Engineering Manager/Staff engineer/Senior AI engineer

Led the PowerPack monitoring portfolio for an AIOps platform monitoring more than 100,000 devices across networking, security, storage, cloud, virtualization, databases, middleware, Linux, Windows, and APM. Expanded team ownership from 40% to 90% of 105 generally available PowerPacks across two teams.

Built a PowerPack A/B testing platform that provisioned and compared base and target SL1 stacks, reducing average release-testing cycles by 61% and worst-case cycles by 77%. Architected an MCP server and multi-agent RAG support system, driving broad AI adoption and reducing SLA breaches by 90% and average support resolution time by 60%.

Established ScienceLogic's India product-engineering site, hiring 19 engineers and QA professionals, scaling to 15 people across two teams, and developing two engineers into team leads. Defined hiring, code-review, quality, and escalation standards, while managing budgets, contractor negotiations, and India-specific employment policy input.

Led PowerPack engineering work for ScienceLogic's AIOps monitoring platform. Built a CLI to automate Python 2-to-3 PowerPack conversions and validate monitoring output against original packs.

The automation was used by US and India teams to convert 60 PowerPacks before a hard deadline. It was later extended into a cross-platform desktop application and an agentic workflow for Professional Services, enabling a month of planned conversion work to be completed in one week.

Led backend architecture and delivery for education and job-portal products, covering requirements analysis, implementation, testing, deployment, monitoring, and operational support. Developed a multi-tenant platform with data isolation that scaled to 600,000 total users and approximately 100,000 concurrent users.

Optimized backend services, infrastructure, and APIs to maintain P95 response times around 150 ms during peak load and saved approximately USD 60,000 annually in cloud costs. Led HLS adaptive bitrate streaming integration and video processing capabilities, reducing storage and bandwidth costs by about 50% while supporting security and compliance audits.

Built an end-to-end IoT data pipeline for smart electric scooter telemetry, ingesting device data into IoT servers, databases, and Elasticsearch for mobile applications.

Introduced automated testing procedures that reduced production bugs by 40%. Contributed to scalable backend systems supporting connected-vehicle data and application experiences.

Built distributed and scalable web crawling and scraping infrastructure for extracting data from diverse websites.

Contributed full-stack feature development for eCommerce products, supporting data collection, application functionality, and scalable product delivery.

Bachelor of Technology in Computer Science.