Quick Responder

Navya Mehta

Tech Lead - Core ML Compilers @ EnCharge AI
5.0
(3 reviews)
4+ years building early-stage ML inference and compiler systems. Ex-Groq, Jane Street, Splunk
Canada Active today Usually responds in half a day

Services

$230 / month

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  1. 1 Free intro call
    No card needed to book.
  2. 2 Ongoing calls + chat
    2 calls per month, unlimited Q&A. Replies in 24 hours or less.
  3. 3 No lock-in
    Month to month, no contract.
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MentorCruise summary

Navya is a Tech Lead for Core ML Compilers at EnCharge AI. He has more than four years of experience building machine learning inference and compiler systems, including work at Groq, Jane Street, Splunk, and WOMBO AI. He helps machine learning practitioners understand ML compiler systems, explore technical career options, and work through engineering questions.

Based on 2 verified mentee reviews

  • Two reviewers praise his clear, thoughtful explanations of technical topics, including ML compilers and questions across finance, machine learning engineering, and software engineering.

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, building the compiler (mapping, placement, allocation, scheduling) 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.

What mentees say

5 out of 5 stars

Saiesh

Saiesh

Standard Plan • 1 year

5 out of 5 stars

Navya is deeply knowledgeable about various fields related to finance, MLE and SWE. He has many unique and valuable insights about future tech trends! He answered my questions thoughtfully and clearly and I learned a lot from my conversations with him!

Chunge

Chunge

Session: Ask Me Anything - 60 …

5 out of 5 stars

I had an opportunity to speak with Navya about the various career options available to me at this stage of my career. Navya introduced me to ML Compilers and explained how they fit within AI systems, using excellent examples that further sparked my interest in the field. It was a fantastic session which was super worth of time, and I look forward to speaking with him more and seeking his guidance as I learn further.

Karthikeyan

Karthikeyan

Session

What happens when you start

You tell Navya your goals. They see exactly what you want to work on before session one.

You meet within days. Navya reviews your application and books your first session, usually within a day or two.

You leave with a plan. Concrete next steps and a weekly rhythm from your very first week.

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