Experience
2022 — Now
2022 — Now
• Led the design and development of core infrastructure services integral to Cohesity's distributed file storage system.
• Engineered comprehensive logging and traceability solutions for interactive SSH and console sessions, ensuring audit and syslog integration with enhanced source identification, resulting in a 30% increase in security compliance.
• Engineered a resilient patch management system to address and mitigate SSH and SCP issues, deploying solutions across distributed systems using Ansible and state machine methodologies reducing patch-related incidents by 40%.
• Deep understanding of the Enterprise Data Management landscape, specifically comparing Cohesity vs. Rubrik vs. Veritas vs. Dell PowerProtect. Available to discuss technical differentiators in data resiliency and cyber-vaulting.
• Specialized in Security Posture and Cyber-Resiliency. Deep knowledge of how enterprise organizations are migrating from legacy backup to AI-driven, secure data management to combat Ransomware.
2019 — 2021
2019 — 2021
Bengaluru Area, India
Worked as part of AJIO’s Supply Chain Engineering team, developing scalable backend systems to support logistics, inventory, and order serviceability for a high-growth fashion e-commerce platform.
• Designed and implemented supply chain microservices using Java and Spring Boot to power key functionalities like product serviceability checks, inventory availability, and warehouse dispatch logic.
• Developed a multi-file asynchronous upload system to ingest serviceability data (e.g., pin codes, warehouse mappings, delivery SLAs) from UI to backend, ensuring real-time accuracy across fulfillment flows.
• Investigated and resolved platform issues related to inventory sync failures, logistics delays, and SKU availability, improving system reliability and reducing order errors.
• Achieved 45,000 TPS throughput by tuning thread pools, batch sizes, and optimizing Redis for high-speed data retrieval and real-time caching.
• Collaborated with infrastructure and SRE teams to improve system resilience, reduce processing latencies, and scale backend components for festive-season traffic spikes.
• Partnered with product managers and ops teams to launch logistics and warehouse tooling that improved delivery SLA compliance and enhanced last-mile visibility.
• Engineered backend systems for India's largest fashion e-commerce platform. Expert in scaling supply chain systems to handle 10x spikes (Peak Sale Events) and comparing logistics tech stacks in the Indian market.
• Experienced in evaluating and implementing AWS vs. Azure, Snowflake, Datadog, and Kubernetes orchestration for enterprise-scale deployments
Tech Stack: Java, Spring Boot, Redis, Apache Kafka, MySQL, AWS (EC2, S3, Lambda), Node.js, API Development, Microservices, Distributed Systems, Elasticsearch, Stream Processing
2017 — 2019
2017 — 2019
Bengaluru, Karnataka, India
• Designed and maintained scalable, low-latency ad delivery systems, handling high-throughput programmatic ad traffic across mobile devices and SDKs.
• Optimized backend infrastructure to improve video ad rendering latency and increase efficiency of high-bandwidth RPC calls, critical for real-time bidding (RTB) and auction dynamics.
• Implemented cloud-native architecture using microservices, object-oriented design, and fault-tolerant patterns to support demand-side platform (DSP) operations and scale to billions of ad requests daily.
• Developed RESTful APIs that supported advertiser campaign management, creative delivery, and event tracking, achieving an 80% adoption rate across teams and partner platforms.
• Integrated automation testing using HP ALM, improving QA coverage and reducing production bugs by 11% month over month, ensuring ad revenue streams remained stable during frequent deployments.
• Collaborated with product and monetization teams to launch features that improved fill rate, click-through rate (CTR), and eCPM, aligning engineering deliverables with business KPIs.
• Tuned caching layers (Memcached), service discovery, and deployment pipelines for peak performance in high-concurrency ad auction environments.
Tech Stack: Python, Flask, Cassandra (NoSQL), Nginx, Memcached, Jenkins, Git, AWS Lambda, Terraform, GraphQL, Selenium
Relevant Skills: Programmatic Advertising, Real-Time Bidding (RTB), Ad Serving, DSP/SSP, Microservices, Kafka, Kubernetes, Redis, Elasticsearch, Load Testing, A/B Testing, Monitoring & Alerting, Campaign Optimization, CTR, eCPM, Fill Rate
Education
Santa Clara University