Sep 2025 – Present · 8 mos · San Francisco Bay Area · Remote

• I’ve been fortunate to spend close to a decade building distributed systems and AI infrastructure across Microsoft, PayPal, McKinsey, and Workday. Along the way, I’ve had incredible mentors who shaped my journey — and now I’m paying it forward.
• Through my Topmate.io page (https://topmate.io/pronnoygoswami), I connect with:
• Students preparing for internships and their first roles in tech
• Early-career professionals navigating their growth
• Indian students and global grads beginning MS/PhD programs abroad
• 💡 I offer guidance on:
• → Breaking into tech and scaling your career
• → System design, distributed systems, and observability
• → Life abroad: adapting to academia and industry
• This is a free initiative — my way of giving back to the community that shaped me.

Mar 2025 – Present · 1 yr 2 mos · Remote · Remote

• As a contributor to The AI Journal, I share deep technical insights, architectural frameworks, and real-world strategies at the intersection of distributed systems AI, and cloud infrastructure.
• My articles aim to bridge cutting-edge research with practical engineering practices, helping organizations design scalable, reliable, and AI-ready systems.

Dec 2024 – Present · 1 yr 5 mos · San Francisco Bay Area

• Founder of Distributed Bytes with Pronnoy, a newsletter exploring distributed systems, AI, infrastructure, cloud computing, observability, and tech careers.
• I share insights, strategies, and lessons learned from building scalable systems.
• 📬 Subscribe here: https://www.linkedin.com/newsletters/distributed-bytes-with-pronnoy-7279272484409909250/

Sep 2024 – Present · 1 yr 8 mos · Dublin, California, United States · On-site

• Serving as a mentor and advisor for the STEM for the Dublin Unified School District.
• Mentoring high school students on computer science careers, and courses.

Jun 2024 – Present · 1 yr 11 mos · San Francisco Bay Area · Remote

• Serving as an Advisory Board Member for Kropply.
• Kropply is a bootstrapped startup that uses Generative AI for autocorrecting run-time errors in code.

Mar 2023 – Present · 3 yrs 2 mos · San Francisco Bay Area · Hybrid

• Organization: Cloud Data Platform and Observability | 0 → 1 🚀
• Architecting and building Solas, Workday’s unified logging infrastructure serving 10,000+ customers and 70M+ users across multiple cloud regions
• Worked on Pharos, the next-gen observability platform delivering real-time telemetry and metrics at cloud scale, enabling day-zero monitoring for mission-critical workloads
• Achieved 5x reduction in telemetry costs through intelligent log routing, storage tiering, and multi-cluster architecture
• Led the ELK stack modernization and upgrade across production clusters, improving ingestion throughput and system reliability
• Built scalable ingestion pipelines using Kubernetes (EKS), FluentBit, Kafka, and ElasticSearch, optimized for high-throughput log and metric collection
• Currently working on building resilient observability services in air-gapped environments to support Workday’s federal and compliance-bound customers
• Collaborated cross-functionally with infrastructure, compliance, and product teams to ensure platform SLAs, high availability, and extensibility
• Spearheaded CI/CD automation and deployment tooling to reduce release friction and improve developer velocity

Aug 2020 – Mar 2023 · 2 yrs 7 mos · Greater Seattle Area

• Organization: Azure Core Compute | 0 → 1 🚀
• As a key contributor to the Compute Runtime team within Azure, specifically the Container Lifecycle Management division, I was at the forefront of architecting the next-generation control plane for Azure Compute. In that dynamic role:
• Pioneered a comprehensive architectural overhaul to systematically mitigate scale and persistence bottlenecks within the control plane stack, optimizing the handling of container-related artifacts.
• Spearheaded the integration of diverse container scenarios, including over-subscription VMs and spot instance VMs, fostering adaptability and versatility in Azure's offerings.
• Engineered a robust framework that enabled the execution of large-scale concurrency runs, providing critical insights into workload bottlenecks and ensuring adherence to stringent SLA targets.
• Collaborated on a goal-state delivery platform, leveraging Apache Kafka, to seamlessly communicate with thousands of endpoints, ensuring minimal latency and high-fan out capabilities.
• Introduced a crucial capability to dynamically generate and deliver container artifacts essential for bootstrapping various containers at the data plane layer.
• Implemented a sophisticated distributed tracing and metrics system using OpenTelemetry constructs, enhancing observability across different services.
• Elevated developer productivity and streamlined the inner loop by instituting localized one-box integration tests tailored to container lifecycle scenarios, ensuring a seamless development experience.

Jan 2019 – Jan 2020 · 1 yr

• Mentored by Prof. Na Meng, I contributed to groundbreaking initiatives within the NiSE (iNnovations in Software Engineering) research group at Virginia Tech, where I:
• Spearheaded the publication of a pioneering dataset for scrutinizing the reproducibility of builds, focusing on the top 1,000 most crucial NPM packages.
• Engineered a cutting-edge tool strategically designed to uncover potential vulnerabilities in non-reproducible NPM packages. This tool was not only deployed across the entire NPM ecosystem but also played a pivotal role in proactively thwarting re-packaging and supply-chain attacks for NPM packages.

Jan 2018 – Jan 2019 · 1 yr

• Systems Software Research Group, Virginia Tech (https://ssrg.ece.vt.edu)
• Advisor - Prof. Binoy Ravindran and Dr. Amer Tahat
• Spearheaded initiatives to enhance the fault tolerance of critical systems through rigorous verification and scalability measures.
• Pioneered investigations into the transformative potential of distributed systems within high-performance computing, strategically targeting latency reduction.

Jan 2019 – Jan 2019 · 0 mo · Scottsdale, Arizona

• Team: Tokenization and LiveOps @ PayPal Payments
• Engineered an intelligent and scalable knowledge base, revolutionizing information accessibility for the Payments Platform & Engineering team.
• Leveraged the NLTK platform to extract and meticulously index features from the corpus into the Payments ElasticSearch cluster, enhancing data retrieval efficiency.
• Innovatively designed and developed a full-stack web and mobile application using NodeJS and ReactJS, significantly boosting search performance and usability.
• Achieved a remarkable 63% reduction in average lead time for issues through the strategic implementation of the application, a milestone that led to the filing of a patent (D2019.0611) for the groundbreaking product.

Jun 2017 – Jul 2018 · 1 yr 1 mo · Greater Delhi Area

• Division - Digital McKinsey 0 → 1 🚀
• Rapidly ascending within McKinsey & Company, I assumed the role of Tech Lead for a foundational product pivotal to optimizing CapEx and OpEx for our clients:
• Standardized and introduced new Standard Operating Procedures (SOPs) and Request for Changes (RFCs) for the product platform, enhancing its accessibility for external customers.
• Orchestrated the successful product launch in APAC and EMEA in 2017, delivering remarkable savings of 3.5x on operating margins for both McKinsey and its clients.
• Established and led a dedicated SRE team, providing robust support for the product and its diverse offerings in APAC and EMEA.

Jul 2016 – Jun 2017 · 11 mos · Greater Delhi Area

• Division - Digital McKinsey
• Engineered the robust backend and database, empowering clients to optimize costs through data-driven insights.
• Innovated the core calculation logic, orchestrating expense calculations and implementing a caching layer to slash network latency.
• Pioneered a user-centric feature enabling target setting based on opportunity cost, enhancing the platform's adaptability.
• Spearheaded the development of a feature tracking the impact of implemented methodologies, providing valuable post-implementation insights.
• Assumed ownership of the DevOps infrastructure, revolutionizing CI/CD setups across diverse environments through the implementation of CircleCI.

Jan 2016 – Jan 2016 · 0 mo · Greater Bengaluru Area

• Played a pivotal role in crafting a cutting-edge real-time retrospective application.
• Architected an intuitive user interface with AngularJS, seamlessly integrated with a robust Firebase backend for optimal real-time performance.
• Engineered advanced session management within the chatroom, ensuring a seamless user experience, and implemented a secure authentication and authorization service using Auth0.
• Spearheaded the design and implementation of a streamlined continuous integration and deployment pipeline, leveraging CircleCI for enhanced efficiency.

Jan 2017 – Jan 2018 · 1 yr · Singapore

• Core contributor @ FOSSASIA
• Was invited as a speaker to give a compelling talk at the Free & Open Source, Asia (FossAsia'18) conference in Singapore. Shared groundbreaking insights on mitigating turbidity effects in underwater images.

Jun 2015 – Aug 2015 · 2 mos · Greater Delhi Area

• Spearheaded the development of a groundbreaking image-based search feature seamlessly integrated into the E-commerce company's website in Africa.
• Utilized hierarchical clustering to craft a dendrogram, enabling users to nonlinearly browse vast image datasets by leveraging the similarity measure of neighboring histograms.
• Elevated product performance by implementing advanced deep learning models, a strategic enhancement to the existing framework.
• Impacted over 1 million users across diverse countries in Africa, providing an innovative and efficient search experience.

Dec 2014 – Feb 2015 · 2 mos · Dona Paula, Goa

• Mentor - Dr. Pramod Maurya & Dr. A.S. Gaur
• Engineered a comprehensive end-to-end tool, strategically designed to mitigate the impact of turbidity in underwater images. The successful integration of this tool with AUVs at the research facility marked a significant milestone.
• Orchestrated a mission with the explicit goal of enhancing the amount of information extracted from underwater explorations, elevating the efficiency and efficacy of the process.
• Expanded the scope of the project to encompass the creation of image mosaics from the processed images, offering invaluable support to marine archaeologists in the study of underwater shipwrecks and seabeds.

Jan 2012 – Jan 2016 · 4 yrs · New Delhi

• Mentors - Dr. R.K. Sinha and Dr. Ajeet Kumar | Website: http://auv.dtu.ac.in/
• Drove the development of advanced computer vision algorithms for the precise detection and localization of underwater objects, harnessing the power of OpenCV and MATLAB.
• Crafted a mission planning module in C/C++ using the Qt SDK, enabling seamless multi-tasking of critical processes.
• Spearheaded a transformative migration, shifting the entire computer vision and mission planner module from NI LabView to a Linux environment, leveraging the power of OpenCV for enhanced efficiency.
• Achieved recognition as semi-finalists in the prestigious AUVSI International Robosub competition in 2013, a testament to the impactful research and creativity brought to the forefront during my tenure.