Avijit Hore

Avijit Hore

Cloud & AI/ML Architect

16+ Years Experience • Cloud • Data • Generative AI • MLOps
● Senior-Level Talent
Experience 16+ Years
Current Role MLOps Consultant
Domain AI / Cloud / Supply Chain
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Professional Summary

  • Results-driven Cloud & AI/ML Architect with 16+ years of experience across Cloud, Data, and AI platforms.
  • Specialized in designing and deploying enterprise-grade solutions across Retail, Manufacturing, and Supply Chain Management domains.
  • Extensive expertise in Generative AI, MLOps, LLMOps, and Data Engineering.
  • Hands-on experience with Azure OpenAI, Azure ML, LangChain, RAG pipelines, LangGraph, and CrewAI.
  • Experienced in building intelligent assistants, forecasting platforms, multilingual bots, and AI-driven decision-support solutions.
  • Strong expertise in Kubernetes, AKS, Docker, Azure DevOps, Databricks, Vector DBs, and Graph DBs.
  • Experienced in delivering AI solutions from PoC and MVP stages through scalable production deployments.
  • Skilled at integrating AI, data engineering, and cloud-native architectures to support enterprise transformation.
  • Strong experience in AI roadmapping, CXO advisory, client workshops, solution accelerators, and enterprise adoption.
  • Proven ability to design scalable, reliable, production-ready AI and MLOps platforms.

Work History

Infosys — Digital Supply Chain

MLOps Consultant
Nov 2021 – Present
  • Implemented LLMOps and MLOps best practices by deploying scalable GenAI applications on Azure Kubernetes Service and Azure ML.
  • Developed modular REST APIs using Spring Boot and implemented embedding pipelines using FAISS and Pinecone.
  • Optimized hybrid semantic search solutions for enterprise knowledge retrieval.
  • Automated deployments using Azure DevOps CI/CD pipelines with Kubernetes and Docker.
  • Implemented monitoring frameworks for model drift, accuracy decay, and pipeline performance.
  • Led data engineering and advanced analytics initiatives using Databricks, Vector DBs, and Graph DBs.
  • Implemented continuous training and evaluation pipelines using Azure ML, Databricks, and Kubernetes.
  • Delivered executive workshops, PoCs, and solution accelerators including Visual Search Agents, Hyperlocal Promotions, and Graph-based Decision Engines.
  • Mentored 15+ engineers on GenAI, MLOps, AKS, data pipelines, versioning, testing, and quality assurance.
  • Designed a GPT-4 + LangChain forecasting engine delivering 35% accuracy improvement and 20% stockout reduction.
  • Built a supplier risk engine delivering approximately $5M in cost savings.
  • Developed multilingual warehouse assistant bots automating approximately 80% of inbound queries.
  • Built Agentic AI frameworks using LangGraph, OpenAgents, CrewAI, and AutoGen for intelligent routing and orchestration.

TCS — Digital Supply Chain

Cloud Solution Architect
Nov 2014 – Oct 2021
  • Optimized Databricks Spark jobs using partitioning, caching, and broadcast joins, improving pipeline runtimes by 35%.
  • Reduced infrastructure costs through optimized Spark processing and data engineering practices.
  • Collaborated with data scientists to create feature stores using Delta Lake.
  • Operationalized ML forecasting models in Azure ML using model versioning, retraining, and monitoring.
  • Deployed containerized ML services on AKS using Docker and Helm charts.
  • Established monitoring and alerting frameworks for model drift, performance degradation, and pipeline failures.
  • Integrated Databricks, Azure ML, and Kubernetes to establish reproducible and governed MLOps workflows.
  • Mentored teams on CI/CD automation, model lifecycle management, and data quality assurance.
  • Integrated ERP systems including Oracle and SAP with Azure Data Lake for real-time analytics.
  • Built and managed 50+ Azure Data Factory pipelines with parameterization, error logging, and retry logic.
  • Reduced manual intervention by 80% through automated data pipeline processes.
  • Developed PySpark notebooks to transform JSON, CSV, and Parquet datasets into curated Delta tables.
  • Designed raw, curated, and consumption data zones across ADLS and Databricks.
  • Integrated Synapse Analytics and Power BI for operational and strategic dashboards.
  • Enabled real-time streaming analytics using Databricks Auto Loader.
  • Implemented CI/CD pipelines for ADF and Databricks using Git and Azure DevOps.

Cognizant — BFSI Technology Consulting

Technology Lead
Sep 2009 – Nov 2014
  • Designed legacy-to-modern system migration strategies following M&A activities.
  • Ensured business continuity across BFSI technology platforms during transformation initiatives.
  • Built a tax form generation system on mainframe platforms for regulatory compliance.
  • Strengthened audit readiness and legal adherence through enterprise compliance solutions.
  • Integrated a new payment gateway for a US bank.
  • Enabled secure and scalable card transaction processing across multiple channels.
  • Developed Databricks data pipelines for financial transactions and compliance data.
  • Improved accuracy and timeliness of financial reporting.
  • Implemented Azure DevOps CI/CD pipelines for applications, Databricks notebooks, and infrastructure deployments.
  • Deployed Azure-based solutions for data storage, analytics, and application hosting.
  • Authored functional and technical documentation for enterprise rollouts and knowledge transfer.
  • Conducted global stakeholder workshops to align transformation programs with measurable business KPIs.

Skillsets

Generative AI LLMs GPT-4 Claude Mistral LLaMA LangChain LlamaIndex Haystack Semantic Kernel LangGraph CrewAI AutoGen OpenAgents MetaGPT RAG Prompt Engineering Fine-Tuning LLMOps MLOps Azure Architecture Azure OpenAI Azure ML AKS Databricks Azure Data Factory Synapse Azure DevOps Python PySpark Docker Kubernetes CI/CD FAISS Pinecone Weaviate Chroma Azure Cognitive Search Graph DB Data Engineering AI Roadmapping CXO Advisory

Applications & Tools

Cloud & Data Platforms
Microsoft Azure Azure OpenAI Azure ML Azure Databricks Azure Data Factory Azure Synapse ADLS
AI & LLM Frameworks
LangChain LangGraph CrewAI AutoGen LlamaIndex Haystack Semantic Kernel
DevOps & Infrastructure
Azure DevOps Docker Kubernetes AKS Helm CI/CD Git
Vector & Search
FAISS Pinecone Weaviate Chroma Azure Cognitive Search
Development & Analytics
Python PySpark Databricks Power BI Spring Boot

Certifications

  • Microsoft Certified: Azure Solutions Architect Expert
  • AI/ML Foundations & Prompt Engineering — Internal (Infosys)
  • Power BI Certified
  • Advanced Excel Certified

Notable Achievements

  • Improved forecasting accuracy by 35% using a GPT-4 + LangChain forecasting engine.
  • Reduced stockouts by 20% through AI-powered forecasting.
  • Delivered approximately $5M in cost savings through a supplier risk engine.
  • Automated approximately 80% of inbound warehouse queries using multilingual AI assistants.
  • Contributed to multi-million-dollar GenAI adoption through executive workshops, PoCs, and solution accelerators.
  • Mentored 15+ engineers on GenAI, MLOps, AKS, data engineering, testing, and quality assurance.
  • Improved Databricks pipeline runtimes by 35% through Spark optimization.
  • Built and managed 50+ Azure Data Factory pipelines.
  • Reduced manual intervention by 80% through automated data pipeline processing.
  • Developed Agentic AI frameworks using LangGraph, OpenAgents, CrewAI, and AutoGen.
  • Enabled real-time analytics using Databricks Auto Loader and Synapse Analytics.
  • Delivered AI solutions spanning forecasting, visual search, warehouse automation, supply-chain intelligence, and risk detection.

Education

Bachelor of Technology — Electronics & Instrumentation Engineering
West Bengal University of Technology, Kolkata, India • 2008
Candidate profile presented by Ace Technologies • AI / Cloud / Data Engineering Talent