Tejal Reddy

Threat Intelligence Team - Owned end-to-end development of a threat intelligence product (0→1), driving customer discovery, feature design, and iteration through direct customer calls, demos, and feedback loops - Built systems for analyzing and visualizing relationships between security threats, modeling entities and connections as graph structures to enable detection of coordinated attack patterns - Developed timeline-based views by aggregating and ordering event data, allowing users to trace how threats evolve over time - Designed backend workflows to compute relationships between entities (e.g., shared infrastructure or behavioral similarities), improving visibility into attack campaigns - Designed how campaign data is translated into clear, user-facing summaries, determining key inputs and structuring outputs to effectively communicate patterns, risks, and insights - Enhanced performance of data-heavy workflows through query optimization and caching strategies to support interactive exploration Core Team - Defined and implemented rule-based and heuristic filtering logic to identify and exclude non-malicious data, ensuring detection systems focused on meaningful threats - Developed a filtering system to prevent benign or customer-owned content from entering detection pipelines, leveraging pattern matching, metadata validation, and allowlist/denylist strategies to reduce false positives - Built long-term data storage (cold storage) infrastructure to support reliable retention and retrieval of historical data, enabling access to past events without impacting primary system performance Human Risk Management Team - Led development of an AI-powered content generation system, using LLM-based workflows to generate and structure security training content at scale - Designed workflows to transform unstructured customer requests into structured training outputs using templating, AI generation, and validation

- Implemented core ETL mapping, enabling data extraction from custom sources and transformation for integration with any custom destination - Contributed to backend development, MySQL and Protocol Buffer design, and React state management, leading to a promotion within nine months - Engineered a smooth transition from AWS to GCP, enabling support for both platforms to meet customer preferences for data storage location - Resolved critical user-facing bugs by adding and analyzing tracing in Grafana Tempo, improving application stability and user experience - Optimized database queries to improve pagination load times by 700% and decreased the wait time for customers on highly trafficked pages - Led a team of two and designed the technical specification for the project by addressing user complaints and critical edge cases

-Created a machine learning text classifier on the Scratch 3.0 platform by using Tensorflow for the Amazon Future Engineers program -Conducted front-end work using HTML on the Scratch 3.0 platform to make it simple for young users to navigate -Taught and utilized the text classifier in a middle school curriculum to explore AI and its ethics for the Amazon Future Engineers program -Taught and utilized the text classifier at a Women in STEM week for a high school camp based in Mexico

- Used Lightstep, Grafana, Nomad, and Sentry to triage alerts and create fixes for cache failures, stuck flows, and UI errors - Created event handlers in Java that listen for specified changes and publish Protobuf messages to Kafka topics - Designed custom Apache Airflow tasks and DAGs to export, process, and upsert data between databases

- Built a dashboard displaying server health trends and statistics for over 1,200 servers in Micron’s server farm - Developed a metric to be used by server farm engineers to determine what servers should be prioritized for maintenance - Interpreted three years of customer server farm data using Google Cloud Platform to determine the causes of irregularities and errors

-Analyzed cloud security and its intersection in industry applications such as Industrial Control Systems and Energy Delivery Systems -Conducted literature reviews and condensed and summarized my findings into documents and presentations -Analyzed the challenges of moving Industrial Control Systems to the cloud