Sashank RM

518-***-**** # ad3ozj@r.postjobfree.com ï linkedin.com/sashankrm § github.com/sash7410

Education

New York University September 2023 - May 2025

Master of Science in Computer Science (GPA: 3.56 / 4.00) — merit-based scholarship recipient New York, USA

• Relevant Coursework: Design and Analysis of Algorithms, Software Engineering, Cloud Computing, Open Source. Visvesvaraya Technological University August 2017 - June 2021 Bachelor of Engineering in Information Science (GPA: 3.84 / 4.00) — First Class with Distinction Bangalore, India

• Relevant Coursework: Data Structures, Big Data, Operating Systems, Database Systems, Linux internals, Java, OOAD Technical Skills

Programming Languages: Java, Python, JavaScript, C++, GO, SQL Web Development: Angular.JS, Node.JS, React.JS, Bootstrap, Spring Boot, Django. Technologies: Amazon Web Services, Google Cloud Platform, Kubernetes, Docker, MySQL, MongoDB, AWS S3, EC2, Lambda, SES, SQS, SNS, Athena, Redis, Kafka, Maven, Git, Jira, Flow, Travis, Pivotal Cloud Foundry, DataDog, JUnit, PyTest Experience

Flipkart Feb 2023 – August 2023

Software Engineer Bangalore, India

• Managed 30+ microservices for Flipkart’s Incident Management Services, significantly improving the post-order experience for 10 million+ customers by halving incident resolution time.

• Launched an automated deployment system that slashed production lead time by 70% and boosted deployment frequency by 40%, through the integration of DevOps and Agile methodologies.

• Orchestrated a cross-functional initiative that empowered support staff to autonomously create workflows, resulting in $1 million annual savings and demonstrating process innovation. Smarsh Jan 2021 – Jan 2023

Software Engineer R&D Bangalore, India

• Orchestrated the zero-loss migration of 7 petabytes of data for clients like JP Morgan and Bank of New York, achieving 100% data integrity, by utilizing AWS technologies (Lambda, Athena, S3) and microservices architecture for sophisticated data transfer processes.

• Dramatically reduced reconciliation process time by 83%, from 3 months to 2 weeks, by automating workflows that processed around 100,000 events every hour, fired Athena queries, and utilized Python, Pandas for data manipulation, with Concourse for CI/CD, and Datadog for monitoring, significantly enhancing operational efficiency and enabling timely reporting.

• Drove the design and deployment of 2 applications from scratch across six environments, achieving a lead time to production under 2 hours, by optimizing development and CI/CD processes facilitating swift market entry.

• Spearheaded the migration from a monolithic architecture to microservices significantly enhancing performance by 35system scalability. Upgraded from Java 8 to Java 11, optimizing system efficiency and future-proofing our technology stack.

• Implemented a Spring Batch retry job for reprocessing 100,000+ daily failures, increasing migration speed by over 50%, showcasing problem-solving innovation

Projects

Eat-Texas § Lex, S3, Python, NodeJs, Elasticsearch, DynamoDB, PostgreSQL, Lambda, SQS, SES, SageMaker, Rekognition, Cognito.

• Innovation in User Experience: Pioneered a photo-based food delivery app, integrating Amazon SageMaker for machine learning-driven custom dish recommendations, significantly enhancing personalization.

• AWS Backend Development: Architected a fault-tolerant, serverless infrastructure using AWS Cognito, DynamoDB, RDS, and Lambda. Ensured seamless scalability and security, aligning with Amazon’s best practices.

• Process Optimization with AI: Engineered a conversational AI chatbot powered by AWS Lex, optimizing order fulfillment. Designed an advanced order tracking system enabling real-time tracking of delivery personnel and providing accurate ETA updates, further enhancing operational efficiency and customer satisfaction. Medilink § Python, Django, MongoDB, JavaScript, HTML, CSS, Git, PyTest, AWS, Elasticsearch, S3, Elastic Beanstalk, Travis.

• Project Leadership and Technology Stack: Led development of a New York-centric healthcare platform using Python, Django, and JavaScript. Implemented real-time chat with WebSockets and managed complex data with PostgreSQL.

• Deployment and Automation: Handled deployment on AWS, utilizing S3 and Elastic Beanstalk for efficiency. Implemented CI/CD with Travis, streamlining updates and reducing errors.

• User Experience Enhancement: Added user-friendly features like location services and easy consultation bookings, enhancing usability.

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