# Akaash Mosi

> Software Engineer @ Liftoff

Location: New York, New York, United States
Profile: https://flows.cv/akaashmosi

Hello! I am Akaash, a software engineer with 4+ years of experience in end-to-end enterprise-ready application development, data analytics/visualization, and API orchestration. Throughout my previous positions, I have collaborated with diverse teams and worked with various technologies, which has honed my adaptability and accelerated my learning. My passion for exploring the vast potential of data continues to inspire me. When I'm not working, I can usually be found on the basketball court, whipping up a stir fry, attempting to break my sudoku record, or scouting out a peaceful spot to set up a tent. I am thrilled to advance my career in a dynamic, fast-paced environment where I can leverage my abilities and progress as a professional.

## Work Experience
### Software Engineer @ Liftoff Mobile
Jan 2024 – Present

### Data Analyst @ Lockheed Martin
Jan 2023 – Jan 2024
•	Built dashboards using Tableau & SQL to provide real-time insights into manufacturing KPIs; managed relations between teams for data accessibility

### Software Engineer @ Lockheed Martin
Jan 2021 – Jan 2023
•	Java UX Feature Implementation - Redesigned a Java-based telemetry communication tool with a Swing-based UI platform by adding analysis features that increase user efficiency and flexibility
•	Maven and CI/CD Incorporation – Converted legacy products to a Maven-based structure with Gitlab CI/CD assimilation to create a streamlined build and publish process
•	Java Automation Plugin - Coordinated the development of a Java-based automation plugin for converting Cameo System models into SCL scripts through API data collection
•	Perl Platform Modernization - Developed Perl and bash scripts to modernize legacy software and incorporate new technologies in Unix, Linux, and Windows environments for over 5 tools
•	Program Recognition - Received a program award for agile leadership and mastery of the tools

### Full-Stack Developer Intern @ IBM
Jan 2019 – Jan 2020 | San Jose, California
•	Python OCR and NLP Pipeline - Created a Python pipeline incorporating open-source software that improved the accuracy of page segmentation and text extraction by implementing Optical Character Recognition (OCR) and Natural Language Processing (NLP)-based filtration methods
•	Docker Performance Testing - Conducted rigorous performance testing of memory and CPU usage on Docker and Kubernetes clusters using Prometheus, Grafana, and cAdvisor
•	JavaScript API Design - Developed API orchestration to connect databases to the front-end interface by creating and modifying API’s in JSON format using JavaScript and PostgreSQL
•	Multiprocessing Optimization - Implemented performance optimization through multiprocessing in Python to reduce overall product runtime by 40%

### Undergraduate Research Assistant @ Moores Cancer Center
Jan 2018 – Jan 2019 | University of California San Diego
• Applying Probabilistic Bayesian Inferential models into Cancer Genomics and Using Python to Analyze Genomic Datasets
• Researched alongside faculty members Dr. Pablo Tamayo and Dr. William Kim as part of the Faculty Mentor Program


## Education
### Bachelor's degree in Mathematics and Computer Science
UC San Diego


## Contact & Social
- LinkedIn: https://linkedin.com/in/akaash-mosi-9b1873158

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Source: https://flows.cv/akaashmosi
JSON Resume: https://flows.cv/akaashmosi/resume.json
Last updated: 2026-04-13