# Lakshmi Narke

> SWE @ Microsoft || Prev - Amazon, Cisco || Microsoft ImagineCup Winner (Americas)

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/lakshmi

I am passionate about solving real-world problems with innovative and user-friendly solutions, and I have demonstrated this through multiple hackathons and projects. In 2023, my team won Microsoft Imagine Cup World Finals, where we developed a Deep Learning model to detect tuberculosis risk score using the cough audio.

## Work Experience
### Software Engineer @ Microsoft
Jan 2024 – Present | Mountain View, California, United States
I am working with the PowerPoint Team

### Data and Technology Fellow @ UC Irvine
Jan 2023 – Jan 2023 | Irvine, California, United States
Worked closely with the Vice Chancellor of Data and Information Technology at UC Irvine on different technology initiatives:
- Revolutionised education through a metaverse classroom, fostering interactive and decentralized learning experiences.
- Established an innovation hub, attracting 20+ leading Web3 and Generative AI companies for cutting-edge research.
- Developed an advanced LLM-based chatbot to elevate student interactions, providing AI-powered responses to future inquiries.

### Software Dev Engineer Intern @ Amazon
Jan 2023 – Jan 2023 | Irvine, California, United States

### Data and Technology Fellow @ UC Irvine
Jan 2023 – Jan 2023 | Irvine, California, United States

### Teaching Assistant @ UC Irvine
Jan 2022 – Jan 2023 | California, United States
Teaching Assistant for the courses: Communication and Writing in a Professional Setting.
- Led discussion sections 
- Graded assignments including professional emails, Memo, Executive Summary, Product reports.

### Software Engineer 2 @ Cisco
Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India
-I have contributed in the development of Real Time Media Service, building a media manager and call control app for a cloud contact center platform.
-During this time, I collaborated with a team of developers and stakeholders to design and implement a scalable, reliable solution. 
-I was able to gain extensive experience in real-time media processing systems and cloud-based integrations. Excited to apply skills in future technology roles

Tech stack includes FreeSwitch for calling, Kamilio, Quarkus framework of Java for core development of the platform, these are also hosted on the cloud using kubernetes

### Software Engineer 1 @ Cisco
Jan 2020 – Jan 2021 | Banglore
-I was involved in developing the Interactive Voice Response (IVR) micro-service for the WebEx Contact Center solution.
-I was responsible for working with a range of cutting-edge technologies, including Google Text-to-Speech, VoiceXML, Scala, Kafka, and Kubernetes.
-I collaborated closely with a team of developers and stakeholders to design and implement a highly scalable, reliable system that leveraged the power of distributed computing to deliver exceptional performance and functionality.
-I worked closely with customers and stakeholders during Early Field Testing, to troubleshoot issues, and identify areas for improvement, contributing significantly to the success of the project.

### Software Engineer Intern @ Cisco
Jan 2020 – Jan 2020 | Bangalore Urban, Karnataka, India
Worked on a project titled “Unified Scripting," which involved designing and building a graphical based editor to create call-flow for Contact Center Solution. It is being used to define call-flows that comprise Customer Voice Portal (CVP) and Contact Centre Enterprise (CCE) nodes.

### Industry Mentor @ School of Accelerated Learning
Jan 2022 – Jan 2022 | Bengaluru, Karnataka, India

### Industry Mentor @ Masai School
Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India
Mentoring students and helping them prepare for company interviews. Focused on Data structures, algorithms , MERN stack and competitive coding

### Software Engineering Intern @ Cisco
Jan 2019 – Jan 2019 | Bengaluru Area, India
Worked on a project titled “Validation-toolkit," which involved designing and building a solution to perform automated testing for call-flows, this tool generated reports based on the test results.

Tech stack: Java and Python for the blackened and Angular 7 for the frontend. It was hosted on a remote Ubuntu Machine using docker.

### Machine Learning Intern @ itie Knowledge Solutions, Bangalore
Jan 2018 – Jan 2018 | Banglore
Worked on a project titled “Object Detection for Autonomous Vehicles using Deep Learning.” This module was developed as part of a research project for driverless vehicles. The Deep Learning model was implemented using python libraries and deployed on RasberyPi with an application.

### Subsystem Engineer @ TeamAntariksh
Jan 2016 – Jan 2017 | RVCE,Banglore
Worked AX.25 protocol for the communication between the satellite and the ground station.


## Education
### Master's degree in Computer Science
UC Irvine
Jan 2022 – Jan 2023

### Bachelor of Engineering in Computer Software Engineering
RV College Of Engineering
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/lakshmi-narke-5b1a48145

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Source: https://flows.cv/lakshmi
JSON Resume: https://flows.cv/lakshmi/resume.json
Last updated: 2026-03-22