Jul 2022 – Oct 2023 · 1 yr 3 mos

• Built Tanzu Application Platform’s (TAP) resiliency framework in Go to simulate failures across lifecycle events. Automated 60+ single- and multi-cluster scenarios including schema mismatches, component exclusions, supply chain switches, cert rotations, and cross-cluster failures on AWS, Azure, and GCP.
• Refined TAP’s key-value schema with 90+ metapackage and component updates, resolving inconsistencies and simplifying installation. Enabled configuration sharing across components by introducing top-level keys, reducing boilerplate and improving developer experience.
• Earned four VMware Spot Awards for impactful contributions across high-priority TAP initiatives.

Jul 2021 – Jun 2022 · 11 mos

• Created Go modules for Tanzu Application Platform (TAP) workflows using the Kubernetes API, forming the core infrastructure for E2E, scalability, performance, stability, resiliency, and regression testing. Automated setup and teardown, multi-profile installations, and supply chain functions, supporting 100+ workflows across single- and multi-cluster topologies.
• Built TAP’s packaging and release system in Go to create, validate, and publish builds. Developed CI/CD pipelines to deliver nightly, pre-release, and production releases, handling 400+ PRs/month end-to-end.
• Earned two VMware Achieve Awards for leading critical automation and infrastructure efforts across the TAP platform.

Jan 2021 – Jun 2021 · 5 mos

• Automated provisioning and lifecycle operations for vCenter Server Appliance using Ansible, including installation, upgrades, ESXi registration, licensing, datastore management, and NTP setup. Reduced configuration phases by up to 99% and overall deployment time by 25%, saving up to 12 hours per rollout.
• Developed a health monitoring system for ESXi hypervisors in Python, using vSphere REST APIs and event log parsing to track resource metrics and detect system failures. Detected issues in 10% of production hypervisors during routine scans, enabling proactive recovery.

Jun 2021 – Aug 2021 · 2 mos · Remote

• • Created the Python interface for the Point Cloud Library (PCL), enabling access to its native C++ features by auto-generating bindings for 600k+ LOC via libclang AST analysis.

Dec 2019 – Aug 2020 · 8 mos · Remote

• • Built a deep learning pipeline for image quality assessment using TensorFlow and Keras, with modular training and inference, custom data generators, augmentations, and staged fine-tuning to predict perceptual quality scores.

May 2019 – Jul 2019 · 2 mos · Pune, Maharashtra, India · On-site

• • Developed diagnostic pipelines for ABS and ESP systems, automating 25+ performance and fault detection routines. Implemented a seed-key exchange protocol in C to enable secure access to restricted ECU services.