Software Engineer with 8+ years of experience in backend development, observability engineering, and automation. Proficient in Python, cloud-native environments, and telemetry-driven systems that enhance reliability and visibility across services.
At Microsoft, I’ve led key observability initiatives, including the migration from Sumo Logic to Azure Data Explorer (ADX) for scalable log analytics and the transition from Opsgenie to Microsoft’s in-house incident management platform (ICM) to streamline alerting and on-call workflows.
I have hands-on experience with a broad range of observability tools such as Grafana (dashboards and alerting), Catchpoint (synthetic monitoring), Anodot (anomaly detection), and Sumo Logic (log-based troubleshooting), ensuring robust visibility across complex systems.
Recently, my focus has been on integrating AI and LLM-based models (including OpenAI and custom deployments) into observability workflows—automating log summarization, error spike detection, and incident triage using intelligent prompt engineering and data enrichment techniques.
I enjoy building reliable, scalable solutions that improve clarity, accelerate development, and create lasting value for teams and users alike.
Python
Observability
OpenAI Integration
AI Prompts
Observability
GIT
undefinedPoetry, Sketching, Badminton