About
Senior Software Engineer with 10 years of experience building scalable backend systems, AWS-native architectures, and production ingestion pipelines. Technical lead on modernization initiatives supporting mission-critical global publishing workflows at Amazon. Experienced in Kotlin, Java, Python, and serverless AWS ecosystems. Applied AI consultant designing modular RAG and agent-based automation platforms. Known for strong operational ownership, mentoring engineers, and delivering measurable improvements to system performance, reliability, and developer productivity.
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Skills
Languages
Cloud & Infrastructure
Backend Engineering
Data & Analytics
AI & Automation
Experience
Amazon
Software Development Engineer II
- Led the redesign of a mission-critical ebook asset ingestion platform, consolidating bifurcated ingestion paths, modernizing legacy procedural code, and introducing extensible, polymorphic architectures — reduced attribute development effort by 35%, increased ingestion throughput by 55%, and lowered support burden by 20%
- Served as the team's AI adoption lead, evaluating and prototyping LLM-powered tooling, integrating AI-assisted workflows into engineering processes; built a CLI leveraging Amazon Q to automatically port legacy procedural code to Kotlin with comprehensive unit tests, increasing migration velocity by 75%
- Designed and implemented backend services and APIs in Kotlin and Java to support near-real-time and batch ingestion workflows processing thousands of files per day for global publishers
- Owned production deployments and AWS infrastructure using CDK, Lambda, S3, DynamoDB, Step Functions, Kinesis, and SQS, ensuring secure ingestion pipelines with encryption at rest/in transit
- Actively participated in on-call rotations, leading incident response, postmortems, and preventative fixes for ingestion and metadata processing systems
- Mentored 5 engineers and 2 interns and conducted ~100 technical and behavioral interviews
Amazon
Software Development Engineer I
- Played a key role in merging two massive, disparate legacy content management systems into a single unified stack (Angular/Kotlin), eliminating redundant infrastructure
- Implemented shadow-read integration patterns to safely migrate an asset ingestion search backend from a legacy platform to Elasticsearch with zero downtime
- Implemented integrations with AWS services including SQS, Kinesis, and Lambdas
Amazon
Support Engineer III
- Delivered operational improvements and monitoring enhancements reducing production incidents
- Rapidly promoted to SDE I in under 8 months by demonstrating SDE-level coding contributions and deep system understanding
Independent Consultant
AI & Software Engineering
- Architected modular Retrieval-Augmented Generation (RAG) platform for enterprise document intelligence workflows
- Designed agent-based orchestration system automating large-scale document processing tasks
- Built model-agnostic infrastructure supporting OpenAI, Anthropic, and Gemini APIs
- Delivered automation workflows reducing repeated manual processing effort by 70%
Agrible, Inc.
Software Engineer
- Designed and implemented a hail monitoring application processing multiple live radar-derived products to provide actionable alerts to 100+ farmers within 60 seconds of detection
- Built scalable backend services in Python using Pandas/NumPy/SciPy to process terabytes of agronomic model data
- Optimized PostgreSQL and MongoDB query patterns to handle daily ingestion of gigabytes of environmental data
- Served as Scrum Master for a team of 8, improving sprint velocity by 15% through process optimization
CRETMO
Co-Founder & Lead Engineer
- Co-founded a medical IoT startup developing wearable devices to reduce repetitive strain injuries for manual wheelchair users
- Led end-to-end hardware and software engineering, including embedded firmware (C/C++), sensor data processing, and Bluetooth mobile integrations
- Partnered with Mayo Clinic for clinical research trials, resulting in a granted U.S. patent and peer-reviewed publications
Education
M.S. Civil & Environmental Engineering
University of Illinois at Urbana-ChampaignFocus: Autonomous Systems & Robotics
Scholarship: Bill & Melinda Gates Foundation Scholar
Thesis: Developed an autonomous ground rover for agricultural sub-canopy sensing using LIDAR, RTK GPS, Computer Vision and Python.
B.S. Atmospheric Sciences
University of Illinois at Urbana-ChampaignCore CS: Data Structures & Algorithms, Distributed Systems, OOP, Database Design
Capstone: Developed interactive stereoscopic satellite imagery visualization software for NASA JPL (MISR Mission).
Publications & Patent
- Patent (US10456078B2): Wearable device and system for preventative health care for repetitive strain injuries.
- Ground-Based Robotic Sensing of an Agricultural Sub-Canopy. American Geophysical Union
- Repetitive strain injury and manual wheelchair propulsion: An ergonomic analysis and development of an affordable wearable device. 2015 Applied Ergonomics Conference