Active @ Microsoft

Balaji Sivakumar

Software Engineer on the Azure Physical Networking team, delivering reliable backend components and internal tooling for hyperscale networking environments.

Background

Software Engineer on the Azure Physical Networking team, delivering reliable backend components and internal tooling. Skilled at transforming ambiguous problem statements into measurable MVPs, instrumenting changes end-to-end, and standardizing build readiness for faster, safer releases.

Actively expanding expertise in Artificial Intelligence and deepening knowledge of network engineering within Azure’s hyperscale networking environment. Maintains a lifetime quest of technological improvement.

Technical Experience

Software Engineer, Azure Networking

Microsoft· Mar 2025 — Present
  • Led development and delivery of network automation and AI-powered platforms supporting Azure Physical Networking, improving operational efficiency and engineering productivity.
  • Owned the Cisco Nexus LinkTesting initiative from design through deployment, building automated validation workflows to enhance network device qualification and reduce manual verification.
  • Designed and implemented secure agent-based architectures using Zero Trust principles, threat modelling, and authorisation frameworks for cloud-scale automation platforms.
  • Drove production incident response and operational excellence during DRI rotations, collaborating across global teams to resolve complex networking and infrastructure issues.
  • Applied AI/LLM technologies to build intelligent assistants and automation capabilities that streamlined engineering workflows and accelerated issue resolution.
  • Translated business requirements into scalable technical solutions supporting Azure's global networking infrastructure across engineering, security, and product stakeholders.

Software Engineer, Solutions Team

Zinier Technologies· Sep 2021 — Aug 2023
  • Drove web application development for a fast-growing field service automation company, delivering optimised and scalable features for enterprise clients.
  • Built new pages, workflows, and platform customisations using ReactJS, AngularJS, Redux, JavaScript, and asynchronous request handling.
  • Collaborated directly with Solution Delivery and QA leads to translate customer expectations into shipped resolutions.
  • Maintained relationships with external partners including Midco, Black & Veatch, Community Fibre, and Toshiba.
  • Wrote maintainable code and reusable components, reducing debugging time by 25% and improving developer velocity.

Software Developer, Full Stack

Softura Technologies· Mar 2021 — Aug 2021
  • Owned end-to-end delivery of applications built with React, ASP.NET MVC, and MS-SQL Server, rapidly ramping across new technologies.
  • Contributed to architectural design, performance and security strategy, and third-party API/SDK integration.
  • Shipped 10+ Agile applications, achieving a 25% improvement in application performance.
  • Practised test-driven development with thorough unit tests and documentation, reducing bugs by 30%.
  • Introduced route-based code splitting and stack upgrades, cutting crash rates by 18% and doubling deployment speed.

SELECTED PROJECT WORKS

Research and engineering projects focused on security, intelligence, and system efficiency. Filter by category.

Full StackSept 2024 — Dec 2024

E-Commerce Book Store ASP.NET Core (NET 9.0)

Full-stack e-commerce book store built with ASP.NET Core 9.0, featuring product catalog, shopping cart, order management, and SQL Server persistence.

.NETAlgorithmsC#SQL ServerWebApp
AI/ML / SecurityApr 2024 — Aug 2024

Microservices Security Analysis using Deep Learning

Identified OWASP Top 10 vulnerabilities during monolithic-to-microservice decomposition using Mono2Micro, SonarQube, Snyk, and Docker Scout. Built VulDeepScannerMonoMicro, a deep-learning system that significantly improved detection of complex security issues across both architectures.

PythonDeep LearningSnykSonarQubeDocker
AI/MLFeb 2021 — Mar 2021

Sentiment Analysis using Machine Learning

Live Twitter data extraction, pre-processing, and feature extraction with Naive Bayes, SVM, and TF-IDF. Best-performing model was integrated into a Telegram bot that also answered COVID-19 queries from users.

PythonScikit-learnTelegram APINLP
Full StackNov 2020 — Dec 2020

TruckDesk

Replaced traditional paper records for logistics operators with a secure, automated system that calculates truck- and driver-related details and maintains all fleet data per service provider.

C#.NETSQL ServerWeb

Skill Stack

Languages

  • C#
  • Python
  • JavaScript
  • TypeScript

Frameworks

  • .NET Core
  • ASP.NET MVC
  • Web API
  • Spring Boot
  • React

Data

  • Microsoft SQL Server
  • KQL
  • MySQL
  • MongoDB
  • NoSQL

Others

  • Azure
  • CI/CD Pipelines
  • RESTful API Design
  • System Design
  • Agile Software Development Lifecycle
  • Postman

Get in touch

Interested in website development, software development, mobile app development, cloud security, or software engineering excellence? Let’s connect.

equinoxbalaji@gmail.com

Expected response time: < 24 hours