# Siddhant Nitin Patil

> Founding Engineer at Teamcast | Building AI that ships to production

Location: Palo Alto, California, United States
Profile: https://flows.cv/siddhantnitinpatil

I’m a Full-Stack AI Engineer who builds practical AI products end to end: the UI people use, the services behind it, and the pipelines that keep it reliable.

I’ve worked on:
 AI-driven hiring workflows at Teamcast, where the goal is simple: help recruiters make faster, higher-confidence decisions while keeping humans in control.
 Data + ML tooling for non-technical stakeholders, including a dashboard that made model outputs easier to review and discuss.
 Production pipelines and APIs, like automating ingestion from SFTP → SQS → S3, and shipping FastAPI services with health checks and observability.

I care about the boring parts that decide whether AI is usable: clear product boundaries, repeatable behavior, and evaluation that matches real outcomes (not demo vibes). If a feature can’t survive noisy inputs, edge cases, and compliance constraints, it’s not done.

Every week I write about what is actually shifting in AI -- not benchmarks and hype, but the infrastructure decisions and real-world constraints underneath them

## Work Experience
### Founding Engineer @ Teamcast.ai
Jan 2025 – Present | Palo Alto, California, United States
Founding member building production-grade AI hiring systems that drive real decisions.

### Founding Member @ humancloud
Jan 2023 – Present | Mountain View, California, United States
Founding member owning both system delivery and early go-to-market execution as Humancloud evolved from bespoke client work into repeatable, production-grade offerings across AI, legal, fintech, and compliance-heavy domains.

### Software Engineer @ humancloud
Jan 2022 – Jan 2023 | Mountain View, California, United States

### Software Engineer @ California State University, Long Beach
Jan 2024 – Jan 2025 | Los Angeles, California, United States
Owned the design and delivery of internal data and ML-facing tools used by research and operations teams.

Took end-to-end ownership of a Next.js and Node.js dashboard to make ML decision trees interpretable for non-technical stakeholders, improving clarity and review confidence by ~40%

Re-architected a fragile manual ingestion process into an automated pipeline (SFTP → SQS → S3), increasing throughput 4× and removing daily operational intervention

Built and deployed FastAPI services with production-grade health checks, error handling, and observability, reducing API latency by ~30%

Worked directly with researchers and admins to translate vague requirements into shippable systems, balancing speed, reliability, and maintainability

The role went beyond implementation. I was trusted to make technical tradeoffs, unblock workflows, and leave systems in a better state than I found them.

### Workshop Facilitator @ Google Cloud Community India
Jan 2022 – Jan 2022 | India
Led hands-on GCP, Docker, and Kubernetes workshops for 2,500+ students, focused on deploying and scaling ML systems.


## Education
### Master of Science - MS in Computer Science
California State University, Long Beach

### Bachelor of Technology - BTech in Information Technology
Vishwakarma Institute of Information Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/siddhantnpatil
- Portfolio: https://www.siddhantnitin.com

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Source: https://flows.cv/siddhantnitinpatil
JSON Resume: https://flows.cv/siddhantnitinpatil/resume.json
Last updated: 2026-04-10