Ratnesh Jamidar

CTO

Gurgaon, Haryana, India10 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led global teams of 30+ ML engineers.
  • Managed multi-million dollar AI budget.
  • Delivered AI capabilities for 1,900+ enterprises.
Stackforce AI infers this person is a SaaS AI and Machine Learning leader with extensive experience in enterprise solutions.

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Skills

Core Skills

Generative AiMachine LearningDeep Learning

Other Skills

AlgorithmsAmazon Web Services (AWS)Apache KafkaApache SparkApache StormBashBig Data AnalyticsCC++CommunicationComputer VisionConversational AIDatabasesElasticSearchGoogle Cloud Platform (GCP)

About

Enterprise AI and machine learning leader specializing in generative AI, LLMOps, and agentic AI, with nearly a decade of experience building and scaling AI-native SaaS products across marketing, customer service, and consumer intelligence. I lead global, cross-functional teams of 30+ ML engineers and manage multi million annual AI budget to deliver NLP, computer vision, generative, and agentic capabilities embedded across Sprinklr’s Unified-CXM platform—used by 1,900+ enterprises worldwide, including 60% of the Fortune 100. I define and execute AI strategy for large-scale platforms making 10B+ AI predictions per day across 30+ digital and social channels, turning research into production systems that drive multi-million-dollar ARR while meeting strict enterprise standards for reliability, security, and compliance. Specialities: Big Data, Generative AI, Deep Learning for Text, Speech, and Visual Analytics, Artificial Intelligence, and Machine Learning

Experience

10 yrs
Total Experience
10 yrs
Average Tenure
10 yrs
Current Experience

Sprinklr

5 roles

AVP Engineering

Promoted

Aug 2022Present · 3 yrs 10 mos

Large-scale ProjectsTensorFlowTransformersTechnical ArchitectureQPSProduct Development+19

Director, Engineering

Promoted

Nov 2020Aug 2022 · 1 yr 9 mos

Large-scale ProjectsTensorFlowTransformersTechnical ArchitectureQPSProduct Development+20

Lead Data Scientist

Promoted

Apr 2019Nov 2020 · 1 yr 7 mos

TensorFlowTransformersQPSLinkerdPyTorchMLOps+5

Data Scientist

Promoted

Apr 2018Apr 2019 · 1 yr

TensorFlowTransformersLinkerdPyTorchCommunicationProblem Solving

Product Engineer

Jun 2016Apr 2018 · 1 yr 10 mos

QPSCommunicationProblem Solving

Samsung research institute

Summer Trainee

May 2015Jul 2015 · 2 mos · Greater Bengaluru Area

  • Project Mentor: Mr. Hari Krishnanan, Principle Engineer, Samsung Research Institute Bangalore
  •  Internship Project: Sluggishness Solution Formation by Analysis
  • ● Studied the brief overview of Android anatomy, physiology, app components, kernel and Virtual File System layer along with its data structure
  • ● Analyzed the logs of 3rd party i/o-sluggishness reduction applications by creating an android kernel patch in VFS layer
  • ● Deduced that 98% of “junk files” are cache files and blindly deleting would in fact cause i/o related sluggishness unless SSD is low on storage
  • ● Recommended a sluggishness reduction method by cleaning caches, prioritizing opening frequency, time relevancy and current SSD storage
Problem Solving

Education

Indian Institute of Technology, Kanpur

Bachelor of Technology (BTech) — Computer Science and Engineering

Jan 2012Jan 2016

LASEA ,Jhalawar

High School — Mathematics

Jan 2010Jan 2012

Central School

High School

Jan 2007Jan 2010

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