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Prajwal SrinivasPS
Open to opportunities

Prajwal Srinivas

@prajwalsrinivas

Full-stack cloud developer building high-availability AI platforms and secure cloud infrastructure.

United States
Message

What I'm looking for

I’m looking to keep building cloud-native, high-availability AI systems—especially secure infrastructure for AI platforms and agent governance—while working on production-scale reliability, performance, and architecture.

At Beunec Technologies, I architected and scaled Beunec Cloud, an AI productivity ecosystem, using AWS, MongoDB, and Cloudflare with failover and global load balancing for 1k+ users and 99.9% uptime.

I engineered Aselius AI with a privacy-first setup, including end-to-end encryption and secure vector storage, and I also optimized platform infrastructure with Redis caching and real-time behavioral analytics to handle traffic spikes.

Before that, I led a fast 4-week GCP serverless backend build at Universal Selfcare using Cloud Functions, Cloud Run, and GKE, coordinating a 5-developer team to deliver an on-time MVP while maintaining strict code quality and architecture standards.

Experience

Work history, roles, and key accomplishments

BT
Current

Full Stack Cloud & System Engineer

Beunec Technologies

May 2025 - Present (1 year 3 months)

Architected and scaled Beunec Cloud, an AI productivity ecosystem, with 99.9% uptime. Engineered Aselius AI, a proprietary GenAI engine with privacy-first infrastructure.

Rutgers University logoRU
Current

Teaching Assistant & Grader

Sep 2024 - Present (1 year 11 months)

Teaching and mentoring 150+ students in web technologies and SQL, improving assignment performance by 25% and reducing submission errors by 30%.

US

Cloud Systems Engineer & Project Lead

Universal Selfcare

Dec 2025 - Jan 2026 (1 month)

Engineered a GCP-based serverless backend achieving 95% test coverage within a rapid 4-week development cycle. Coordinated technical delivery with 5 developers to ensure 100% on-time MVP delivery.

CSG International logoCI

Software Developer

Feb 2023 - Aug 2024 (1 year 6 months)

Developed core features for Customer Connect agent desktop and collaborated on agile SDLC to reduce post-release defect rates by 20% for global telecom clients.

Education

Degrees, certifications, and relevant coursework

Rutgers University - New Brunswick logoRB

Rutgers University - New Brunswick

Master of Science, Computer Science

Grade: 3.71/4.0

Master's in Computer Science with a GPA of 3.71/4.0.

ME

MVJ College of Engineering

Bachelor of Engineering, Computer Science

Grade: 9.1/10

Bachelor's in Computer Science with a GPA of 9.1/10.

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