Part of the core management team, responsible for owning and defining tech strategy. The stack serves both B2B and B2C, using layered microservices to integrate approx 50 suppliers enabling over 40MM+ daily search requests, and over 500k monthly bookings.

• Architect: Lead a team of 10 architects/principals across global locations, managing architectural design, technical strategy and roadmap of all verticals for the global flight org (~75-85 FTEs).
• Innovation/Modernization: Leveraged process and architectural innovation to deliver tech migrations, including postbook modernization, crucial for getting a firm-wide CTO-level initiative back on track.
• GenAI: Advocated, implemented, and demonstrated the use of Agentic AI utilizing LLMs for sentiment analysis, and triaging tickets, collaborating on a platform to enable this across the org.
• Vendor Management: Negotiated and collaborated with external consultant vendor teams to ensure timely delivery of projects, managed remediation of off-track projects, and adhered to budgets.
• Lead architect in the acquisition and integration of Amadeus LTC(5.5MM+), an ML-based supply cache for multi-source flight aggregation, resulting in a cache hit increase of approx. 15%, and significant projected cost-savings in terms of look-to-book.
• Enabled business operations by introducing self-serve debugging insights into business/pricing rules in production, reducing triage time from days to minutes.
• Led multiple initiatives that resulted in cost savings of over $1MM+ annually, including migrating from Redis to Bigtable, horizontal pod auto-scaling, reducing memory thrash etc.
• Initiated the transition towards monorepos and a unified domain model to better manage the fragmented state of multiple micro-services and repositories and reducing KTLO, increasing productivity.

• Led multiple teams of approx 30+ engineers/managers with teams in US, Canada and consultants in Ukraine and Buenos Aires, delivering on product initiatives and managing core platform services.
• Helped drive strategy and innovation for our flagship project Firefly a global flights supply aggregation platform for Booking Holdings (Priceline, Agoda, Kayak).
• My team delivered on a complete re-write of the search, price and control verticals, and key product functionalities - Fused Itins(join one-ways for round trip), Express Deals(deals with hidden details), Pricing Engine, Rule Engine etc.
• Partnered with TPMs, product in driving hyper-growth within flights, where we opened 2 new offices (Toronto/Mumbai), and scaled the overall team to several times it’s initial size
• Partnered with cross-functional architects, product/program managers, engineering leaders, driving a successful migration from on-prem to Google Kubernetes micro-services stack.
• Introduced the concept of a blueprint for a multi-step booking process, which orchestrated the transaction, and reduced development time for new suppliers from weeks to hours.
• Collaborated with the Enterprise Architecture team to implement developer testing “tracks” using Istio network subsets and header-based routing. This enabled dedicated QA test environments for GitHub branches, significantly enhancing developer productivity.
• Led a tiger team to onboard our first platform user Agoda.com, onboarding approx. 20k/min requests in a new region, splitting the traffic path, managing success criterias/expectations in a timely manner

My team managed previews serving infrastructure which converts uploaded files into previewable formats. Our services handled 20k qps requests ensuring that conversions happen in a secure fashion, with minimal latency. Previews is the 2nd largest infra at Dropbox, and key driver for most product initiatives.

• DRI (Directly Responsible Individual) for multiple initiatives including migrating legacy HTTP /v1 restful endpoints and all it’s related calls in the dropbox codebase to a GRPC based scalable micro-service with thin wrappers around existing libraries.
• DRI for file metadata storage and extraction pipeline to on-the-fly extraction. Gained alignment across 5 different product teams in order to deprecate defunct use-cases and reduce costs by 400k/yr.
• Developed previews for e-books (i.e read ebooks on dropbox.com), working with teams across web, android/ios platforms to ensure a seamless rollout.
• Worked on new pipeline converting MS Office documents into previewable formats (pdf/images) securely in jailed containers at scale.
• Mentored and onboarded junior engineers/interns, co-authored team’s North Star Doc.
• Stack/Languages: Python, Golang, S3/EC2, Hive, Bazel, protobufs, Inhouse jailed containers.

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.