# Hugo Lin

> Senior Software Engineer | Startup | SMB | Agent | AI/ML | LLM | RAG

Location: San Antonio, Texas, United States
Profile: https://flows.cv/hugolin

Senior Software Engineer building Software & AI products across startups, SMBs, and Fortune 500. Record
of delivering production-ready solutions in healthcare AI, generative AI agents, and global marketplaces, with
hands-on expertise in LLMs, RAG, and scalable data/engineering systems. Adept at driving innovation from
early-stage prototypes to enterprise-grade deployments, bridging technical depth with product impact.

Backend Development
Python • Node.js • C# • .NET • Go • PHP • Django • Flask • FastAPI • Nest.js
Frontend Development
HTML • CSS • JavaScript • TypeScript • React • Next.js • Vue.js • Tailwind CSS
Cloud, Database & DevOps
PostgreSQL • MySQL • MongoDB • Amazon Web Services • EC2 • S3 • RDS • DynamoDB •
Lambda • Google Cloud • Cloud SQL • Microsoft Azure • Docker • Kubernetes • Terraform
AI & Data Technology
Elasticsearch • Apache Spark • Kafka • AirFlow • Flink • Snowflake • DataDog • LLM • RAG •
OpenAI • GPT • Claude • Anthropic • DeepSeek • Qwen • HuggingFace • LangChain • LangGraph

## Work Experience
### Senior Software Engineer @ Hippocratic AI
Jan 2023 – Jan 2025
- Built and optimized voice-first generative AI agents for healthcare, addressing use cases such as post-discharge follow-ups, screening outreach, scheduling, billing explanations, and chronic-care check-ins.
- Contributed to development of Polaris 3.0, a 4.2T-parameter LLM constellation of 22 models, improving clinical accuracy to 99.38%.
- Integrated agent workflows with major EMR systems (Epic, Cerner, Salesforce, Athena), enabling seamless provider and payor adoption.
- Supported launch of the AI Agent App Store, enabling licensed clinicians to design and monetize safe, specialty-specific healthcare agents.
- Enhanced patient experience with multilingual agents, including bilingual deployments such as WellSpan’s Ana for Spanish-speaking CRC screening outreach.
- Collaborated on safety pipelines using automated evals and 6,000+ clinician reviewers across 307K+ simulated calls, ensuring zero severe-harm errors.
- Delivered measurable patient engagement outcomes: 89.3% connect rate, 96.5% call completion, and satisfaction score improvement from 8.72 → 8.95/10.

### Senior Software Engineer @ Salesforce
Jan 2023 – Jan 2023
- Integrated Airkit.ai’s no-code AI agent platform into Salesforce Service Cloud, enabling end-to-end customer service automation across chat, SMS, voice, and email.
- Contributed to foundational work that evolved into Salesforce Agentforce, the company’s cross-cloud autonomous AI agent platform.
- Delivered technical enhancements ensuring agent workflows operated seamlessly within the Einstein 1 / Customer 360 stack.

### Senior Software Engineer @ Airkit.ai
Jan 2021 – Jan 2023
- Built code-free AI service agents handling commerce workflows such as order status, returns/exchanges, product issues, and support across chat, SMS, voice, and email.
- Developed API-driven customer experiences using REST connectors and integrations with platforms including Zendesk, Twilio, Stripe, and SAP.
- Implemented low-code orchestration pipelines enabling enterprises to launch omnichannel agents without custom infrastructure.
- Contributed to performance optimization of agent runtime, ensuring high-volume request handling and reliable automation across Fortune 500 deployments.
- Authored internal engineering documentation and sample applications, including

### Founding Software Engineer @ Zephyr AI
Jan 2020 – Jan 2021
- Applied ML to large in-vitro screening datasets, uncovering novel drug–mutation interactions, including azithromycin’s sensitivity to KLK6 mutation status.
- Implemented machine learning pipelines to identify cancer cell vulnerabilities associated with TERT expression, surfacing dependencies in HDAC1 and Complex I genes.
- Built scalable data processing workflows to integrate diverse clinicogenomic and biomedical datasets for precision medicine research.
- Contributed to early biomarker discovery models supporting patient stratification for oncology trials and targeted therapy development.
- Co-authored and validated ML approaches documented in Oncogene (2021) publications linking drug responses with cancer cell biomarkers.

### Software Engineer @ Airbnb
Jan 2017 – Jan 2020


## Education
### University of Southern California


## Contact & Social
- LinkedIn: https://linkedin.com/in/hugolin333

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Source: https://flows.cv/hugolin
JSON Resume: https://flows.cv/hugolin/resume.json
Last updated: 2026-03-22