About
Aditya Katheeth
AI & Data Engineer · LLM Systems · ML Infrastructure · Applied AI Research
I'm a senior AI & data engineer with 8+ years building production-grade data systems and 3+ years engineering LLM pipelines, multi-agent architectures, and ML data infrastructure at enterprise scale.
Most recently I led the design and deployment of four production AI systems — a Snowflake Cortex multi-agent platform, a real-time NLP sentiment pipeline, an anomaly detection engine, and a booking intelligence system — with outputs consumed at VP level across three business units.
I'm finishing an M.S. in Artificial Intelligence and applying for doctoral programs. My research interest is algorithmic fairness in deployed ML — what happens to real people when imperfect models reach production, and what engineers can do about it before they ship.
The Journey
Where I've been, where I'm going
Now
Senior AI & Data Engineer
Architecting and shipping production AI systems — multi-agent LLM platforms on Snowflake Cortex, real-time NLP pipelines, anomaly detection, and predictive intelligence. Outputs consumed at VP level across three business units. Full ownership across the model lifecycle: data ingestion, feature engineering, CI/CD, drift detection, and long-term performance monitoring.
Agentic AILLM SystemsMLOpsProduction ReliabilityEarlier
Data Engineering at scale
Several years building the foundation that production ML depends on — event-driven ETL pipelines, multi-cloud ingestion frameworks, dimensional data models, and the unglamorous data quality work that keeps everything downstream honest. Across hospitality, consulting, and SaaS contexts.
SnowflakeAirflowAzureData QualityPipeline ArchitectureBeginning
Database engineering
Cloud migration projects — moving hosted applications onto AWS, designing scalable data pipelines and dimensional models that supported business intelligence and planning workflows. Where I learned that reliable data is harder than fast data.
AWSData ModelingBIMigration
Education
What I studied
M.S. Artificial Intelligence
University of the Cumberlands
Graduating Aug 2026 · PhD Applicant
M.S. Data Analytics
Clark University
B.Sc. Information Technology
University of Mumbai
Skills
What I work with
AI / ML Engineering
MLOps & Model Lifecycle
Data Engineering
Cloud & Data Platforms
Programming
Infrastructure & DevOps
Security & Governance
Research
In touch
Let's talk
Engineering work, research collaborations, and audit consultations all welcome. Currently in Boston, MA.