In my role as a Staff Engineer at Automation Anywhere, I am responsible for building distributed systems for Intelligent Document Processing and integrating them with advanced ML models. I am responsible for building the AI Studio, which supports Agentic AI Process Automation using state-of-the-art LLM models. Additionally, I am responsible for building the Native RAG solution using various cloud platforms like Amazon Bedrock, Amazon Q Business, Azure AI Foundry, Google Vertex AI, Open-Search vector databases, and other software vendors.

Focused on building and integrating multiple marketplaces across multiple regions (US, Europe, Latam) which complies with complex business configuration of large set of Buyer and suppliers communities over the Business network. The micro-services cloud architecture enables the integration of marketplaces apis in more secure and scalable way.

Focused on building AI machine learning solution using deep learning models and got opportunity to work with huge set of data.

Worked on cloud and On-Premise configurable platform which extends capability of object relational mapping, messaging framework, and many other extensible features in orders to build and implement large scale business solutions. It lays the foundation of great B2B enterprise solutions which manages supply chain processes and network of Buyer and suppliers community.

Worked and enhanced the search engine platform by building dictionary based Index over multiple types of data using advanced algorithm and Data structures (B trees, suffix tree).

Also worked on building engineering tool to correct the corrupted large inverted index file in production setup.

Learnt about virtualization products and techniques and created the automation framework for ESX virtual products.