Work Experience

• Oct 2025 – Present

  Current

  Software Engineer · Azure

  Microsoft

  Working on the security and reliability of Azure cloud services. I build AI-driven tooling that helps detect, prevent, and shorten outages across the platform that powers millions of customer workloads.

  • Strengthen the security posture and reliability of core Azure services that serve customers worldwide.
  • Design and ship AI tools that turn telemetry, incidents, and operational signals into early-warning systems for outages.
  • Use LLM-driven analysis to triage incidents faster, surface root causes, and recommend mitigations to on-call engineers.
  • Drive automation that reduces manual toil and shortens mean-time-to-detect (MTTD) and mean-time-to-mitigate (MTTM).
  • Collaborate across reliability, security, and platform teams to harden services at hyperscale.
• Aug 2025 – Sep 2025

  Software Engineer

  TC

  ThoughtClan Technologies

  Focused on building ML/AI solutions with cutting-edge technologies like LLMs, SLMs, and RAG.

  • Built a web scraper and crawler using Selenium and BeautifulSoup to gather data from various sources for an internal knowledge base that powers a flagship product.
• Sep 2024 – July 2025

  Software Engineer

  N

  Navriti Technologies

  Automated infrastructure, enhanced deployment efficiency, and ensured system reliability through cloud and DevOps solutions.

  • Built CI/CD pipelines using GitHub Actions, eliminating manual deployments and accelerating the release cycle.
  • Automated movement of development code to the QA environment using cron jobs for smooth code transitions.
  • Set up Kubernetes clusters with auto-healing and auto-scaling for UAT and Production, achieving 99.9% uptime.
  • Implemented Ansible-based automation for server configuration and management, reducing manual effort by 80%.
• July 2023 – July 2024

  Software Developer

  IBM

  Designed and implemented solutions to address critical business challenges.

  • Developed a robust document validation pipeline, automating document integrity checks for seamless business operations.
  • Optimised database interactions using connection pooling, improving query response times by 30%.
  • Integrated large language models like LLAMA 3 and Mistral into IBM's chatbot, enhancing AI-driven interactions.
  • Improved deployment efficiency by up to 40% via Docker containerisation for scalable application deployment.
• Jan 2023 – Jun 2023

  Software Developer Intern

  IBM

  Developed a tool to translate Electronic Data Interchange (EDI) formats into human-readable English using NLP and language models.

• May 2022 – Aug 2022

  Research Intern

  NIT

  National Institute of Technology, Trichy

  Researched AI-driven language models for legal text classification and synthetic data generation.

  • Developed a robust NLP model using Hugging Face transformers for legal text classification.
  • Generated high-quality synthetic legal data using GPT-3, open-sourcing 47,000+ data points for further research.
  • Fine-tuned open-source language models and benchmarked them against OpenAI's state-of-the-art models.