Open to opportunities

Shivaram Emmidi

@shivaramemmidi

Message

I am an innovative software engineer specializing in scalable full-stack, cloud-native systems.

United States

Message

What I'm looking for

I seek roles building scalable full-stack and cloud-native ML systems with automation, low-latency APIs, collaborative Agile teams, mentoring opportunities, and measurable product impact; open to relocation.

I am a software engineer focused on designing and scaling full-stack and cloud-native systems across AI, logistics, and decentralized applications.

I have engineered production NLP systems and microservices that sustain high traffic and low latency — including an NLP chatbot handling 10K+ monthly queries at 92% accuracy and platform work that reduced latency and deployment cycles significantly.

I built decentralized healthcare and blockchain solutions using React Native, Ethereum, IPFS, ZKPs, and NFT-based record systems to ensure privacy-preserving, auditable data flows for thousands of users.

I work well in Agile teams, mentor peers, and automate CI/CD and MLOps pipelines to drive reliability and speed; I hold a Master of Science in Computer Science and pursue roles that deliver customer-focused, scalable solutions.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

GeExpress Logistics

May 2021 - Jul 2021 (2 months)

Built logistics tracking tools that improved shipment visibility across 4+ regional hubs and reduced delivery delays by 22%. Delivered 12+ microservices sustaining 1M+ API calls/day at 99.98% availability and cut API response times from 200ms to 80ms.

Python Microservices SQL Caching Load Balancing Monitoring CI CD

Education

Degrees, certifications, and relevant coursework

Western Michigan University

Master of Science, Computer Science

2023 - 2025

Grade: 3.7/4.0

Activities and societies: Coursework: Machine Learning; Artificial Intelligence; Big Data Analysis; Algorithms; Object-Oriented Programming; Data Structures.

Master of Science in Computer Science with a 3.7/4.0 GPA, emphasizing machine learning, AI, big data analysis, algorithms, and data structures; completed August 2025.