Headline

Azure Identity Engineer @ Microsoft | Cybersecurity in the age of AI: Identity, Cloud & securing AI agents | (ISC)² Associate

About

I'm an Azure Identity support engineer at Microsoft working on the problems that don't have clean answers, identity incidents across Entra ID, least-privilege enforcement across RBAC/PIM, and hybrid-identity failures spanning Entra Connect, AD trusts, and Conditional Access. Before Microsoft, I was a detection engineer at Securonix, where I authored and improved YAML detection content mapped to MITRE ATT&CK and built automations that raised detection test coverage from 50% to 80% and caught critical policy errors before they reached production. I've also shipped AI-driven compliance automation for a UK healthcare client and co-authored an IEEE-presented paper (TinyDNABERT). What I bring: identity-threat investigation, least-privilege design, detection engineering, and a habit of automating the root cause instead of patching the symptom. Microsoft-certified across security and Azure. Open to connecting on cloud security, identity, and detection engineering.

Location

Pune City

AI stack

claude code

claude

codex

cursor

grok

hugging face

langfuse

mcp

Work experience

Technical SE - AzureAD at Microsoft, Sep 2025 - Present · 11 mos, Pune District, • Investigate and resolve high-severity enterprise environment Entra ID identity incidents, including phishing and account compromises. • Remediate RBAC/PIM to enforce least privilege, optimizing access management across ARM and subscriptions. • Troubleshoot hybrid-identity and cross-tenant failures, providing preventative design guidance to enhance security. • Provide guidance and advisory for secure and compliant Entra configurations.

AI Solutions Architect at ProjektAnalytics. Technologies Private Limited, May 2025 - Sep 2025 · 5 mos, Remote, • Analyzed market requirements by collaborating with stakeholders and designed an AI-based regulatory compliance solution for the UK pharmaceutical industry. • Led a team of three to ensure successful implementation and adoption of the solution. • Optimized and secured the solution's Azure cloud deployment in compliance with HIPAA and EU data regulations.

Detection Engineer Intern at Securonix, Jul 2024 - May 2025 · 11 mos, Bangalore Urban, • Collaborated as a QA Engineer within the Detection & Content team for SNYPR(A SIEM by Securonix), focusing on testing detection content and security incident workflows. • Identified and reported bugs, contributing to the resolution of core platform issues and enhancing the detection content lifecycle. • Transitioned to the Detection Development team, where I built new detections/tooling and improved existing rules and content proactively via scripting and automations. • Automated the QA harness for detection content quality, streamlining the review process and enhancing internal tooling.

Summer Intern at IIT Bhubaneswar, Jun 2023 - Jul 2023 · 2 mos, Odisha, India, • Collaborated with Professor DP Dogra and M Sathpathy on research focused on COVID pattern analysis. • Developed a novel sequential estimation algorithm utilizing the Wald SPRT methodology. • Received appreciation for contributions and will be publishing the findings. • Gained hands-on experience in statistical analysis and algorithm development at IIT Bhubaneswar.

Research Intern at Samsung R&D Institute India, May 2023 - Jan 2024 · 9 mos, Bengaluru, • Collaborated with a team of three senior engineers and an associate professor on the PRISM project at Samsung R&D Institute India. • Researched and developed a state-of-the-art end to end speaker diarization solution, comparable to SpeechBrain. • Deployed the solution onto Azure, enabling near real-time speaker diarization as a service integration(SDaaS) for end users into their workflows.

Education

Diploma of Education, Data Science, Indian Institute of Technology, Madras

BTech, Computer Science, Siksha 'O'​ Anusandhan University