Telemetry — Career Data
DRIVER: A. NOOKALATEAM: AI ENGSTATUS: RACING

Experience

Career timeline

POSITIONS4 roles
CURRENT2 active
SPAN2021 – PRESENT
S1LIVE
YEAR2026
STACK10 PKG
STATUSACTIVE
LOCATIONREMOTE
PACKAGES10 installed
  • ▸Constructed core inference stack for sovereign multilingual LLM deployment, packaging custom Docker images via BuildKit and serving models as dedicated pods alongside vLLM/TGI on enterprise hardware
  • ▸Deployed FastAPI serving layers for open-source multilingual models, orchestrating containerized inference servers optimized for enterprise workload throughput
  • ▸Instrumented observability with Langfuse, LangSmith, and Grafana monitoring e2e latency, token usage, and TTFT; RouteLLM router selected optimal model 80% of the time
DockerBuildKitvLLMTGIFastAPILangfuseLangSmithGrafanaRouteLLMPython
View OPEA contributions (arpannookala-12)
S2LIVE
YEAR2025
STACK8 PKG
STATUSACTIVE
LOCATIONAUSTIN, TX (REMOTE)
PACKAGES8 installed
  • ▸Architected ScoutGPT, an agentic AI platform using LangChain over a DuckDB OLAP engine, enabling conversational search, analysis, and report generation across 200M+ rows of structured and geospatial data
  • ▸Engineered ETL pipelines from Snowflake through Dagster to DuckDB/MotherDuck, orchestrating data ingestion and geospatial enrichment workflows for downstream OLAP consumption
  • ▸Implemented context engineering pipelines with DuckDB handling geospatial workloads, replacing traditional PostGIS dependencies for faster analytical query execution
LangChainDuckDBMotherDuckDagsterSnowflakeFastAPINext.jsPython
S3
YEAR2024
STACK7 PKG
S4
YEAR2021
STACK5 PKG