Saurabh Deshpande

AI Researcher

Bengaluru, Karnataka, India21 yrs 2 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in machine learning and deep learning technologies.
Proven track record in developing AI solutions for major companies.
Strong mentoring experience in technical fields.

Stackforce AI infers this person is a Machine Learning and AI expert with extensive experience in developing solutions for enterprise applications.

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Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Statistical ModelingDeep LearningNatural Language Processing (nlp)Data ProcessingOptimizationAlgorithmsVideo Processing

Other Skills

Stochastic CalculusResearchSignal ProcessingPythonTensorFlowRC++MatlabNeural NetworksSpeech RecognitionMapReducePattern RecognitionStochastic ModelingOptimal Control

About

Machine Learning Researcher | Deep Learning for Image, Speech and Natural Language Technologies | Mentoring Talent

Experience

21 yrs 2 mos

Total Experience

2 yrs 11 mos

Average Tenure

5 mos

Current Experience

Amazon

Senior Applied Science Manager

Jan 2026 – Present · 5 mos

Microsoft

4 roles

Principal Applied Science Manager (Microsoft AI)

Jun 2024 – Dec 2025 · 1 yr 6 mos

ML solutions for safety of Generative Conversation and Search products

Principal Applied Science Manager (M365 Search)

Promoted

Oct 2022 – Jun 2024 · 1 yr 8 mos

ML solutions for ranking and relevance

Principal ML Scientist (M365 Search)

Sep 2022 – Oct 2022 · 1 mo

Senior Applied Scientist (M365 Search)

Jan 2019 – Sep 2022 · 3 yrs 8 mos

M365 Search - Ranking and Relevance

Citi

Assistant Vice President (Machine Learning Research)

Jul 2017 – Dec 2018 · 1 yr 5 mos · Bengaluru, Karnataka, India

Understanding customer call interaction with bank executives using Deep Learning-based Speech Recognition and NLP.
Predictive future customer transactions using RNNs.
Leading the Technical Experts Forum.
Delivering training on Deep Learning and mentoring interns.
Coordinating Research Activities and Ideation Contests.

Netapp advanced technology group

Researcher

Sep 2014 – Jun 2017 · 2 yrs 9 mos · Bangalore

Developing machine learning models for predicting system performance using historical telemetry data.

Abb corporate research

Researcher

Jun 2012 – Sep 2014 · 2 yrs 3 mos · Bangalore

Developing machine learning models from industrial datasets.
Developing large-scale data processing algorithms for ABB's main cloud research initiative. It involves mining large industrial datasets using MapReduce on MongoDB (C++, Javascript) and Hadoop (Python) to gain novel insights about industrial processes.
Developed an energy minimization algorithm capable of running on very low-memory platforms that eliminated need of investing in separate hardware. The invention has been filed for patent by ABB.

Epfl

Doctoral Researcher

Aug 2007 – Feb 2012 · 4 yrs 6 mos · Lausanne, Vaud, Switzerland

Developed expertise in optimization theory and algorithms, modeling of deterministic and stochastic systems and applications of signal processing. The main results of my thesis were published in the SIAM Journal on Control and Optimization.