Work Experience
Senior Software Engineer
• 2022-Current
- Played a key role in building an interactive visualization tool for Google's multi-billion dollar real estate portfolio planner, enhancing internal customers' ability to perform cost-planning, future real estate estimations, and forecasting.
- Spearheaded full-stack creation of Google's security photo processing component for the company-wide Cedar rebadging project, leveraging deep learning for image processing and crafting a user-friendly Dart/Angular front-end. Automated photo processing for 170,000+ employees, ensuring a seamless transition to a new badge system and earning spot bonuses for exceptional contributions.
- Re-engineered and delivered Alphabet's Clearance Service, an essential system responsible for controlling door access across the entire company. This initiative was designed to scale the company's physical access system for projected growth over the next ten years, incorporating improved security measures, enhanced system reliability, and seamless integration with existing infrastructure.
- Led the development of a system providing internal admins comprehensive control over Google's operator and privilege-related operations. Supervised a junior engineer, successfully delivering the interface to enable efficient management of various use cases and streamline operations.
Senior Fullstack Engineer
Bluware, Inc. • 2019-2022
- Pioneered the architecture and development of UI for Bluware's InteractivAI, a cutting-edge geoscience web technology, enabling real-time, interactive, GPU-accelerated visualization and interpretation of massive subsurface datasets using deep-learning.
- Designed and implemented a sophisticated backend system for chunking large subsurface datasets, ensuring optimal data delivery and seamless reconstruction and rendering in the frontend, significantly enhancing performance and user experience.
- Engineered Python-based RESTful APIs for diverse use cases, and strategically integrated WebSockets to enable bidirectional real-time delivery of labeled data and deep learning-generated inferences across the frontend and backend systems, elevating the interactive capabilities and performance of the platform.
- Led a team of four UI engineers in overhauling the InteractivAI UI, integrating a rich suite of customer-requested features and improving performance. Collaborated with geoscientists and cross-functional teams to deliver innovative tools for accurate seismic data interpretation. Transitioned to modern web technologies for a scalable, maintainable codebase.
- For an in-depth demonstration of the InteractivAI and some of its capabilities, you can watch: InteractivAI Version 4.0 Overview, Seismic Facies Characterization Use Case.
Bioinformatics Programmer
North American University, Department of Computer Science • 2017-2018
- Led the development of a cutting-edge Genomics and Proteomics visualization tool using Python, React, TypeScript, Redux, Babel, Gulp, Webpack, and Three.js, enhancing data analysis capabilities for research teams at NAU.
- Automated the generation of input files for AutoDock Vina, streamlining molecular modeling processes, and implemented visualization using Python Molecular Viewer and PyMOL, advancing efficiency in computational biology research.
- Achieved optimal performance across diverse web-capable devices and browsers by skillfully optimizing components, ensuring seamless user experience for the Genomics and Proteomics visualization tool users at NAU.
Python Engineer
Antivlia LLC • 2015-2017
- Spearheaded the creation of an innovative online deal locator, catcher, detector, and checkout application using Python, empowering users with efficient access to exclusive offers and streamlined purchase processes.
- Architected both the UI and backend of a web application designed to forecast PC prices accurately. Employed React and Python to develop a sophisticated predictive model, enhancing user decision-making in the electronics market.
- Engineered custom Python-based web scraping solutions to gather valuable competitive insights, providing the organization with actionable data for strategic decision-making.
- Designed and implemented Python scripts automating inventory purchasing, listing, and selling processes, driving operational efficiency and reducing manual workload.
- Implemented sourcing strategies that significantly enhanced product acquisition efficiency, directly contributing to a substantial annual revenue upsurge for the company.
Graduate Research Assistant • Phd Work
Baylor College of Medicine • 2011-2017
- Designed and implemented robust data analysis pipelines in Python and R, processing complex immunological datasets to uncover key insights and trends related to the immune response in cancer vaccine research.
- Conducted advanced statistical analyses using Python libraries such as NumPy, SciPy, and Pandas to validate experimental results. Created informative and visually appealing graphs and charts with Matplotlib and Seaborn to effectively communicate findings to the research team.
- Automated repetitive data processing tasks with custom Python scripts, significantly reducing analysis time and increasing accuracy. This included automating the extraction, transformation, and loading (ETL) of experimental data into analytical models.
- Worked closely with multidisciplinary teams to integrate statistical findings into broader research projects. Presented data-driven insights through detailed reports and visual presentations, enhancing the overall understanding of the role of CD1d-restricted Natural Killer T cells in immune response mechanisms.
- To view a list of published work please visit my Google Scholar.
Intern • Research Assistant
Center for Infectious Medicine, Karolinska Institutet, Sweden • Summer 2009
- Expression, Refolding and Crystallization of an Artificially Mutated MHC class I Molecule with a Truncated HIV Peptide.
- Presented the results in symposium, Cambridge University, London, UK