# Akshay Dangare > Staff Software Engineer @ IBM | Cloud Infrastructure Location: San Francisco Bay Area, United States Profile: https://flows.cv/akshaydangare As a staff software engineer at IBM, I work with the cloud infrastructure team that deploys IBM Watsonx.data, a high-performance data lakehouse, onto AWS and IBM Cloud. I leverage my skills in Python, Kubernetes, and OpenShift to design, implement, and automate scalable and secure solutions for data management and analytics. I graduated with a master's degree in computer science from Northeastern University in December 2021, where I gained hands-on experience in full-stack development, machine learning, and data visualization. I also published two research papers in IEEE conferences, one on a tool for visualizing the network topology of device connections, and another on enterprise search. I am passionate about solving complex problems with innovative technologies and collaborating with diverse teams. ## Work Experience ### Staff Software Engineer @ IBM Jan 2022 – Present | San Francisco Bay Area Working with the Cloud Infrastructure team responsible for deploying IBM Watsonx.data, a high-performance Data Lakehouse onto AWS and IBM Clouds. ### Software Engineer Intern @ IBM Jan 2021 – Jan 2022 | San Francisco Bay Area Worked with the Cloud Infrastructure team responsible for deploying IBM Netezza, a high-performance Database server onto Azure and IBM Clouds. -- Setup an Enterprise SonarQube server for Static Code Scanning of Netezza code, and automated scans using a CI pipeline. Developed a CD pipeline to deploy the Netezza Image onto multiple IBM Cloud and Azure clusters using OpenShift. -- Deployed a Python Flask server on an auto-scaling multi-node cluster using Kubernetes with IBM Kubernetes Service. -- Successfully presented and handed-over this pipeline to the security team to run scans on-demand via IBM Cloud. -- Setup OnePipeline cronjobs to perform role based access synchronization between Azure Security Groups, Access Management tool and role based access controls in OpenShift clusters, which are running every hour. -- Developed a CD pipeline to deploy Netezza onto multiple IBM Cloud and Azure clusters using OpenShift. -- Actively Participated in Architecture design discussions with Senior Engineers for setting up these pipelines on IBM Cloud. ### Software Engineer Intern @ Dell Technologies Jan 2020 – Jan 2020 | Greater Boston Developed a Service for visualizing the network topology of device connections inside a customer’s network which reduces the time taken by an analyst to draw the topology of a network from a couple of hours to microseconds. -- With an Ember.js Redux front-end, Spring Boot back-end, I got to develop a Fullstack application from scratch. Integrated 5000+ lines of code into the production codebase after testing it thoroughly using Unit and Integration tests. -- Built CI/CD pipelines using Jenkins and Python for automating the testing of Threat-content rules in our SIEM product. This eliminated the need for software testers to spend time manually testing these rules which used to take a couple of days daily. Now with an automated CI/CD pipeline that task is done in 6 hours. -- Practiced Agile development methodologies using SCRUM in a collaborative environment in Git. -- Cherished having complete ownership of my project - being able to demo my project to all product managers, VPs and end-users, incorporate feedback, propose new stretch goals, and work on additional features. ### Graduate Teaching Assistant @ Northeastern University Jan 2020 – Jan 2020 | Greater Boston Area Worked as the head Teaching Assistant for CS 4120 Natural Language Processing under Professor Lu Wang for Spring 2020 semester. -- Duties include creating/optimizing assignment and exam material, managing grading infrastructure, mentoring final projects, and giving lectures/presentations to a class of 50 students. ### Machine Learning Engineer @ UnFound.ai Jan 2018 – Jan 2019 | Mumbai Area, India Mainly responsible for brainstorming on various product features, implementing them, maintaining the codebase, training and analyzing results of Machine Learning models and deploying them to production using AWS. -- Maintained and expanded our Cloud Architecture using EC2 servers on AWS Cloud for Machine Learning APIs. Built an auto-scaling serverless REST API for keyword extraction using AWS Lambda, API Gateway, S3, and boto3. -- Developed 4 scalable Natural Language Processing RESTful APIs by hosting them on AWS using Flask, uWSGI, and NGINX webservers, which helped generate a secondary monthly income for the company. -- Improved the accuracy of an existing 17 Class News Classifier from 81% to 97% using a One-vs-Rest Strategy on an SVM Classifier which allowed us to deploy the feature live on the product without any/little human interference. -- Integrated a Queuing Mechanism in our ML Backend using RabbitMQ, which prevented our Deep Learning APIs to break due to memory shortage when too many requests are flooded into our ML Servers. -- Restructured the entire ML Architecture by shifting to Docker Containers, adding Unit tests and Style Checks to all projects and setting up Jenkins for continuous integration in production which facilitated faster, automated deployments, saving time and efforts of the entire team. ### Summer Research Intern @ Stevens Institute of Technology Jan 2017 – Jan 2017 | Hoboken, New Jersey - Worked under professor Dr. Jose Ramirez-Marquez - Analyzed the various problems faced by the people in New York City and the possible solutions to them using Data Analytics and Visualization. - Lead my team to develop a tool called House-Viz that aims to improve the decision-making process of people by providing interactive visualizations that foster effective comparisons of the features of various houses in New York City. - Our research paper based on this work was published at an International IEEE Conference on March 2018. ## Education ### Master's degree in Computer Science Northeastern University ### Bachelor of Engineering in Computer Engineering Vidyalankar Institute of Technology, Mumbai ### Higher Secondary Certificate in Science Fr Agnel School ### Secondary School Certificate in General Fr Agnel School ## Contact & Social - LinkedIn: https://linkedin.com/in/akshay-dangare - Portfolio: https://twitter.com/Akshay_DanGrey --- Source: https://flows.cv/akshaydangare JSON Resume: https://flows.cv/akshaydangare/resume.json Last updated: 2026-03-29