# Akshat Bajpai

> Software Engineer II at Dell Technologies

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/akshatbajpai

Software Engineer | Full-Stack Developer | Distributed Systems | 3+ Years Experience

As a full-stack developer with over three years of experience, I specialize in building robust, high-performance applications from the ground up, with expertise in both front-end and back-end development. Currently contributing at Dell Technologies, I focus on developing distributed storage systems and enhancing data management functionality for optimized efficiency and scalability.

I’m skilled in:

Programming Languages: C, C++, Python, Java, Swift
Tech Stack & Tools: CI/CD, Jenkins, Jira, Confluence, Git
Testing & Debugging: Automated testing (pytest, unittest, cppcheck), CI/CD pipeline management, and in-depth debugging with gdb, dtrace, and pdb
Notable achievements include:

Reducing system downtimes by 15-20% through end-to-end testing and root-cause analysis for distributed clusters
Improving team velocity by 20% as a Scrum Manager, leading sprint planning, backlog refinement, and metrics reporting for Dell’s PowerScale project
I’m passionate about finding innovative solutions to complex challenges, collaborating in Agile environments, and continually refining my technical skills to contribute to impactful software products. Currently exploring new opportunities in software engineering within the Bay Area to bring my expertise in distributed systems, automation, and reliability testing to a forward-thinking team.

Let’s connect if you’re looking for a software engineer who’s ready to tackle tough challenges and make an immediate impact!

## Work Experience
### Software Engineer 2 @ Dell Technologies
Jan 2021 – Present | San Francisco Bay Area
• Designed and optimized scalable, fault-tolerant distributed systems, improving latency, availability, and resource efficiency in Linux-based environments.
• Developed high-performance system software in C/C++ and Python, optimizing memory management, process scheduling, and I/O operations.
• Engineered multi-threaded and parallel computing solutions, reducing compute overhead and improving real-time processing.
• Debugged low-level system issues, profiling CPU utilization, memory leaks, and kernel interactions using GDB, pdb, and dtrace.
• Implemented load balancing and distributed caching strategies (Redis, Memcached, ccache, distcc), reducing latency and optimizing compute efficiency.
• Architected containerized and virtualized environments with Docker, Kubernetes, and KVM, ensuring resource isolation and efficient orchestration.
• Integrated monitoring and observability frameworks (Prometheus, Grafana, ELK Stack) for real-time system health tracking and anomaly detection.
• Developed custom networking solutions, optimizing TCP/IP stack performance, packet processing, and secure communication.

### Software Engineer @ Credence ID
Jan 2021 – Jan 2021 | Oakland, California, United States

### Graduate Student Teaching Assistant @ University of the Pacific
Jan 2019 – Jan 2021 | Stockton, California, United States
• Developed a data structures and algorithms visualization app for University of the Pacific, aiding 100+ students in understanding complex algorithms.
• Mentored 350+ students in DBMS, data structures, operating systems, and computer networks, assisting with error-debugging and coding in C/C++, Python, and JAVA.

### Software Engineer Intern @ Doorastha Analytics Pvt. Ltd.
Jan 2018 – Jan 2018 | New Delhi Area, India
• Collaborated with firmware and software teams to implement smart-meter and smart grid system using C++, Arduino IDE, and NGINX.
• Recommended cloud services based on use case needs, saving costs and improving efficiency.
• Implemented test automation using Selenium and performed unit-testing on large server data.
• Evaluated hardware capabilities and suggested efficient ways to connect smart meters, reducing costs by 15%.

### Artificial Intelligence Industrial Trainee @ Hewlett Packard Enterprise
Jan 2018 – Jan 2018 | New Delhi Area, India
• Developed an Automatic carparking system using ROS, Object Detection, and SLAM for Hewlett Packard Enterprise.
• Implemented a convolutional neural network-based vacant parking detector with OpenCV and YOLO modules.
• Translated Python code to C++ to enhance the embedded system's runtime by 39%.


## Education
### Master of Engineering Science in Computer Science- MSES in Computer Science
University of the Pacific

### Senior Bachelor’s of Science Certificate- CISE Student Exchange Program in Computer Science
University of Florida

### Bachelor’s of Technology in Computer Science
Jaypee University of Engineering and Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/akshat-bajpai
- Portfolio: https://www.akbexpo.com/

---
Source: https://flows.cv/akshatbajpai
JSON Resume: https://flows.cv/akshatbajpai/resume.json
Last updated: 2026-03-29