Prabal T.
Software Engineer @Suki
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WORK HISTORY
Software Engineer @Suki
Redwood City, CA, US
Responsible for designing, building and maintaining backend services (Go / gRPC / Protobuf) and AI / LLM infrastructure and pipelines (Iceberg, BigQuery, Airflow, Docker, Label Studio) for medical code (CPT / ICD) generation and evals.
EDUCATION
Stanford University
Master of Science, Management Science and Engineering
The Data Incubator
Fellow, Data Science
International School Bangkok
International Baccalaureate Diploma, English, Physics, Mathematics, Chemistry, Spanish, History
Vanderbilt University
B.Eng, Electrical Engineering, Mathematics
ABOUT PRABAL T.
I am an experienced, versatile and entrepreneurial Staff-level Engineer and an effective, empathetic and data driven Engineering Manager with Data Platform / Data Engineering expertise and ML / AI Engineering experience. I am passionate about Software Development, Data Systems and Machine Learning / expertise / areas of Data Engineering & Data Platform (data architecture, data lakehouse, batch and stream processing, distributed computing, data modeling, data quality and observability, data warehouse design, data access and security)- ML / AI Engineering (ML theory, architecting ML systems, building ML pipelines and services, experiment tracking and reproducibility, feature store, model deployment and monitoring, RAG, LLM evaluations and guardrails, AI Agents)- Backend Engineering (API design and development, service oriented architecture, REST, and language: Python, SQL, Go, Scala, Node.js (Typescript), Flutter (dask)AI tools: Claude Code, Cursor, Gemini CLI, ElevenLabsSome of the tools I have used recently: Iceberg, GCP Pub/Sub, BigQuery, Fivetran, Postgres, Pinecone, Looker, DBT, Airflow, Datadog, OpenLineage, OpenMetadata, GCP Vertex AI, Docker, Kubernetes, Terraform, Supabase, FirebaseOther tools used in the past: SQS/SNS, Spark, Snowflake, MLFlow, Sagemaker, Tableau, PyTorch / FastAI, FastAPI, Prometheus, Grafana
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