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Nanjundeshwara K

@nanjundeshwarak

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Azure Cloud & ML engineer building scalable real-time AI systems.

India

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What I'm looking for

I’m looking for a role where I can build Azure cloud-native systems and deploy real-time ML/LLM solutions. I want strong engineering ownership, CI/CD-driven delivery, and opportunities to improve data automation, APIs, and performance.

I’m an Azure-certified Cloud & ML Engineer who builds scalable cloud-native applications and real-time ML systems. I focus on turning data into dependable services—shipping features that work end to end, from model logic to APIs.

In my internships, I developed a real-time Traffic Accident Prediction system using Random Forest, XGBoost, and LSTM with live data integration. I also built a Flask web application featuring Leaflet.js heatmaps and Power BI dashboards backed by SQLite/PostgreSQL.

I’ve strengthened my cloud foundation through Microsoft Azure certifications (AZ-900, AZ-204) and hands-on work with Azure Functions, App Services, CosmosDB, and Azure SQL. I implement secure REST API integrations and leverage Azure AD while building cloud-native solutions.

I enjoy automating delivery through CI/CD pipelines with Azure DevOps and containerization using Docker/Kubernetes. I’m particularly excited about deploying AI/ML solutions, including LLMs, and continuously improving performance through SQL optimization, data automation, and analytics with Power BI.

Experience

Work history, roles, and key accomplishments

Azure Training & Internship

Ballari Institute of Technology and Management

Oct 2024 - May 2025 (7 months)

Earned Microsoft Azure certifications (AZ-900, AZ-204) and applied Azure cloud architecture and security concepts to hands-on projects. Developed cloud-native applications with Azure Functions, App Services, and Cosmos DB via REST APIs and Azure AD, and built CI/CD pipelines using Azure DevOps with Docker/Kubernetes while integrating LLMs.

Microsoft Azure Azure Functions Azure Services Cosmos Azure DevOps CI CD Pipelines Docker Kubernetes REST APIs

Data Science Intern

PRASUNET

Mar 2025 - Apr 2025 (1 month)

Developed a real-time traffic accident prediction system using Random Forest, XGBoost, and LSTM with live data integration for accident likelihood and severity forecasting. Built a Flask web app with Leaflet.js heatmaps and Power BI dashboards using SQLite/PostgreSQL.

Machine Learning Real Time Predictions Random Forest XGBoost Flask Leaflet.Js Power BI SQL SQLite

Python Development Intern

EZ Technology and Training

Nov 2023 - Dec 2023 (1 month)

Worked on real-time web and ML application development using Flask, PyTorch, and TensorFlow. Built and integrated machine learning capabilities into applications for practical project delivery.

Python Flask PyTorch TensorFlow Real Time Applications REST APIs Machine Learning Web Development Git Deployment

Education

Degrees, certifications, and relevant coursework

Ballari Institute of Technology & Management

Bachelor of Engineering, Electronics and Communications Engineering

2021 - 2025

Activities and societies: Relevant coursework: Machine Learning, Cloud Computing, Data Structures, Algorithms, Database Systems.

Completed a BTech in Electronics and Communications Engineering, with coursework including machine learning, cloud computing, and database systems from 2021 to 2025.