- I work as part of a builder-operator team owning self-managed observability infrastructure at Axon; this includes, among other things, SDKs, telemetry pipelines, storage backends(Prometheus+Cortex for metrics, Splunk for logs, Jaeger for traces), integrations, and querying frontends. - Regular contributor to two upstream open-source projects, Promitor(https://promitor.io) and OpenTelemetry Collector(https://opentelemetry.io/docs/collector); my contributions are currently used within Axon and across the wider industry. - Owned OpenTelemetry-based client-side instrumentation; this included an instrumentation client and out-of-the-box OTLP metrics for APIs, cache, database, and async workflows. - Lead various company-wide initiatives, such as standardized OpenTelemetry metrics and workflow-level monitoring, aimed at lowering the overall mean time to detect incidents. - Performed regular operational work on our Kubernetes-based deployments(networking ingress, load balancing, autoscaling, resource allocation etc.) to increase reliability and enable new features. - Answered observability-related questions on a daily basis, in an ask channel that's recognized as best across the whole company Skills: Prometheus · PromQL · OpenTelemetry

- Design, implementation, and rollout of in-store customer onboarding event tracking and polling to power notifications and analytics (event-driven architecture, Tray, Snowflake) - Lead engineering excellence work for customer-onboarding backend; improved tracking metrics around self-service onboarding and onboarding time, refactored and improved upon handling of async onboarding tasks, and drastically improved test coverage. - Complete rewrite of CI pipeline encompassing all in-store backend and a subset of end-to-end tests; used parallelization and storage isolation to improve speed and ensure correctness (Docker, Jenkins, Redis, Postgres) Skills: Kubernetes

- Implemented orchestration and tracing of jobseeker journey throughout Indeed ecosystem using a distributed workflow management framework (Cadence Workflow Engine, gRPC, Spring Boot, Presto) - Captured and processed recruiter performance metrics and surfaced usage reports to ~300,000 companies that subscribed to Indeed Resume Search (Apache Beam, Apache Flink, Presto, Hive) - Designed and implemented service to surface usage data to Indeed Resume Search subscribers(gRPC, Spring Boot, SQL) Skills: Kubernetes

- Held weekly office hours explaining operating systems concepts and debugging student operating system code - Directly helped more than 20 students achieve better operating system kernel and file system implementations

• Created Elasticsearch and PostgreSQL queries to filter out ~300K inactive websites from internal customer website catalog • Implemented website catalog features enabling users to mark websites as favorites, with React and Redux • Migrated data processing pipelines from virtual machines to Kubernetes clusters by creating custom Docker deployment configurations

• Facilitated hedge fund’s expanded trading operations in foreign electricity markets via implementation of real-time, interactive market data visualizations using Java 8 across time and geography • Enhanced data infrastructure to automatically mine and process additional 50+ GB data from more than 20 sources relating to power market, which inform financial trade decisions on a daily basis • Developed real-time analytics reports regarding power market congestion, using pandas, Jupyter Notebook, and other Python data science tools

● Redesigned live status tracking and display of fantasy tournaments registered by a user ● Created automated tests for user login flow as well as fantasy sports tournaments life cycle from tournament creation to rewarding money to winners at the end. ● Automated email delivery with user­specific data and other operational tasks

Second author of research manuscript “Generous to a Fault? Individual Data Sharing Habits and Biases in Genomic Databases”, which investigates data biases and personal data sharing habits. It has recently passed editorial review of top-ranked journal New England Journal of Medicine. Designed and published Android app analyzing user’s genetic risk factors from gene sequencing data