shashank kurella

As an AI Engineer, I am driven by a highly logical and pragmatic approach, consistently applying diligence and resourcefulness to solve complex challenges. I take full accountability for my work, fueled by ambition to deliver impactful and effective solutions.

Experience

E

AI Engineer

Erangroup · Feb 2026 – Present

Not yet confirmed

• Built enterprise automation within NetSuite for warehouse operations, freight procurement, sales order processing, and supply chain workflows, reducing manual effort and improving operational efficiency.
• Developed Python and TypeScript microservices for document processing, workflow orchestration, ERP transaction management, and external system integrations; deployed containerized applications to Azure.
• Built and maintained CI/CD pipelines using GitHub Actions to automate build, test, and deployment workflows across multiple environments.
• Designed and integrated REST APIs between NetSuite, carrier platforms, and third-party logistics providers to automate freight quotation, shipment planning, and operational visibility.
• Containerized automation services using Docker and supported deployments across Azure environments to improve scalability and consistency.
• Built a centralized freight quotation platform that automates quote requests, response aggregation, carrier selection, and spot-rate management across multiple logistics providers.
• Built AI-based purchase order processing that extracts data from PDFs and images, validates SKU mappings, applies shipping rules, and generates structured ERP transactions.
• Developed document processing pipelines using LLMs and validation logic, reducing sales order creation time from minutes to seconds while improving data accuracy.
• Implemented PostgreSQL-backed persistence, audit tracking, and reporting to support reliability and traceability.
• Set up monitoring, logging, and alerting for procurement, freight management, and CRD (Critical Required Date) tracking, reducing manual oversight.
• Worked with cross-functional teams to troubleshoot production issues, support releases, and maintain reliability of business-critical systems.

N

AI & DevOps Engineer

NileTech Inc · Nov 2024 – Jan 2026

Not yet confirmed

• Designed and deployed AI-powered enterprise automation platforms using LangChain, LangGraph, OpenAI, and Azure cloud services to streamline business workflows and decision-making processes.
• Developed Python-based backend services, automation workflows, and REST APIs supporting AI agents, enterprise integrations, and workflow orchestration.
• Built Retrieval-Augmented Generation (RAG) solutions using FAISS, Pinecone, and ChromaDB to enable secure enterprise knowledge retrieval and contextual AI responses.
• Containerized applications using Docker and deployed scalable, highly available workloads on Kubernetes across development, staging, and production environments.
• Built and maintained CI/CD pipelines using Azure DevOps and GitHub Actions to automate build, testing, deployment, and release management processes.
• Automated infrastructure provisioning, environment configuration, and deployment workflows using cloud-native automation and scripting, improving release reliability and operational efficiency.
• Implemented monitoring, logging, and observability using Azure Monitor, Log Analytics, and Application Insights to support incident detection, root cause analysis, and platform health monitoring.
• Optimized Azure cloud resources, application performance, and deployment architecture to improve scalability, availability, and cost efficiency.
• Supported production environments through troubleshooting, incident resolution, deployment validation, and cross-functional collaboration to maintain platform reliability.

Azure Cloud DevOps Engineer

Genpact · Apr 2021 – Aug 2023

Not yet confirmed

• Led cloud infrastructure automation using Python and PowerShell, reducing manual provisioning effort and improving deployment consistency across Azure environments.
• Managed and optimized Azure infrastructure including AKS, App Services, Azure AD, VMSS, Application Gateway, Logic Apps, and networking services.
• Implemented Infrastructure as Code using Terraform and ARM Templates to standardize provisioning and configuration management.
• Migrated production workloads from Azure Service Fabric to Azure Kubernetes Service (AKS), improving scalability and operational resilience.
• Designed and maintained CI/CD pipelines supporting deployments across development, QA, staging, and production environments.
• Automated infrastructure management and operational workflows using scripting and cloud-native automation services.
• Implemented monitoring using Azure Monitor, Log Analytics, and Application Insights to improve incident response and visibility.
• Performed production support, root cause analysis, performance tuning, and troubleshooting for critical infrastructure and applications.
• Collaborated with architects, developers, and operations teams on cloud modernization initiatives and platform enhancements.

What drives their work

The Architect

Designs and builds robust, end-to-end automation systems that deliver tangible value.

shashank's superpower

You excel at transforming complex manual processes into efficient, scalable automated systems.

How shashank works

You thrive in teams focused on building and optimizing large-scale, impactful automation and AI-driven systems.