# Ethan Deng

> Senior Software Engineer @ Noetica

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/ethandeng

Software Engineer specialized in Fullstack development and Infrastructure with additional expertise in machine learning. Skilled in implementing scalable, data-driven solutions that enhance both product capabilities and system efficiency. Strong ability to collaborate across teams and adapt to new technologies. Experienced in managing end-to-end project lifecycles.

## Work Experience
### Senior Software Engineer (Acquired by Thomson Reuters) @ Noetica
Jan 2026 – Present

### Software Engineer @ Noetica
Jan 2024 – Jan 2026 | New York, NY
Acquired by Thomson Reuters


product & platform & infra
- Engineered flagship customer-facing features, directly driving enterprise contract acquisitions, high-stakes sales demos, and fundraising
- Owned the company-wide Observability strategy from inception to adoption, driving vendor negotiations, Grafana architecture, and long-term telemetry standards
- Spearheaded the Data Gateway development and integration, establishing an architectural cornerstone that abstracts data access to drive system security and developer ergonomics
- Acted as the de facto DevOps lead, bridging backend architecture and cloud provisioning to build resilient, scalable systems
- Executed cross-functionally across frontend, backend, and infrastructure, delivering end-to-end solutions to support internal operations and high-growth product capabilities

### Site Reliability Engineer @ Kyte
Jan 2024 – Jan 2024
Built infrastructure for services at Kyte

- Managed and contributed to infrastructure improvements, enhancing reliability, scalability, performance, and observability across compute, storage, security, network layers for engineering team, utilizing AWS, Terraform, Kubernetes, and DataDog
- Co-Led org-wide API Gateway adoption, coordinated with microservice owners to drive migration, improving security
- Enhanced observability and issue monitoring, achieving $48K/yr savings in telemetry ingestion, 10% faster database performance through query optimization, and improved pytest runtime via parallelization
- Proposed and led CI/CD pipelines and runners overhaul, reducing wait time by 75% (~6 dev-hours/day) and saving $12K/yr 
- Automated backup and implemented disaster recovery for Vault and RDS (PostgreSQL) using Airflow, EKS, and ArgoCD

### Machine Learning Engineer @ Find AI
Jan 2023 – Jan 2024 | San Francisco Bay Area
ML Infra/MLOps & Backend - $8m in funding, backed by Daniel Gross, Felicis Ventures, etc.

- Led end-to-end integration of large language models that powers core AI functionalities encompassing backend development, ML infrastructure, MLOps(model fine-tuning, serving/deployment, evaluation, and data wrangling & pipeline)
- Developed core backend components in Go, including ML service integration, A/B testing, content-based recommendation system, improving engagement and data-driven optimizations utilizing Postgres, ClickHouse, Elasticsearch
- Architected and maintained distributed GPU machine learning infrastructure using Kubernetes and Grafana, scaling to handle 1 million daily requests with 98% uptime while ensuring high availability, fault tolerance, and observability
- Cut infrastructure costs by $400K/yr through LLM inference optimization using concurrency tuning, batching, quantization
- Built data pipeline for extensive data wrangling of 15M+ data points and fine-tuned Large Language Models with curated data, increasing user satisfaction by 25% with Pandas, WandB, Axolotl

### Full Stack Engineer @ Find AI
Jan 2023 – Jan 2023
- 4th Employee
- Drove cross-functional product efforts in full-stack development using React Native, Express, and PostgreSQL, resulting in 10% increase in 7-day user retention and 50% longer session duration for 30K+ customers
- Collaborated with marketing team to develop and integrate granular tracking of user engagement metrics, funnel analysis, and revenue attribution, driving 50% improvements in user acquisition and enabling data-driven decision-making
- Architected and implemented ETL pipelines using Redis and PostgreSQL yielding 7% annual service costs savings
- Led development of natural language-driven data analysis and management dashboards using React.js, Express, and PostgreSQL, resulting in successful investor demos and early access to GPT models
- Implemented smart spreadsheet linked to databases and external platforms that enables better data management
- Built a self-serve onboarding system for new customers allowing for integration of multiple data platforms

### Undergraduate Research Assistant @ UCI Health
Jan 2022 – Jan 2023

### Software Engineer @ Spaceflare
Jan 2022 – Jan 2022


## Education
### Bachelor's degree in Computer Science
UC Irvine


## Contact & Social
- LinkedIn: https://linkedin.com/in/ethan-yuyang-deng

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Source: https://flows.cv/ethandeng
JSON Resume: https://flows.cv/ethandeng/resume.json
Last updated: 2026-03-21