YEABSERA YIMER WOLLE
Brooklyn,NY
Summary
Software Engineer with 3 years of experience designing AI-powered analytics platforms, full-stack applications, and backend services across biotechnology and defense industries. Experienced developing LLM-driven applications, REST APIs, interactive data visualization platforms, and statistical analytics solutions using Python, Java, Flask, Streamlit, LangChain, Azure OpenAI, and modern web technologies. Passionate about building intelligent software that transforms complex manufacturing and scientific data into actionable insights.
Overview
4
4
years of professional experience
Work History
Software Engineer
Johnson & Johnson
03.2025 - Current
- Designed and developed a full-stack manufacturing analytics platform enabling scientists to explore CAR-T manufacturing data through customizable dashboards and conversational analytics.
- Built Python Flask REST APIs and Streamlit applications that integrated multiple manufacturing datasets into a unified analytics experience.
- Developed interactive Bokeh and Plotly visualizations supporting box plots, scatter plots, time-series, SPC Run Charts, and advanced manufacturing trend analysis.
- Implemented robust data validation, parameter extraction, and schema validation pipelines to ensure reliable analytics across global manufacturing sites.
- Partnered with scientists and manufacturing SMEs to translate investigation workflows into scalable software solutions.
- Architected and developed an LLM-powered analytics agent that converts natural language questions into validated statistical visualizations for manufacturing investigations.
- Integrated Azure OpenAI, LangChain, and internal REST APIs to automatically interpret user intent, identify manufacturing metrics, validate parameters, and generate interactive analytics.
- Designed the complete agent orchestration pipeline, including intent routing, prompt engineering, parameter extraction, validation, backend API integration, and visualization rendering.
- Implemented conversational support for box plots, scatter plots, time-series analysis, and SPC Run Charts, enabling scientists to generate analytics without writing SQL or code.
- Built intelligent validation layers using fuzzy matching and schema validation to improve reliability of AI-generated analytics requests.
- Designed and developed an automated statistical hypothesis testing agent capable of selecting and executing the appropriate statistical methodology from natural language research questions.
- Engineered a deterministic decision-tree orchestration engine implementing over 30 statistical techniques, including Chi-Square, ANOVA, Correlation, Regression, t-tests, Kruskal-Wallis, Friedman, Ordinal Logistic Regression, and additional parametric and non-parametric methods.
- Integrated Azure OpenAI to inspect datasets, validate statistical assumptions, generate executable Python code, and automate hypothesis evaluation while maintaining deterministic statistical decision logic.
- Created transparent audit trails documenting every statistical decision and test executed, improving reproducibility and investigator confidence.
- Conducted statistical investigations across global manufacturing datasets to identify trends contributing to Out-of-Specification (OOS) events.
- Developed analytical workflows supporting manufacturing process investigations through statistical visualization, trend analysis, and multivariate comparisons.
- Collaborated with cross-functional teams through Jira, Confluence, and agile development practices to deliver production-ready AI capabilities.
- AI Manufacturing Analytics Platform
Software Engineer I
L3Harris Technologies
06.2023 - 03.2025
- Developed high-reliability Java backend services and REST APIs supporting satellite communication training systems for defense applications.
- Investigated and resolved recurring telemetry and messaging defects through root cause analysis, improving software reliability across mission-critical workflows.
- Designed and implemented a full-stack React, Node.js, and JavaScript application simulating armored vehicle training environments.
- Built an automated JavaScript/VBA data ingestion application that improved internal data storage efficiency by 56%.
- Applied JUnit, Gradle, and Test-Driven Development (TDD) practices to improve backend quality and deployment stability.
- Collaborated directly with government customers to gather requirements and translate operational needs into scalable software solutions.
Software Engineer Intern
General Dynamics Mission Systems
05.2022 - 08.2022
- Developed React and Node.js navigation displays supporting submarine training systems.
- Improved frontend performance and collaborated through Git and agile development workflows.
- Built a Jenkins CI/CD pipeline to automate Java application build, testing, and deployment.
Education
Bachelor of Science - Computer Science, Software Engineering
Virginia Commonwealth University
Skills
Languages
Python, Java, JavaScript, SQL, C/C
AI / Machine LearningAzure OpenAI, LangChain, LLM Applications, Prompt Engineering, AI Agents, Natural Language Processing, Statistical Analysis
FrameworksFlask, Streamlit, React, Nodejs, Pandas, NumPy, SciPy, Statsmodels, Bokeh, Plotly
Cloud & DevOpsREST APIs, Docker, Git, CI/CD, Linux, Ansible, AWS Amplify
DataData Visualization, Manufacturing Analytics, SQL, Interactive Dashboards
Languages
- Python
- Java
- JavaScript
- SQL
- C/C++
Projects
- DevOps SaaS Platform, Developed Flask REST APIs and containerized services using Docker., Automated testing with PyTest and deployments using Ansible, reducing deployment time by 70%., Built CI/CD pipelines supporting scalable application deployment.
- Automated Information Extraction Platform, Built a full-stack React and Node.js application leveraging AWS Comprehend for automated NLP-based entity extraction., Integrated backend APIs with AWS Amplify to deliver real-time property analysis.
Timeline
Software Engineer
Johnson & Johnson
03.2025 - Current
Software Engineer I
L3Harris Technologies
06.2023 - 03.2025
Software Engineer Intern
General Dynamics Mission Systems
05.2022 - 08.2022
Bachelor of Science - Computer Science, Software Engineering
Virginia Commonwealth University