# Pooja Kulkarni > SMTS Software Engineer at Slack | ASU alumna | Ex-Morgan Stanley | GHC'24, vGHC'23 Location: San Francisco Bay Area, United States Profile: https://flows.cv/poojakulkarni As a Software Engineer MTS at Slack, I develop vulnerability management tools for the Slack Security team, using technologies such as Python and GraphQL. I joined Slack in June 2023, after graduating with a Master's degree in Computer Science from Arizona State University, where I worked on a research project to add support for AVX instructions on modern decompilers using Python. Before joining Slack, I interned at Motorq, where I built a fleet management Salesforce lightning web app and a CRM analytics dashboard, using skills such as TypeScript, Snowflake, and Einstein Analytics. I also have 3+ years of professional experience as a software engineer at Morgan Stanley, where I worked on various projects involving Java, Spring, Hibernate, IBM MQs, Angular, React, Perl, Python, and SQL. I received a recognition certificate for taking ownership of a 5-month long project to decommission and rewrite a flow under the cash confirmations system. I am always eager to learn new technologies and work on interesting projects that challenge me and make an impact. I have a passion for web and backend development, and I have completed certifications in design patterns, and React hooks. I am also proficient in HTML/CSS, REST APIs, MongoDB, and PostgreSQL. I enjoy collaborating with other engineers and stakeholders, and I value quality, security, and user experience in my work. ## Work Experience ### Software Engineer SMTS @ Slack Jan 2025 – Present | San Francisco Bay Area - Drove a multi-quarter, 5-engineer, company-wide migration from Nessus to Wiz, delivering more reliable security detection coverage to eliminate ~20 engineering hours/month in maintenance overhead ### Software Engineer MTS @ Slack Jan 2023 – Jan 2025 | San Francisco Bay Area - Architected & executed a project to expose security misconfigurations using Python, GraphQL, Docker, saving ~1 hour of daily manual work - Cross-functionally contributed to a project that automates Jira ticket creation, accelerating the project completion timeline by ~2 weeks - Helping Slack choose the most optimal vulnerability management solution by spearheading a comprehensive Nessus vs. Wiz security tooling analysis using Python, GraphQL - Reduced memory utilization of a critical vulnerability reporter by 99.75% by moving to a batching solution ### Software Development Engineer Intern @ Motorq Jan 2023 – Jan 2023 | Tempe, Arizona, United States - Developed a fleet management Salesforce lightning web app using Node.js, to seamlessly integrate it in customers’ Salesforce orgs - Built a CRM Analytics Dashboard by connecting a Snowflake warehouse using Salesforce Live Connector in Einstein Analytics - Automated bulk aftermarket account creation, saving ~30 minutes per account using Appsmith, Typescript and Azure, Github and Rancher APIs ### Graduate Services Assistant @ Arizona State University Jan 2022 – Jan 2022 | Tempe, Arizona, United States - Working on a research project with Dr. Ruoyu (Fish) Wang (SEFCOM lab) to add support for AVX instructions on modern decompilers - Created a report on the behavior of decompilers such as Ghidra, Angr, IDA, Reko, Binary Ninja, Snowman, etc. on decompiling AVX instructions inside an optimized tmux build - Developing a tool using C and Python that will convert these instructions into basic assembly instructions, patch them and pass them to the target decompiler ### Software Developer, Full-stack @ Arizona State University Jan 2021 – Jan 2022 | Tempe, Arizona, United States - Full-stack web developer for Quadriga2.0, a graph-based knowledge representation web app, as part of the Digital Innovation Group - Developed backend features, REST endpoints using Java, Maven, Spring MVC, SpringData JPA with MongoDB, Neo4J - Developed front-end features using HTML with Thymeleaf, Bootstrap, CSS and Javascript - Developed tree-based network visualization algorithms using Java and CytoscapeJS - Developed authentication logic using OAuth2 and Spring Security ### Software Engineer Intern @ Salesforce Jan 2022 – Jan 2022 | San Francisco, California, United States - Built an Apache Airflow Python DAG that extracted ~2.5 million vulnerabilities scanned by Nessus, present in Salesforce’s perimeter IP networks - Persisted these vulnerabilities in AWS AuroraDB and exposed them for remediation via backend APIs using Golang and Swagger - Went above and beyond by building APIs to disclose vulnerabilities’ insights and built Grafana dashboards for extraction metrics ### Software Engineer Manager @ Morgan Stanley Jan 2021 – Jan 2021 | Mumbai, Maharashtra, India • Completed the renovation of a high-volume trading component using Java + Spring Boot • Trained new recruits • Wrote complex testing scripts using Python • Completed the final phase for decommissioning a legacy component ### Senior Associate Software Engineer @ Morgan Stanley Jan 2020 – Jan 2021 | Mumbai, Maharashtra, India • Worked on stabilizing the Confirmations system, enhancing monitoring and fixing production bugs Worked on rewriting and renovating a high-volume legacy component to a newer, stable and enhanced version. The technology stack used: Java, Springboot, DB2 with JDBC. • Currently working on renovating another high-volume legacy component. This component is much larger and complex than the previous one and is used for trading in Tokyo. The technology stack used: Java 8, Spring boot, JDBC, Hibernate, SOAP, XML, XSLT, Gradle, DB2, Sybase, H2, etc. ### Associate Software Engineer @ Morgan Stanley Jan 2019 – Jan 2020 | Mumbai Area, India • Successfully executed a 5 months project for enhancing and stabilizing a part of the system flow which helped me understand the Confirmations system and the database structure. Technology stack used for the project: Java, DB2, Sybase, XML, XSLT • Currently a part of the Tokyo Squad. Enhanced monitoring scripts and scripts used by developers which are written in perl and Korn shell. Implemented additional scripts in python to improve monitoring and automation. • Appointed as the relationship manager and campus captain for conducting an interview drive as a part of the campus placement drive for D. J. Sanghvi College of Engineering. ### Technology Analyst @ Morgan Stanley Jan 2018 – Jan 2019 | Mumbai Area, India • Completed a 4-month training under the Technology Analyst Program (TAP), 2018, a training program conducted by Morgan Stanley. Technologies taught during the training: C, C++, Java, Scala, C#, DB2, Sybase, etc. • Successfully completed the final project under the TAP training using Apache Nifi. • Was hired in the Cash Confirmations team, Corporate and Funding Technology. ### Web Development Intern @ Yocket Jan 2017 – Jan 2017 | Mumbai Area, India • Introduced a whole new feature on the website yocket.in • Designed a database structure and designed a responsive front-end for the same • Improvised and made an addition to the existing features on yocket. ### Back End Development Intern @ Mindshift Applications & Solutions Pvt. Ltd. Jan 2017 – Jan 2017 | Work from home • Created many new APIs and fixed a few bugs. • Improved database design for existing features and cleaned up tables. • Introduced innovative ideas and implemented the same. ## Education ### Master's degree in Computer Science Arizona State University ### Bachelor of Engineering in Computer Engineering Dwarkadas J. Sanghvi College of Engineering ## Contact & Social - LinkedIn: https://linkedin.com/in/poojakulkarni562 --- Source: https://flows.cv/poojakulkarni JSON Resume: https://flows.cv/poojakulkarni/resume.json Last updated: 2026-04-11