Hi, I'm Rohith, a Software Engineer 2 at TomTom and MS in Computer Science student at Arizona State University (graduating May 2026, 4.11 GPA). I'm passionate about building scalable systems from first principles and tackling complex distributed systems problems.
Technical Skills

Languages: Python, Rust, Java, SQL, Scala
Core Competencies: Distributed Systems, Database Architecture, ML Infrastructure, Graph Algorithms, Data Pipelines
Tools & Frameworks: PySpark, TensorFlow, PostgreSQL, Neo4j, Weaviate, LangChain, AutoGen
Specialties: Production systems optimization, ETL pipeline redesign, large-scale data processing, event-driven architecture

Production Experience

Designed and deployed a graph-based building-matching engine improving accuracy from 60% to 90% across 50+ million buildings at TomTom
Redesigned PySpark ETL pipelines, reducing computational costs by $40K annually while improving data reliability
2.5+ years building and maintaining production systems at scale

Current Projects

AgentGit: Version control system for AI agent execution, applying Git semantics (branching, checkpointing, diffing) to agent workflows with framework-specific adapters for LangChain, AutoGen, and CrewAI
Distributed ML Training in Rust: Building fault-tolerant distributed training systems, exploring parameter servers and consensus algorithms

Interests & Goals

AI infrastructure, observability, and reliability at scale
Seeking Summer 2026 internships and January 2027 full-time roles in AI infrastructure and distributed systems
Building products that solve real problems at rapidly scaling companies