Work Experience

Customer Experience Developer Coop, Cloud RAN System DevOps team

Ericsson, Ottawa, Canada

September 2024 - April 2025

  • Improved system reliability by 70% by building a Dockerized microservice to automate health checks for Cloud RAN (Radio Access Network) applications and deployed in a Kubernetes cluster.
  • Streamlined the deployment by implementing a CI/CD pipeline using Jenkins and Helm charts, reducing manual effort and accelerating release cycles.
  • Achieved 90% reduction for testing on remote Test channels using reusable Ansible playbooks.
  • Resolved design rule violations to ensure rApp compliance with security standards and successful integration into production environments.

Full Stack Developer Intern

Snovation, Remote, Canada

June 2024 - August 2024

  • Engineered innovative backend features for Nalan by collaborating closely with the product team, resulting in a 30% increase in operational efficiency.
  • Collaborated with the R&D team to develop and integrate Generative AI models, resulting in a reduction of manual processing time by 85%.

Software Engineer, Data Analytics team

GigSky, Bangalore, India

Aug 2021 - Aug 2023

  • Developed a feature that manages new GigSky plans handling up to 60 million CallDataRecords and dockerized it. Utilized Flink, Kafka, and MongoDB, and created Kafka JDBC connectors for source.
  • Designed and developed a Flink Spring Boot application handling alert notifications based on data usage of GigSky SIM users, processing around 40 million data per day.
  • Implemented a feature in an app that uses KafkaStreams instead of REST APIs to connect between two backend microservices, resulting in a 30% decrease in latency. Additionally, automated test cases, performed load testing, and benchmarked results.

Software Engineer Intern

GigSky, Bangalore, India

Jan 2021 - July 2021

  • Optimized the stream processing pipeline using technologies such as Kafka and Flink.
  • Researched AWS ECR and migrated from DockerHub to ECR for enhanced efficiency and scalability, reducing deployment time by 50%.

Project Intern

HPE, Bangalore, India

Aug 2019 - June 2020

  • Conducted comparative research on Hypervisor Security and Security aspects of Cloud, focusing on AWS and Google cloud and presented findings through a seminar.

Projects

Online Voting System using Blockchain

A client-based decentralized application for voting system using Ethereum, Truffle framework, Solidity.

  • HTML
  • CSS
  • JavaScript
  • MongoDB
Project 1

Weapon Detection & Classification Using CNN

Built a CNN model that accurately detects and classifies weapons in real-time with 98% accuracy, leveraging Computer vision and Deep learning.

  • Python
  • CNN
  • Yolov3
Project 1

Plagiarism Detector

The project compares two documents and gives the percentage of similarity. Deployed as a standalone application using JavaFX and as a web application using Java Server Pages.

  • Object Oriented design
  • JavaFx
  • JavaServerPages

About Me

I'm currently pursuing my Master's degree in Computer Science at the University of Ottawa. As I navigate the academic world once again, I'm excited to apply the latest insights to real-world challenges. With over 2 years of experience as a Software Engineer at GigSky, I have learned about the wireless industry and developed a strong foundation in Big data and analytics.

My Resume