About Me

Abhiram Adabala

I am a computer science engineering student focused on building real-world systems that work under production constraints. My work spans backend engineering, cloud infrastructure, and applied AI systems.

What I Work On

• Designing and building scalable backend services
• Implementing secure multi-tenant SaaS architectures
• Developing real-time and batch AI pipelines using LLMs, speech, and vision
• Deploying and operating containerized systems on cloud platforms

Technical Focus

• Backend: FastAPI, .NET, Node.js, REST APIs, Microservices, Async I/O
• Databases: PostgreSQL (RLS, optimization), MongoDB, Redis
• Cloud & DevOps: AWS (EC2, S3, RDS), Docker, Kubernetes, CI/CD
• AI Systems: LLMs, RAG, multi-agent systems, STT/TTS, computer vision
• Frontend (when required): React, TypeScript

Experience Summary

• Software Engineering Intern working on production multi-tenant SaaS systems with strict data isolation and security requirements
• AI Product Intern building automated audio and video generation pipelines end to end
• AI Researcher developing low-latency, multi-modal conversational AI systems
• SDE Intern contributing to enterprise backend services and device-control workflows

Hackathon Strengths

• Rapid problem decomposition and system design
• End-to-end execution from idea to deployment
• Strong debugging, performance, and reliability focus
• Comfortable working independently or leading technical execution in small teams

What I Bring to a Team

• Strong fundamentals with practical implementation
• Clear architectural thinking under time pressure
• Bias toward shipping working systems
• Minimal overhead, results-driven execution

Location: Bangalore, India
GitHub: https://github.com/AbhiramVSA
LinkedIn: https://linkedin.com/in/abhiramadabala