---
title: Resume | Sudhanva Narayana
description: Searchable professional experience, education, skills, and measured outcomes.
canonical: https://sudhanva.me/resume/
last-updated: 2026-10-19
---

# Resume | Sudhanva Narayana

Sudhanva Narayana is a Senior Machine Learning Engineer based in the San
Francisco Bay Area specializing in production ML systems, infrastructure,
inference, model serving, Kubernetes platforms, distributed training (PyTorch
DDP, torchrun, NCCL, LoRA/PEFT), and reliability across AWS, GCP, and Azure.

## Experience

- **Montai Therapeutics, Senior Machine Learning Engineer, Jul 2023–present.**
  Architected and led the distributed inference system for drug-candidate
  screening (10B+ predictions in under three hours across multi-GPU fleets).
  Led and built the company ML compute platform on Kubernetes, Ray, and Flyte.
  GPU-aware autoscaling and Prometheus/Grafana monitoring cut annual cloud spend
  by over $500,000. Built a self-serve ML platform that cut time to insight from
  days to minutes, plus a model evaluation leaderboard queryable by researchers
  and MCP agents.
- **Autodesk, Machine Learning Engineer Intern, May–Jul 2022.** Shipped a
  real-time transformer for next-click prediction scoring 1M+ daily user
  interactions at low p99 latency
  ([write-up](https://sudhanva.me/blog/posts/real-time-transformer-prediction-at-autodesk/)).
- **Pixxel, Machine Learning Engineer, Jun 2020–May 2021.** Designed
  multi-region ML inference infrastructure for satellite imagery that improved
  inference efficiency by 75% and cut map-rendering latency by 50%. Built
  distributed GPU scheduling and ETL pipelines processing 10 TB daily.
- **Initiable Intelligence, Machine Learning Engineer, May 2019–May 2020.**
  Led a four-engineer team to build and ship an NLP chatbot inference API and
  SDK adopted in production by 10–15 startups.
- **DCT Academy, Software Engineer, Jan 2017–May 2019.** Built a performance-based
  assignment recommendation engine (+60% student engagement) and a classroom
  platform with automated grading across 20 cohorts.

## Education

- M.S. in Artificial Intelligence, Northeastern University, 2023
- B.S. in Computer Science, PES University, 2016

- [Searchable HTML resume](https://sudhanva.me/resume/)
- [Resume PDF](https://sudhanva.me/sudhanva-narayana-mle-resume.pdf)
- [Production case studies](https://sudhanva.me/work/)