Sign In

Mani Parkhe

ML Infrastructure Engineer at Databricks

Mani Parkhe is a Sr. Staff Software Engineer at Databricks, specializing in ML and AI platform engineering.35 He works on various customer-facing and open source platform initiatives to enable data science and machine learning at scale.5

Prior to his role at Databricks, Mani held several positions in the tech industry:

  1. Senior Software Engineer at LinkedIn, where he worked on analytics infrastructure3
  2. Software Engineer at Uber, contributing to fraud prevention systems1
  3. Various positions at Mentor Graphics34
  4. Roles at Sierra Design Automation and Cadence Design Systems4

Mani has a strong background in software development, with experience in areas such as fraud prevention, buffer insertion for hold-violation removal, and variability-aware hierarchical implementation of big chips.1 He has contributed to publications and presentations in these areas, demonstrating his expertise in complex engineering challenges.

Mani is based in San Francisco, California, and has over 500 connections on LinkedIn.1 He is also active on GitHub, where he maintains 4 repositories related to his work in ML and AI.2

Highlights

Dec 8 · linkedin

Excited to unveil our groundbreaking new tech for enterprises! Boost the response quality of your real-time Gen AI applications by augmenting contexts with structured data. Effortlessly set up Feature and Function Serving endpoints powered by Online Tables.

Check out our latest blog post to learn more: https://lnkd.in/gimhQ4FN

Related Questions

What projects has Mani Parkhe worked on at Databricks?
How did Mani Parkhe contribute to Uber's fraud prevention systems?
What is Mani Parkhe's educational background?
What technologies does Mani Parkhe specialize in?
How long has Mani Parkhe been at Databricks?
Mani Parkhe
Mani Parkhe, photo 1
Mani Parkhe, photo 2
Add to my network

Location

San Francisco, California, United States