Ameet Vishwakarma
Backend Architecture & Distributed Systems | Azure | Java, SpringBoot & Python | GenAI
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Education & Certs
Technical Expertise
Languages & Frameworks
Cloud & DevOps
Applied GenAI
Architecture
Professional Experience
Senior System Software Engineer
April 2024 - Present- Designed and delivered microservices powering the Nemours mobile platform, reducing API response times by 50% while increasing concurrent user capacity by 300%.
- Help define Azure platform standards covering networking, identity (Entra ID), monitoring, and deployment patterns used across multiple engineering teams.
- Led the migration from QlikSense to Azure Monitor and Grafana, reducing production troubleshooting time by approximately 30% through improved observability.
- Designed and implemented AI-powered solutions, including an internal HR chatbot and patient-facing text and image generation capabilities using LLMs.
- Built an AI-powered terminal assistant that won our internal hackathon and was later adopted by engineering teams to simplify command-line workflows.
- Mentor engineers through architecture discussions, design reviews, and code reviews while helping modernize backend services and cloud infrastructure.
System Software Engineer
February 2019 - April 2024- I design and build backend services and platform capabilities for healthcare applications running on Azure.
Software Developer
March 2018 - February 2019Software Engineer Intern
June 2017 - August 2017Software Engineer
September 2013 - June 2016Key Projects & Innovation
AI Developer Terminal Assistant
Hackathon Winner: A desktop tool improving developer productivity by integrating AI assistance directly into the terminal workflow. Adopted internally by Dev and QA teams.
Wheedle - LLM Security Game
An interactive game designed to test the limits of LLM-based agents. It challenges players to use prompt injection and social engineering to "break" the agent's instructions.
E-Card GenAI Features
Enabled patient families to enhance message text and generate personalized e-card images using GenAI models, improving user engagement.