Headline

Data Scientist @Diggibyte Technologies | Databricks Certified ML Associate | Specializing in Predictive Analytics & Agentic AI Systems

About

I am a Data Scientist focused on architecting scalable machine learning pipelines and multi-agent GenAI systems. Currently at Diggibyte Technologies, I design production-grade AI applications that solve complex enterprise challenges—from automating retail demand forecasting to deploying conversational BI workflows. Leveraging a strong engineering foundation from Vellore Institute of Technology, I specialize in building stateful multi-agent architectures (LangGraph, MCP), advanced RAG pipelines with cross-encoder reranking, and full-stack AI applications. With deep expertise in Databricks MLOps and Azure OpenAI, my focus is advancing beyond traditional predictive ML to architect autonomous, agentic AI systems—orchestrating workflows that execute complex, high-impact enterprise tasks in governed production environments.

Location

Pehowa

AI stack

langchain

langgraph

langsmith

Guardrails AI

LlamaIndex

Pinecone

Work experience

Data Scientist at Diggibyte Technologies, Jun 2025 - Present · 1 yr 4 mos, Bengaluru, • 𝗚𝗼𝗱𝗿𝗲𝗷 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Architected and deployed 10 distinct ML pipelines (NCF, XGBoost, CausalML) to optimize retail operations and isolate advisor ROI. Orchestrated execution via Databricks Jobs, enforcing Unity Catalog governance and routing predictions to enterprise SQL Servers. • 𝗛𝗲𝗺𝗮𝘀 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗖𝗜/𝗖𝗗: Replaced static BI dashboards with conversational AI using Databricks Genie and Agents. Engineered Azure DevOps CI/CD pipelines to automate Genie space migration from Dev to Prod, ensuring data integrity. • 𝗗𝗼𝗺𝗮𝗶𝗻-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁𝘀 (𝗥𝗲𝘁𝗮𝗶𝗹, 𝗘𝗱𝗧𝗲𝗰𝗵, 𝗣𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁): Developed an AI sales forecasting agent (LangGraph/Databricks Genie) on Unity Catalog; architected a full-stack educational analytics platform with automated document parsing to Delta tables; and built an intelligent vendor scoring system for automated procurement evaluation. • 𝗥𝗮𝗽𝗶𝗱 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲: Architected and evaluated 10+ additional Proofs of Concept, rapidly deploying multi-agent architectures and LLM pipelines to assess viability for production scaling.

Data Scientist Intern at ETEX SERVICES NV, Aug 2023 - Nov 2023 · 4 mos, Belgium, 𝗥𝗮𝗽𝗶𝗱 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴: Spearheaded the development of an internal Generative AI chatbot Proof of Concept leveraging Azure AI Foundry, demonstrating agility in deploying LLMs within a strict 90-day sprint.

Education

Bachelor of Technology, Computer Engineering, Vellore Institute of Technology

Public links

github: https://github.com/khushchadha

medium: https://medium.com/@khushchadha03