# Yasira Younus

> Software Engineer at Alembic Technologies

Location: United States, United States
Profile: https://flows.cv/yasira

Experienced Software Engineer with nearly 4 years at IBM, specializing in AI application development, integration of LLM technologies, and robust automation pipelines. Proven track record in leading innovative software projects from concept to deployment, enhancing product capabilities and operational efficiency.

## Work Experience
### Software Engineer @ Alembic Technologies
Jan 2025 – Present | San Francisco, California, United States

### Backend Engineer - WatsonX Business Intelligence Assistant @ IBM
Jan 2023 – Jan 2025 | San Jose, California, United States
• Managed an intelligent data driven visualization recommendation engine, enhancing user interactions by automatically suggesting the most relevant charts for business data queries.
• Led the integration of LLM technology into various parts of the application flow, focusing on enabling dynamic user interactions with data visualizations through natural language processing.
• Initiated a proof-of-concept to improve question-answering accuracy by generating intelligent metadata and labels for data assets, laying the groundwork for more reliable analytics.
• Led a comprehensive evaluation of internal LLM capabilities for a multilingual chat use case, employing a custom-built Python pipeline to benchmark against competitors and set key performance metrics.

### Software Engineer - HyperBlue AI Incubator @ IBM
Jan 2022 – Jan 2023 | San Jose, California, United States
• Orchestrated the development and deployment of an automation pipeline on AWS using Red Hat clusters, enhancing project scalability and deployment reliability.
• Led the conceptualization and planning of a modular component architecture to enable users to create and integrate custom functionalities into AI applications.
• Collaborated in developing and delivering a prototype LLM chatbot for developer productivity within three weeks, securing executive buy-in and funding after demoing to the Senior Vice President of the software division.
• Advocated for and facilitated AI literacy within the team, delivering educational sessions on LLM technologies and applications, significantly enhancing team capabilities.
• Contributed to diverse aspects of AI application development, from LLM integration and prompting to infrastructure management, showcasing a broad technical skill set.

### DevOps Engineer - Watson Discovery @ IBM
Jan 2021 – Jan 2022 | San Jose, California, United States
• Spearheaded cloud delivery optimizations and automated pipeline enhancements, streamlining existing processes and reducing manual intervention.
• Administered cloud infrastructure across IBM Cloud and Red Hat OpenShift platforms, enhancing operational stability and scalability.
• Played a key role in implementing mutual TLS (mTLS) security across all services, significantly improving the security posture and compliance of the product.
• Managed the end-to-end promotion and delivery pipeline for IBM Cloud, ensuring seamless, error-free deployments and updates.

### Software Engineer for Aerodite @ Aerodite
Jan 2020 – Jan 2020 | Austin, Texas, United States
- Worked directly with a customer to develop a proof of concept webapp for a startup idea 
- Acquired the ability to discuss design and implementation directly with a customer, learned to accommodate changing requirements
- Full-stack development using MongoDB for database, Python Flask for backend, and React for frontend
- Practiced negotiating implementation while considering differences in business impact vs. technological complexity
- Learned to communicate with people outside of tech to make sure the customer achieved the desired outcome

### Software Engineer Intern in IBM Watson Discovery DevOps Team @ IBM
Jan 2020 – Jan 2020 | Austin, Texas, United States
- Developed internal tool to fully deploy Watson Discovery clusters and environments with a few clicks while avoiding race conditions
- Learned the inner workings of managing and executing deployments for large enterprise services
- Taught myself Go by creating a fully functional backend that served an HTML frontend and implemented multithreaded file monitoring
- Used Docker, Jenkins, and Kubernetes to containerize and deploy service to IBM Cloud through an integrated automation pipeline
- Managed the challenges of working remotely, not having co-interns to rely on, and changing requirements that caused setbacks

### Software Engineer Intern in IBM Watson Discovery Search Team @ IBM
Jan 2019 – Jan 2019 | Austin, Texas Area
- Designed a statistical machine learning based solution to a rate limiting issue with the Watson Discovery search engine
- Worked within an extensive live service and made real-time deployments and changes to that service
- Developed a configurable log scraping service for Watson Discovery search in Python to create a uniform cloud-based data set
- Was exposed to Python, Jenkins, Docker, and Kubernetes for the first time and learned them on the job quickly
- Collaborated with a team spread across the US with varying skills and time zones


## Education
### Bachelor's degree in Computer Engineering
The University of Texas at Austin


## Contact & Social
- LinkedIn: https://linkedin.com/in/yasirayounus

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Source: https://flows.cv/yasira
JSON Resume: https://flows.cv/yasira/resume.json
Last updated: 2026-04-10