Vamsi Panchada
@vamsipanchada
I build production AI orchestration platforms and large-scale data pipelines.
What I'm looking for
At Teikametrics, I lead the architecture and productionization of Ask ARI, a distributed multi-agent AI orchestrator built with LangGraph. I designed a production-ready business intelligence platform with parallel agent execution, enterprise authentication, real-time streaming, and model-agnostic LLM support.
I also own critical Spark-based processing and publishing pipelines on the Sangam Data Platform, improving reliability, performance, observability, and resource utilization across analytics and reporting workloads.
Previously at Crayon Data, I built Azure-based Spark and Airflow pipelines processing 60GB to 300GB+ datasets and created a reusable Python AI framework for consistent agent orchestration. I'm passionate about building intelligent, scalable systems that bridge data engineering and applied AI.
Experience
Work history, roles, and key accomplishments
Authored architecture for transitioning a legacy AI assistant into a distributed multi-agent orchestration platform using LangGraph. Designed and delivered a production-ready multi-agent business intelligence platform with parallel execution, enterprise authentication, real-time streaming, and observability.
Associate Engineer - Data
Crayon Data
Aug 2023 - Jun 2025 (1 year 10 months)
Designed and built batch data pipelines from scratch using Spark and Airflow on Azure, processing datasets from 60GB to 300GB+. Owned Airflow DAGs end-to-end and developed a reusable Python AI framework for agent orchestration.
Education
Degrees, certifications, and relevant coursework
SASTRA University
Bachelor of Technology, Information & Communication Technology
2019 - 2023
Pursued a Bachelor of Technology in Information & Communication Technology from 2019 to 2023.
Availability
Location
Authorized to work in
Job categories
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