AKK.
Innovating with Responsible AI & GenAI

Atul Kumar Katiyar

Lead AI/GenAI Engineer with 16+ years experience architecting sophisticated multi-agent systems and enterprise RAG solutions.

Atul Kumar Katiyar

Designing the future
with Intelligent AI

As a Lead Engineer at Hashicorp (An IBM Company), I specialize in operationalizing AI and mapping complex requirements to cutting-edge implementations.

With over 16 years in the industry, my journey has spanned across global MNCs like IBM, Noreda Bank, and Luxoft, focusing on high-performance data processing and sophisticated GenAI architectures.

Expertise & Skills

A comprehensive overview of my technical proficiency in AI, Machine Learning, and Data Engineering.

Statistical and ML Modeling

Advanced Deep LearningArchitecture DesignNLPMultimodal AIGenAI (Llama, Gemini, Claude)Prompt EngineeringRAGEthical AIData Privacy

Technical Skills

PythonRSQLBashSnowflakeDatabricksPyTorchTensorflowScikit-LearnAzure MLGCP Vertex AISparkMLOpsKubernetes

Agentic AI

LangGraphLangchainLangsmithOpenAIGoogle ADKVertexAI Agent BuilderCrewAIMCPA2AAWS Bedrock AgentCore

Professional Journey

11/2021 – Present

Lead Engineer

Hashicorp (An IBM Company)
  • Developed a multi-agent system with Vertex AI Agent Builder to create specialized agents for Sales, revenue and customer churn.
  • Utilized Agent to Agent (A2A) protocol and an MCP server to provide a unified data access interface.
  • Architected Cloud Run and Cloud Functions for renewal analysis and revenue forecasting.
  • Developed AI Chatbot integrating Product knowledge base with Vertex AI search and Snowflake (RAG platform).
03/2018 – 10/2021

Senior Data Consultant

Nordea Bank Poland
  • Performed analysis for business use cases with Transformations, PCA, SVD, and Manifold learning.
  • Integrated Apache Spark based NLP pipelines to analyse customer service transcripts (17% rise in resolution rates).
  • Designed and maintained enterprise Data Lakes and Datawarehouses in Snowflake.
  • Championed the adoption of Azure Data Factory for automated data flows.

Selected Projects

Innovative solutions ranging from research initiatives to enterprise-level AI deployments.

View All
R&D EffortLSTMRNNAzurePyTorch

Retail sales forecasting using LSTM

Demonstrated a reference CI/CD architecture for training, deploying, and serving Pytorch-based deep learning AI models in Azure using LSTM networks.

R&D EffortAzure OpenAILangGraphMulti-Agent

Multi Agent workflow - Generative AI

Build a lightweight, multi-agent system around chat models that customizes the research process and report generation with human-in-loop, Controllability and Long term memory.

Get in Touch

Interested in collaborating on AI/GenAI projects or discussing data engineering solutions? Feel free to reach out.