Ayush Gurtu

AI Engineer Intern at AsiaPac Technology Pte Ltd (from M1) – Singapore

Developed an advanced Digital Human Avatar inspired by NVIDIA, using Claude Sonnet 3.5 and Groq hardware for ultra-low latency inference, enhancing real-time client interactions and accelerating AI adoption in three business units. Designed and deployed a LinkedIn Sales Navigator-style sales agent powered by Azure OpenAI, SQL, and Cosmos DB, boosting outreach efficiency and sales productivity by 30%. Built a cost forecasting model with Azure Databricks to handle large-scale time-series data, improving budget accuracy by 35%. Deployed AI components as containerized microservices using Docker in cloud-native environments. Integrated vector search with LLM agents for Retrieval-Augmented Generation workflows, explored LangChain, MLflow, and Azure deployment orchestration.

Technical Consultant at Deloitte – India

Designed and enhanced custom SAP UI5 controls and Fiori applications with advanced styling and integration with SAP SuccessFactors EC. Developed end-to-end UI/UX solutions on SAP BTP & Cloud Foundry, improving cross-device usability and reducing UI rendering time by 25%. Built and optimized integration architectures on SAP CPI, implementing ETL pipelines, message transformations, splitters, and enrichers to streamline HR and payroll workflows. Automated complex data transformations using Groovy scripts, mapping functions, and XML/XSLT, reducing manual intervention by 40%. Received Spot Award and Applause Award for significant contributions to US-based client projects.

AI Engineer Intern at AsiaPac Technology Pte Ltd (from M1)

Developed an innovative Digital Human Avatar using Claude Sonnet 3.5 and Groq’s ultra-low latency inference, enhancing real-time client interactions and accelerating AI adoption across multiple business units. Designed and deployed an LLM-powered LinkedIn Sales Navigator-style agent combining Azure OpenAI, SQL, and Cosmos DB which improved sales productivity by 30%. Built a cost forecasting model on Azure Databricks to handle extensive time-series data, improving budget forecasting accuracy by 35%. Deployed AI components as modular microservices using Docker in a cloud-native environment. Integrated vector search with LLM agents for retrieval-augmented generation (RAG) workflows and experimented with LangChain and continuous delivery pipelines utilizing GitHub CI/CD.

Technical Consultant at Deloitte

Designed and enhanced custom SAP UI5 controls and Fiori applications with advanced styling and integrated SAP SuccessFactors Employee Central. Developed end-to-end UI/UX solutions on SAP BTP & Cloud Foundry, improving cross-device usability and reducing UI rendering time by 25%. Built and optimized integration architectures on SAP CPI, implementing ETL pipelines, message transformations, splitters, and enrichers to streamline HR and payroll workflows. Automated complex data transformations using Groovy scripts, XML, and XLST, reducing manual workload by 40%. Earned Deloitte Spot Award and Applause Award for outstanding contributions to US-based client projects.

AI Engineer Intern at ASIAPAC TECHNOLOGY PTE LTD

Developed a cutting-edge Digital Human Avatar, inspired by NVIDIA’s innovations, using Claude Sonnet 3.5 and Groq’s ultra-low latency inference, enhancing real-time client interactions and accelerating AI adoption across 3 key business units. Designed and deployed an LLM-powered LinkedIn Sales Navigator-style agent using Azure OpenAI + SQL + Cosmos DB, streamlining outreach and boosting sales productivity by 30%. Built a cost forecasting model in Azure Databricks, handling large volumes of time-series data, improving budget accuracy by 35% — applicable to predictive modeling in asset management contexts. Deployed AI components as modular microservices using containerized infrastructure (Docker) in a cloud-native environment. Integrated vector search with LLM agents for RAG workflows; explored LangChain, deployment orchestration on Azure, and continuous delivery pipelines via GitHub CI/CD.

Technical Consultant at DELOITTE – India

Designed and enhanced custom SAP UI5 controls and Fiori applications, implementing advanced styling and seamless integration with SAP SuccessFactors EC. Developed and deployed end-to-end UI/UX solutions on SAP BTP & Cloud Foundry, improving cross-device usability and reducing UI rendering time by 25%. Built and optimized integration architectures on SAP CPI, implementing ETL pipelines, message transformations, splitters, and enrichers to streamline HR and payroll workflows. Automated complex data transformations with Groovy scripts, mapping functions, and XML/XLST, reducing manual intervention by 40%. Achieved Spot Award and Applause Award issued by Deloitte for contributions towards US-based client work.

AI Engineer Intern at ASIA PAC TECHNOLOGY PTE LTD

Developed a cutting-edge Digital Human Avatar inspired by NVIDIA innovations; built an LLM-powered LinkedIn Sales Navigator-style agent using Azure OpenAI, SQL, and Cosmos DB; implemented a time-series cost forecasting model in Azure Databricks; containerized services with Docker; integrated vector search for RAG workflows; explored LangChain and Azure deployment with GitHub CI/CD.

Technical Consultant at Deloitte – India

Designed and enhanced SAP UI5 controls and Fiori applications; developed end-to-end UI/UX solutions on SAP BTP & Cloud Foundry; optimized integration architectures on SAP CPI with ETL pipelines; automated data transformations with Groovy; reduced manual intervention by 40%; awarded Spot Award and Applause Award.

AI Engineer Intern at ASIAPAC TECHNOLOGY PTE LTD (a Keppel Ltd company)

Developed a cutting-edge Digital Human Avatar inspired by NVIDIA innovations using Claude Sonnet 3.5 and Groq for ultra-low latency inference; designed and deployed an LLM-powered LinkedIn Sales Navigator-style agent using Azure OpenAI, SQL, and Cosmos DB to streamline outreach and boost sales productivity by 30%. Implemented autonomous multi-step reasoning workflows (Agentic AI) for client support and sales automation; leveraged LangChain to orchestrate multi-LLM pipelines with vector search and retrieval-augmented generation. Built self-improving AI agents learning from interaction feedback; deployed components as modular microservices in a containerized cloud-native environment.