Engineered
for scale.
Built to last.
Software Engineer at Dell Technologies. I build reliable platforms, scalable APIs, and cloud-native infrastructure — cutting deployment times by 60% and validation cycles by 90%.
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About me
I'm a Software Engineer at Dell Technologies, focused on backend systems, automation, and distributed infrastructure. My work spans CI/CD pipeline engineering, Kubernetes-native platforms, and REST API development — building tools that make engineering teams faster and systems more reliable.
"Build for reliability. Automate for scale."
I hold an MS in Computer Science from NYU Tandon and a BTech from VIT. I'm a certified Scrum Master and Product Owner, a published researcher across NLP, algorithms, and IoT-ML, and a 2025 Dell ISG Hackathon honourable mention.
Let's talk →Tech Stack
Where I've Worked
- Architected a CI/CD-integrated build verification framework using Jenkins and Python — reduced validation turnaround by ~90%.
- Developed a cluster-wide diagnostics platform with REST APIs and distributed log collection, cutting support escalations by 30–40%.
- Standardized multi-node log aggregation and validation pipelines, improving on-call efficiency and reducing time to resolution.
- Implemented Python-based test automation, reducing manual testing effort by ~40% and improving release consistency.
- Designed a Kubernetes-native telemetry system with CRD-based extensibility for scalable observability across services.
- Migrated deployment workflows to an installer-driven model, reducing deployment time by ~60%.
- Designed and deployed a Trino-based distributed query platform on Kubernetes for cross-container data access.
- Enabled querying of Parquet datasets from object storage for analytics workflows.
- Implemented Helm-based diagnostic tooling to automate cluster health checks.
- Built Apache Superset dashboards for multi-source data visibility.
- Delivered an internal developer portal for API discovery and consumption across engineering teams.
- Built a hybrid API management portal to catalogue and govern enterprise APIs.
- Executed end-to-end testing across portal and API layers, identifying bottlenecks and improving pre-release stability.
- Developed an NLP-based keyword extraction pipeline — reduced processing time by ~60%.
Things I've Built
- 6-service platform with Kafka-based event-driven architecture for async order workflows and eventual consistency.
- Deployed on Kubernetes with database-per-service design, Elasticsearch integration, and autoscaling from 2→5 replicas.
- Hybrid ML engine on 100,000+ ratings and 9,700+ movies — 85% accuracy with optimised runtime performance.
- FastAPI backend with automated CI/CD pipeline enabling real-time recommendations, deployed to production.
Published Research
Let's talk
Open to backend, platform, and infrastructure engineering roles. Based in Austin, TX — happy to chat about the right opportunity.