered high-impact order optimization services that enhanced customer experience and reduced operational costs by 25%. Known for blending technical depth with creative problem-solving to build resilient systems that scale. Passionate about advancing innovation in the AI era—and committed to sharing insights on creativity and human potential through my blog.

EXPERIENCE

Senior Software Engineer Amazon Seattle, WA Aug-2019 - Present

(Java, Python, Rest, Docker, ECS, Dynamo, S3, Lambda, Aurora, Step Function, App Mesh, Redis, Kibana, Elasticsearch, Kinesis, CloudWatch, SageMaker, Bedrock, Anthropic’s LLM, Prompt Engineering)

• Designed and implemented REST Service Creation tool – reducing service creation and launch time by 8–10 weeks. Saving the team about 40-50 weeks of overall effort for more than 15 different services. Leveraged custom DSL and CDK.

• Spearheaded Docker container optimizations, achieving a remarkable 54.7% reduction in build time and an 83% reduction in image size.

• Drove the development of a self-service UI tool for automated Rest service creation, dramatically reducing provisioning time from 2 weeks to under an hour improving the team's velocity and time-to-market capabilities.

• Led an initiative to optimize metrics, standardizing log format, and eliminate redundant code, leading to $250K IMR improvement in CloudWatch savings.

• Improved GCCP by 11% by expanding system’s features in EU for FBA orders and improving customer experience and optimizing fulfillment.

• Enhanced the CDK Library for Multi-Service Deployment in a single pipeline, optimizing maintenance for a microservices architecture with 60+ services. Reduced the service count by 9, with plans in place to further streamline and drive operational excellence.

• Built a Restock Alerting Service to notify customers when out-of-stock items were restocked increasing sales by 13% for cancelled ASIN’s.

• Implemented the Just-In-Stock service completely on native AWS infrastructure to monitor real-time inventory changes and auto-optimize order fulfillment, increasing early delivery rate by 16% and improving supply chain agility.

• Designed and implemented a UI and backend service for modifying delivery dates, reducing external request turnaround time from 2-3 hours to 0 through a self-service tool, while mentoring an intern.

• Created a Timer Service by introducing a wrapper over AWS Step Functions as a powerful stateless service for replaying events up to 1 year.

• Transformed a monolithic orchestration service into scalable AWS-native microservices, enabling orchestration of requests across 15 services

• Designed an API for log level adjustment in production, enabling on-the-fly debugging without deployments and reducing issue resolution time by 1+ hour per incident, especially in complex services.

• Built an internal UI tool for decision service simulation, allowing stakeholders to visualize service behavior for incoming orders, improving design accuracy, reducing operational overhead, & empowering managers with self-serve insights, cutting deep dive time from hours to zero.

• Designed a new service and deployed a Retrieval-Augmented Generation (RAG) pipeline on AWS to fetch real-time inventory data and enhance delivery promise predictions for out-of-stock ASINs—boosting global sales by 23% through improved availability forecasting.

• Redesigned 37 email templates by integrating Amazon Bedrock with Anthropic’s LLM, using prompt engineering to dynamically personalize content—enhancing customer experience and reinforcing brand consistency across services.

• Orchestrated system readiness by performing stress test and load test for 90 different services during high-demand events, Prime Day & Black Friday, ensuring optimal performance & scalability.

• Demonstrated a strong commitment to code quality and knowledge sharing by consistently contributing to code reviews, achieving the highest number of contributions on the team, almost double that of the next highest contributor.

• Designed & implemented a cloud-native order optimization system using Java, Docker, and AWS Lambda, reducing processing time by 30%.

• Automated infrastructure deployment with ECS and Step Functions, increasing team velocity by 15%.

• Integrated DynamoDB and Aurora for high-performance data handling, supporting 10M+ daily transactions. Software Engineer Liquiron San Jose, CA Dec-2018 to Jan-2019

(OAuth 2.0, Passport.js, Rest API, Vue.js, Google Firebase, Node.js, Mocha & Chai, Jest, Serverless Hosting, Stateless Backend)

• Streamlined backend authentication architecture using OAuth 2.0 and Passport.js, improving code modularity, security, and maintainability.

• Migrated 2 backend services to Google Firebase, enabling serverless deployment, secure token management, and eliminating local server dependencies.

• Designed 4 Rest APIs to support 10 front-end features in a SPA environment, optimizing request handling and reducing server load by 36%. Software Engineer Persistent Systems Pune, India Sept-2016 to Jul-2017

(CNN, AWS EC2, REST, NodeJS, JavaScript, Python, Axios, Quasar)

• Developed a real-time CNN classifier to classify videos and images by 7 sentiments, with 87% accuracy and efficient sentiment analysis.

• Streamlined website into a single-page application, boosting response time by 25% and simplifying testing and maintenance.

• Cached Fonts, JS, CSS, images using Google workbox thus improving the server response by 9% under unreliable networks.

• Improved a feedback system for reporting bugs & defects in new interface functionality, which was adopted by 6 teams across the organization. Software Developer Soft Corner Pune, India Jun-2015 to Jun-2016

(C, File System, Sonarqube)

• Enhanced F2FS file system performance by modifying cleaning policies, achieving a 15% improvement in garbage collection efficiency through cost-benefit and greedy optimizations.

• Leveraged Sonarqube for 60+ packages, detecting & fixing bugs, & ensuring standard code quality through automated inspections. EDUCATION

• Santa Clara University, Santa Clara, CA Master’s in Computer Science and Engineering. Sep - 2017 to Jun-2019 GPA - 3.77

• Pune Institute of Computer Technology (PICT), India Bachelor’s in Computer Science and Engineering. Jun - 2012 to Jun-2016 GPA - 3.34 PROJECTS - https://github.com/amsborse

• Hero Recommendation System for DotA 2 - Used 50,000 matches for training and 10,000 for testing. Used DotA-2 API to extract the data.

• Natural Language to SQL Query Generator - Independent of database schema. Accuracy 85% out of 10K test set.

• Face & Motion Recognition - PCA with L2-norm maximization, Face Accuracy – 99%. Edge detection, Keras CNN, Motion Accuracy - 77%. PUBLICATIONS

• ‘Survey of Cleaning Policies in Log-Structured File Systems’, International Journal of Trend in Research and Development. ACHIEVEMENT

• Launched a blog exploring creativity, thought design, & systems thinking—empowering readers to navigate the AI age with originality & depth.

• Received Just Do It Award for developing an Automated Service Creation tool that deploys micro services on AWS ECS Fargate within an hour.

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