Hritthik Bose

Senior AI Engineer — Client: Publicis Resources

• Lead architecture and delivery of enterprise AI workflow automation platforms built on Python-first agentic AI frameworks and cloud-native deployment infrastructure.
• Delivered an AI-powered onboarding automation system for enterprise Excel transformation workflows using Microsoft Agent Framework, cutting manual onboarding effort through automated schema alignment, intelligent matching, and human-in-the-loop validation.
• Engineered a multi-stage matching pipeline combining exact, fuzzy, and LLM-based semantic matching to improve transformation accuracy while minimizing unnecessary AI calls.
• Built finance workflow integration APIs with FastAPI, Python 3.12, and AutoGen to automate procurement, budgeting, OCR extraction, and enterprise document processing.
• Designed AI agents for budget auto-population, purchase requisition automation, OCR extraction, and financial summarization, integrated with enterprise databases and Azure services.
• Implemented enterprise deployment workflows with Azure DevOps and GitHub Actions for Kubernetes-based internal AI microservices.

Technologies: Python, FastAPI, AutoGen, Microsoft Agent Framework, Azure OpenAI, Kubernetes, Docker, Azure DevOps, GitHub Actions, Azure Key Vault, Azure AI Search, SQL

AI Engineer, Cloud Engineer

• Led end-to-end deployment of the "Horizon AI" enterprise platform used by 14,000+ employees, enabling secure AI-powered enterprise knowledge retrieval and workflow assistance.
• Architected scalable RAG ingestion pipelines for large SharePoint repositories, implementing chunking, indexing, semantic retrieval, and hybrid search workflows.
• Built a multi-cloud LLM orchestration framework integrating Azure OpenAI, AWS Bedrock, and GCP Vertex AI to support flexible model routing and reduce vendor dependency.
• Designed secure AI retrieval workflows with RBAC-enabled access control for sensitive enterprise data and compliance-aware information access.
• Partnered with engineering and business stakeholders to improve AI usability, adoption, and production readiness across enterprise teams.
• Optimized platform scalability and retrieval performance by resolving latency bottlenecks and iterating on production architecture decisions.

Technologies: C#, .NET 8, Semantic Kernel, Blazor, Azure OpenAI, AWS Bedrock, GCP Vertex AI, Docker, Azure AI Search, CosmosDB, Apache Tika, Python

Hanu Softwares (acquired by Insight) (Jul 2022 - Mar 2023)

Cloud Engineer

• Contributed to hybrid cloud product development initiatives across Azure and AWS environments.
• Supported enterprise application development and cloud deployment workflows for internal product solutions.

Technologies: Azure, AWS, React.js, C#, Azure SQL Elastic Pool

HighRadius (Jan 2021 - Oct 2021)

Software Engineer & Functional Consultant (Internship)

• Developed full-stack application features using React.js and Java for enterprise financial workflows.
• Built a RandomForest-based ML model to predict customer payment behavior.
• Worked directly with enterprise clients to gather requirements, configure workflows, prioritize feedback, and support successful product delivery.

Technologies: React.js, Java, Python, Pandas, Scikit-learn, SQL, Git, Agile