Nitant Vaidya

Director of Engineering

Mountain View, California, United States12 yrs 2 mos experience

Highly Stable

Key Highlights

Over 10 years of experience in engineering leadership.
Built SaaS products and scaled them from 1 to 100.
Led teams at top Silicon Valley companies.

Stackforce AI infers this person is a SaaS Engineering Leader with extensive experience in product development and team management.

Contact

Skills

Core Skills

Infrastructure EngineeringService ArchitectureProduct ManagementEngineering Leadership

Other Skills

grpc/protobuf/avrographqlRPC clientsload-balancingoverload protectionATSsearchable talent poolproduct strategyroadmapAlgorithmsC++JavaCPythonProgramming

About

I am a seasoned engineering leader with over 10 years of experience building online software products at top silicon valley companies. I love to create value for mission-driven software companies through technology shipped by high functioning engineering teams. I have excellent taste for building the right software, and I prioritize shipping quickly with a high-level of engineering rigor. I’ve built SaaS products, planet scale software infrastructure and consumer products at LinkedIn and Turing. I’ve built products from scratch as well as scaled them from 1->100. I’m a reliable partner to my business stakeholders and an inspiring leader that drives the team to ship software they are proud of and for a vision they believe in. I’ve held critical eng leadership roles at Turing (a fast-scaling startup valued at 1.1 Billion) and LinkedIn. Graduated from one of the world’s most highly selective Computer Science programs at the Indian Institute of Technology - Bombay.

Experience

12 yrs 2 mos

Total Experience

5 yrs 2 mos

Average Tenure

1 yr 10 mos

Current Experience

Sr Engineering Manager

Jul 2024 – Present · 1 yr 10 mos · Sunnyvale, CA · On-site

Lead engineering for LinkedIn's RPC, Service Core Infrastructure, Online Data Access and Modeling infra.
Domains: grpc/protobuf/avro, graphql, RPC clients, load-balancing, overload protection.

grpc/protobuf/avrographqlRPC clientsload-balancingoverload protectionInfrastructure Engineering+1

Turing.com

2 roles

Senior Director Of Engineering

Promoted

Apr 2022 – Jun 2024 · 2 yrs 2 mos · San Francisco Bay Area

Senior engineering leader responsible for Turing’s ATS and searchable talent pool product - Matching System. Shipped critical functionality in this vital product to help scale Turing into a $1.1 Billion business.
Helped hire the engineering leadership team, set engineering culture. Shaped product strategy and roadmap.

ATSsearchable talent poolproduct strategyroadmapProduct ManagementEngineering Leadership

Director of Engineering

Mar 2021 – Apr 2022 · 1 yr 1 mo · San Francisco Bay Area

Helped scale the engineering team with 50+ hires for leads and ICs. Helped hire PM leaders and ICs. Helped set the product strategy.
Critical products shipped with significant business impact:
Self-Serve platform
Developer Communications Portal
Lead Generation System.

5 roles

Sr Engineering Manager

Jan 2021 – Mar 2021 · 2 mos

Engineering Manager

Promoted

Jul 2018 – Jan 2021 · 2 yrs 6 mos

Leading the Traffic Infrastructure dev team.

Staff Software Engineer

Dec 2017 – Jul 2018 · 7 mos

Traffic Infrastructure

Senior Software Engineer

Oct 2015 – Nov 2017 · 2 yrs 1 mo

Tech lead for Sales Navigator Search and Desktop Experience.

Software Engineer

Oct 2013 – Sep 2015 · 1 yr 11 mos

Full stack engineer and tech lead on LinkedIn Placements: A tool that brings college students, recruiters and college admin officials together to aid the hiring process.
Built and deployed the search index for slideshare content. Oversaw development of search index for influencer articles.

Microsoft

Intern

May 2012 – Jul 2012 · 2 mos · Bangalore

Formulated a new problem - “Mortal Multi-Armed bandits with differing lifetime estimates” to appropriately model the ad-serving and query rewrite ordering problems
Proposed a new algorithm for above problem; theoretically proved its regret bounds and experimentally showed that it works 40% better than a baseline approach
Implemented an Active Exploration based approach to learn rankings using clickthrough data
Received a Pre-Placement Offer

Deutsche bank

Intern

Nov 2011 – Dec 2011 · 1 mo · Mumbai Area, India

Analyzed three frequently used, but time consuming back-testing routines for parallelization
Achieved upto 100x speedup by implementing them using a parallel execution framework (nVidia CUDA); provided justification as to why the exact speedup varied from case to case
Identified the problem features for which the aforementioned technology works best

Eth, swiss federal institute of technology, zurich

Intern

May 2011 – Jul 2011 · 2 mos · Zurich

Achieved 70% accuracy in handwritten digit recognition using k-means clustering on outputs of neural networks composed of both excitatory and inhibitory neurons; key to understanding how patterns are recognized by the brain
Critically compared two popular neuron models (LIF & Izhikevich Model) elucidating the conditions when they can be used interchangeably using both a theoretical as well as an experimental approach