• Group Technical Lead & Architect for the priceline flights backend infra team. I work with engineers across the flights org to improve processes, and architecture of our search/price and booking stacks.
• Led the migration of flights infra from on-prem infrastructure to Google Kubernetes Hosted micro-services
• Multiple performance and scalability improvements both at an implementation and architectural level to our search stack

• Part of team that manages previews serving infrastructure which converts uploaded files into previewable formats. The service handles 20k qps requests at peak doing conversions within jailed environments.
• Migrated legacy HTTP routes to grpc based services, by creating a wrapper service around legacy libraries in order to move towards SOA.
• DRI for migration of file metada storage as well as extraction pipeline to on-the-fly extraction. Gained alignment across multiple teams in order to deprecate defunct use-cases and reduce costs by 400k/yr.
• Worked on the new document conversion pipeline for converting MS Office documents into previewable formats securly in jailed environments, at scale.

NGLA: An end-to-end log analytics service (Jan 2015- Nov 2017)

• Architect and led the design & development of streaming anomaly detection with NoSQL database (Elas- ticSearch), Kafka and Spark Streaming. Owned most components of the pipeline for streaming analytics - Collaborated on design of complex time-series, stateful and stateless log analytics in a multi-tier setup - Designed a control interface for streaming analytic task job management (tasks involved - model man- agement, in-memory states, periodic anomaly check, start/stop, and cleanup)
• Modified core apache spark code to introduce support for on-the-fly broadcast model update, leveraged this in deploying model control management interface in spark streaming
• Designed a prototype web-interface for real-time visualization using Flask, javascript and bootstrap
• Founding member with an initial team of 3, experience in data cleaning, preprocessing, log pattern rep- resentation and parsing including multiple POC trials for customer data

Behavior Analysis Engine (Jan 2017-Nov 2017)

• A Semantic language framework for knowledge representation - expressing complex machine learning log models and allowing administrators to express domain knowledge as “rules” and “behaviors”
• Worked in a two person team for writing language grammar and execution operations using Spark SQL - Developed (in progress) RESTful API to convert BAE to an SOA with job and rule management

CLUE: Distributed System Trace Analytics (Jan 2013- May 2015)

• Stitched kernel event logs to generate end-to-end “transactions”, which can help give a “CLUE” to the root-cause of bugs. CLUE uses data-mining and transaction clustering to find potential anomalies
• Developed a novel hybrid (static + dynamic) binary instrumentation tool called iProbe with an order of magnitude better performance than state of art-tools
• Collaborated on core-engine development, and designed the interface along with data visualizations, and project management

NetLogic (Jan 2015 - Dec 2015):

• Building a software defined data-center and cloud environments by deploying OpenStack and Open- VSwitch based network management. Deployed and managed the OpenStack infrastructure, and wrote several wrappers to setup a small internal cloud
• Developed a novel prototype network manager called HybNET for hybrid network infrastructure with both SDN and legacy switches. The controller allowed centralized network management despite partial transition to SDN switches

• Thesis: Developed on-the-fly sandboxed debugging framework called Parikshan, which allows developers to debug SOA applications hosted on user-space containers in a cloned parallel container, without any downtime and any impact on the production facing service
• Parikshan leverages live-cloning a modification of live-migration and a new network duplication proxy to enable on-the-fly cloning of OpenVZ containers
• Also worked on other projects associated with the lab- COMPASS, research in Multi-core Software Engi- neering, Binary/Run-time instrumentation, static and dynamic program analysis, Recommender Systems. and system administration/mentoring research students.