Jan 2026 – Mar 2026 · 2 mos

• AWS Vulnerability Management
• Designed and built an automated data integrity monitoring system for a security detection pipeline processing billions of records daily, ensuring no failed records go undetected beyond SLA thresholds
• Implemented the end-to-end workflow using Apache Spark on EMR with Iceberg tables, tracking failed records across 4 pipeline components, auto-resolving when reprocessed, and emitting per-component CloudWatch metrics and alarms

Nov 2023 – Jan 2026 · 2 yrs 2 mos

• IT Product and Development
• Contributed and delivered a large-scale personalization pipeline to proactively detect IT issues for all Amazonians. Built with Kinesis, Apache Flink, SQS, DynamoDB data flow to evaluate telemetry signals in near real-time.
• Owned a Java GraphQL Employee API hosted on AWS ECS, used across a dozen internal IT Applications as a Tier-1 service reducing duplicate employee identification pipelines across teams.
• Designed and delivered React-based IT support feedback platform backed by AWS, enabling thousands of internal users to rate IT support interactions and driving measurable service-quality improvements.
• Led development of an AI Agent assistant for our GraphQL service using AWS Bedrock, reducing on-call load for engineers by ~20% by improving response time for onboarding and schema related questions.

Aug 2022 – Nov 2023 · 1 yr 3 mos

• Alexa AI - Local Information
• Conducted in-depth analysis of customer queries to identify patterns with high Customer Perceived Defection Rate (CPDR). Performed customer intent analysis and ran structured A/B experiments to validate and refine response strategies, improving relevance and self-service resolution rates.
• Developed solutions to reroute high CPDR queries to a Web-based Question and Answering API (WBQA) for more relevant responses, resulting in a worldwide reduction in CPDR by 2%.
• Built PySpark + AWS data workflows to extract and publish customer signals, enabling development of an ML ranking model that improved local search relevance.

Oct 2025 – Jan 2026 · 3 mos · Austin, Texas, United States · Remote

• Designed and built a full end-to-end RAG pipeline powering an AI book companion product (Ember) used by 50 users.
• Implemented presigned S3 upload flow for large EPUB/PDF ingestion, Lambda-based text extraction, custom chunking logic, embeddings generation, and storage in user-isolated vector indexes to ensure privacy and retrieval correctness.
• Architected the backend using AWS (S3, Lambda, API Gateway, Cognito, RDS) and developed the API layer for retrieval, chat orchestration, and metadata management.

Jun 2021 – Aug 2021 · 2 mos · Richardson, Texas, United States

• Member of the Software Platform team - collaborated daily in an Agile-like environment.
• Developed “Program Board” tool with Python, a set of scripts used by engineers at FNC that automates setting up Uboot environment variables and runs an install boot to recover network server blades from a corrupt state or to completely install a new image onto the system.
• Worked on upgrading the Linux Kernel for Fujitsu System Software (FSS) by removing duplicate component recipes, building FSS images, and testing them in a QEMU instance.

Oct 2018 – May 2019 · 7 mos

• Worked on duplicating polishing magnetic fluids while testing their efficiency and viscosity, as a lab assistant.

Aug 2018 – May 2019 · 9 mos

• Assigned as leader of the hardware team, and was tasked to design a cost-efficient, yet functional, wearable device that could house electronic components.