$230 / month
2 calls per month (60min/call)
Unlimited Q&A via chat
Expect responses in 24 hours or less
Hands-on support
Start with a free intro call to see if it's the right fit.
$230 / month
2 calls per month (60min/call)
Unlimited Q&A via chat
Expect responses in 24 hours or less
Hands-on support
$230 / month
2 calls per month (60min/call)
Unlimited Q&A via chat
Expect responses in 24 hours or less
Hands-on support
$230 / month
Start free, decide later
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
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.
5 out of 5 stars
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!
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.
Session
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Navya Mehta
Tech Lead - Core ML Compilers at EnCharge AI
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Whatever doesn't fit the mold: Get 30 minutes with a mentor to discuss your needs. Be it help with some code, discussing through an issue …
Whatever doesn't fit the mold: Get a full hour with a mentor to discuss your needs. Be it help with coding something, deciding on a …
