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Rohiths Sandanala

@rohithssandanala

AI Engineer (4+ yrs) at Airbnb & Colombo AI. Expert in Python, Rust & LLM orchestration. I build reliable, production-grade agentic systems at scale.

United States
Message

What I'm looking for

I’m looking for a fast-moving team with high ownership where I can build production-ready LLM/agentic features, reliable APIs, and scalable data pipelines, with strong emphasis on observability, CI/CD quality, and thoughtful system design.

My career is defined by a "Production-First" approach to AI. I began my journey as a Full Stack Developer at Cardinal Health, where I built the foundational skills in enterprise-grade microservices using Java and Spring Boot. This taught me the importance of reliability and security long before the current AI boom.

As the industry shifted, I transitioned into specialized Gen AI roles at Airbnb and most recently at Colombo AI. At Airbnb, I learned how to integrate LLMs into massive, consumer-facing product experiences where latency and release stability are non-negotiable. At Colombo AI, I stepped into a high-ownership startup role, designing the core backend architecture (Node.js/TypeScript) for scalable AI features and building the system layers that allow AI agents to interact reliably with structured data.

Key Achievements

  • Scalable AI Orchestration: Successfully built and deployed LLM-integrated backend systems using FastAPI and Rust, focusing on inference services that power real-time application workflows.

  • Production Reliability: Implemented comprehensive MLOps and observability pipelines (Langfuse-style) to monitor production AI workloads, ensuring that agentic behaviors remain deterministic and reliable.

  • Full Stack Versatility: Developed end-to-end features—from high-performance backend APIs to responsive React/TypeScript frontends—ensuring a seamless bridge between complex AI logic and user-facing dashboards.

  • Continuous Excellence: Earned several industry-leading certifications, including the AWS Machine Learning Specialty and Oracle Generative AI Professional, to stay at the cutting edge of model deployment and data governance.

Technical Interests & Philosophy

I am deeply interested in the evolution of Agentic Workflows—moving beyond simple chat interfaces to systems that can autonomously reason, use tools, and self-correct. I am a proponent of using Rust for system-level optimizations and Python/TypeScript for rapid API development.

My goal is to work with teams that are moving past the "AI hype" phase and are focused on the engineering rigors of building secure, PII-compliant, and observable AI products. I thrive in environments that value high-ownership, clean code, and the ability to translate ambiguous product requirements into production-ready systems.

Experience

Work history, roles, and key accomplishments

MS
Current

AI Software Engineer

Micro1 Software

Jan 2026 - Present (5 months)

Developed LLM-integrated backend systems using FastAPI, including production inference services and structured API orchestration for AI-driven workflows. Designed data pipelines for structured/unstructured processing at scale, built Python/Rust internal automation and evaluation tools, and implemented monitoring and logging for production reliability.

CT

Full Stack Engineer

Clean Choices Together

Mar 2024 - Oct 2024 (7 months)

Built full-stack applications supporting user-facing workflows and operational systems, including backend APIs for structured data processing and application logic. Developed React-based dashboard interfaces and deployed AWS containerized services with implemented authentication, authorization, and secure access control.

CC

Full Stack Engineer

Clean Choices Together (CCT)

Mar 2024 - Oct 2024 (7 months)

Built full-stack applications supporting user workflows and operational systems, including backend APIs for structured processing and application logic. Developed React dashboards, deployed AWS containerized services, and implemented authentication/authorization with secure access control.

CH

Full Stack Developer

Cardinal Health

Jan 2022 - Aug 2023 (1 year 7 months)

Developed backend microservices using Java and Spring Boot for enterprise systems, including REST APIs supporting internal workflows and data operations. Contributed to CI/CD and deployment automation, improved reliability through debugging and production issue resolution, and maintained service and system architecture documentation.

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology logoST

SRM Institute of Science and Technology

Bachelor of Science in Computer Science, Computer Science

Earned a Bachelor's Degree in Computer Science from SRM IST in Chennai, India.

University of South Florida logoUF

University of South Florida

Master of Science in Computer Science, Computer Science

Earned a Master's Degree in Computer Science from the University of South Florida in Tampa, USA.

SRM Institute of Science and Technology logoST

SRM Institute of Science and Technology

Bachelor’s Degree in Computer Science, Computer Science

Earned a Bachelor's Degree in Computer Science at SRM IST in Chennai, India.

University of South Florida logoUF

University of South Florida

Master’s Degree in Computer Science, Computer Science

Earned a Master's Degree in Computer Science at the University of South Florida in Tampa, USA.

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