Navya Mehta

Early Engineer - ML Compilers @ EnCharge AI
4+ years building early-stage ML inference and compiler systems. Ex-Groq, Jane Street, Splunk
Canada Active this week
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Services

$200 / month

Love to talk with engineers to build a deeply technical skillset in big tech, early startups etc.

2 calls per month (60min/call)

Unlimited Q&A via chat

Expect responses in 24 hours or less

Hands-on support

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About

I love building 0-1 products to tackle deeply technical problems to hope to have an outsized impact on the world.

I'm an early-stage engineer (Series A) at EnCharge AI, helping build the software stack for a novel analog-based edge chip. My work spans building new hardware-aware placement/scheduling algorithms for our chips, researching new defragmentation and memory allocation heuristics, leading numerical stability experimentation to ship quantized models, and more.

I was a founding engineer at WOMBO AI, helping build the company for over 2 years. I've built large scale machine learning inference projects for > 3 billion inferences, designed <100ns semantic search-driven content recommendation systems, and scaled our backend to > 3 million daily users.

I've previous worked at Jane Street, Groq, Splunk, and BMO Capital Markets, across low-latency trading systems, compilers for custom hardware, rapid prototyping systems for security apps, and more.

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