Apr 2025 – Present · 1 yr 1 mo · Hybrid

• Designed and developed a scalable Disaster Recovery Dependency Mapping system as part of the
• Expedia BRR Team, using Java, Spring Boot, and AWS Neptune to ingest service relationships
• from Datadog APIs and store them in a graph database for real-time querying and visualization.
• Implemented AI-powered fuzzy matching to resolve inconsistent service names across systems, signif-
• icantly improving dependency accuracy and disaster recovery readiness.
• Designed and implemented a resilient architecture with well-defined HLD/LLD, design patterns, sched-
• uled syncs, and intelligent caching to reduce API load, ensure data consistency, and support 100s of mi-
• croservices, and set up CI/CD pipelines using GitHub Actions, Docker, Helm, and Kubernetes
• with high test coverage and robust error handling.
• Designed and developed the EG Media Upload Service on Google Cloud Platform (GCP) as part of
• the Expedia Hotels Team, enabling partner hotels to seamlessly upload, view, and manage photos and
• videos — resulting in improved booking conversions.
• Designed and built a video transcoding workflow using FFmpeg on Google Cloud Run, converting
• uploaded videos into 360p/720p/1080p/4K formats through a decoupled, message-driven architecture
• with Cloud Pub/Sub — reducing upload time by 40

Aug 2023 – Mar 2025 · 1 yr 7 mos · Hybrid

• Designed and implemented a fully automated data pipeline to extract daily per-service availability metrics from Datadog, transform them using Python and tableauhyperapi, and publish structured outputs for analytics consumption.
• Replaced legacy 7-day rolling average logic with granular daily availability tracking across multiple services, enabling accurate incident pinpointing and seamless integration with downstream reporting systems.
• Built a scalable alerting framework integrated with the pipeline, automatically notifying service owners of daily SLO violations, reducing incident response time by 20% and improving operational readiness.
• Developed backend systems to compute and expose real-time reliability metrics (Availability, Latency, MTTR, MTTA) via programmatic APIs, improving observability tooling and driving a 15% reduction in system downtime for Tier-1 services.

Jan 2023 – Jul 2023 · 6 mos · Bangalore Urban, Karnataka, India · Hybrid

• Led the end-to-end development of Intel Unnati LMS, architecting backend services, designing scalable data models, and building secure user flows.
• Engineered 10+ RESTful APIs using Node.js and Express to power critical features, supporting high-throughput event and certificate management operations.
• Automated key workflows including event registration and certificate generation, reducing manual effort and improving system efficiency.
• Integrated JWT-based authentication and role-based access control to enforce security and user privacy across the platform.
• Designed and implemented data schemas in MongoDB and collaborated on backend-to-frontend API contracts for seamless delivery.
• Wrote 60+ robust unit and integration tests for React components using React Testing Library, driving frontend stability and CI reliability

Nov 2021 – Jan 2022 · 2 mos

• Engineered a multimodal offensive content detection system by integrating computer vision and NLP pipelines into a unified classification framework.
• Leveraged transfer learning with VGG-16 for visual feature extraction and LSTM-based sequence modeling for text analysis.
• Designed and implemented a fusion strategy to combine image and text modalities, significantly improving model accuracy and robustness in real-world meme classification scenarios.

Jan 2021 – Apr 2021 · 3 mos · Mumbai, Maharashtra, India

Jul 2019 – Oct 2020 · 1 yr 3 mos