Rajesh Gautam / Software Engineer

About me.

I’m a Senior Full-Stack / Backend Engineer with nearly six years of professional experience. My background spans telecommunications, insurance, e-commerce, and higher education.

I’m most interested in the space between a clean software design and a dependable production system—where APIs, data, security, delivery, observability, and user experience meet.

Rajesh and a small team working together on electronics and a robotics prototype
Rajesh wearing academic regalia and holding his diploma at graduation
Hands assembling and testing a small wheeled robotics prototype
01

Building across the stack.

My strongest recurring work centers on Java, Spring Boot, APIs, data, security, and distributed communication. React, Angular, and TypeScript give me the range to follow a feature across the product boundary instead of treating frontend and backend as unrelated concerns.

02

Thinking beyond implementation.

I consider architecture, implementation, testing, delivery, monitoring, troubleshooting, performance, and long-term change as parts of the same engineering responsibility. Production support has reinforced that software quality includes how clearly a system can be operated and diagnosed.

03

Staying curious.

My interests extend beyond conventional application code. I explore local inference, developer agents, multimodal applications, and hands-on systems with attention to privacy, latency, reliability, evaluation, and human review.

Background

An academic foundation,
continued in practice.

Computer science and information technology provided the foundation. Professional delivery and continued study keep that foundation evolving.

Education

Wilmington University

Bachelor of Science, Computer Science

GPA: 3.95 / 4.00
Education

Community College of Baltimore County

Associate degree, Information Technology

Continued learning

CS50’s Introduction to Artificial Intelligence with Python — Harvard University

Continued learning

Full Stack Web Development — Johns Hopkins School of Engineering

Active exploration

Engineering Lab.

AI-assisted engineering workflows

How can local models and developer agents improve engineering throughput while preserving review, privacy, and accountability?

  • Local model inference
  • Developer agents
  • Multimodal applications
  • AI-assisted analysis and testing
Specific public lab artifacts and measured findings have not yet been supplied; this entry describes an active area of exploration, not a production system.