balaraju m AIT23BEAI156

Bangalore

I'm a Software Engineering Specialist with 3 years of experience, currently contributing to cutting-edge work at xAI, where I bring a strong sense of accountability and meticulous attention to detail to every project I take on. I tend to work best independently, combining logical thinking with a touch of idealism to build solutions that are not just functional but genuinely meaningful. My flexibility and diligence allow me to adapt to evolving challenges while maintaining the high standards I hold myself to.

Experience

R

Software Developer Intern

Redhill Softec · Present

Not yet confirmed

• Assisted in backend development and debugging of APIs.
• Built scripts for automating testing and improving system workflows.

H

Technical Support Engineer (Contract)

HeyPocket · Present

Not yet confirmed

• Diagnosed system-level issues across APIs, configurations, and device interactions.
• Identified recurring failure patterns and contributed to improving system reliability.
• Translated complex technical issues into structured, actionable insights.

X

Software Engineering Specialist (Contract)

xAI · Present

Not yet confirmed

• Worked on validation pipelines for machine learning datasets.
• Identified inconsistencies and data quality issues across distributed data systems.
• Supported debugging of model outputs and contributed to improving evaluation processes.

P

Project-Based

Product Support & Engineering Collaboration · Jan 2023 – Present

Not yet confirmed

• • Served as first-line technical support for users testing internal tools and demos.
• • Translated ambiguous user feedback into reproducible GitHub issues with logs and steps.
• • Identified recurring failure patterns and worked with engineers to improve defaults and documentation.

X

Swe specialist

xAI · Jan 2026 – Feb 2026

Not yet confirmed

H

Technical Support Specialist

Hey pocket · Sep 2025 – Jan 2026

Not yet confirmed

Software Intern

REDHILL SOFTEC · Jan 2022 – Jan 2023

Not yet confirmed

• • Built and deployed ML-based automation components in Python for internal production workflows.
• • Integrated hardware signals into data pipelines for real-world experimentation and debugging.
• • Collaborated with engineers to diagnose failures, reproduce bugs, and improve system robustness.