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Dharmesh Rajput
Engineering Manager - AI
Education Overview
Companies Overview
• turing
• upliance.ai
• indiap2p
• piblitz technologies
• piblitz
• unipath solutions llp
• freelance
Experience Overview
7.8 Years
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Experience
Skills
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Agile Project Management
AIOps
Algorithms
Amazon EC2
Amazon S3
architecture
Artificial Intelligence (AI)
Artificial Neural Networks
Competitive Programming
Cross-functional Team Leadership
Data Structures
Decision Trees
Deep Neural Networks (DNN)
Django
Engineering Management
Flutter
Fundraising
Generative AI
Goal Seek
Intelligent Systems
JavaScript
Large Language Models (LLM)
Leadership
Machine Learning
Matplotlib
MongoDB
MySQL
Nest js
NestJS
Next.js
NextJS
No Skill only WILL
Node js
Node.js
NodeJS
NumPy
Pandas (Software)
Problem Solving
Project Management
Python (Programming Language)
PyTorch
React.js
ReactJS
Recommender Systems
Redux
Redux.js
Regression Models
Reinforcement Learning
Scikit-Learn
Self-confidence
Senior Software Engineer
Systems Design
Team Building
Team Motivation
Technical Architecture
Technical Documentation
Technical Leadership
TensorFlow
TypeScript
Unsupervised Learning
Contact Details
Email (Verified)
xxxxxxxx@xxxx.xxMobile Number
+91XXXXXXXXXXEducation
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Frequently asked questions
What company does Dharmesh Rajput work for?
Dharmesh Rajput works for turing
What is Dharmesh Rajput role in his workplace?
Dharmesh Rajput's role in his workplace is Engineering Manager
What is Dharmesh Rajput's tenure in his workplace?
Dharmesh Rajput's tenure in his workplace is 0.34 years
What is Dharmesh Rajput's total experience?
Dharmesh Rajput's total experience is 7.75 years
What is Dharmesh Rajput's LinkedIn profile?
What is Dharmesh Rajput's email address?
What is Dharmesh Rajput's phone/WhatsApp number?
What companies has Dharmesh Rajput worked with?
Dharmesh Rajput has worked with turing, turing, upliance.ai, turing, indiap2p, piblitz technologies, piblitz, unipath solutions llp, freelance
What are some of Dharmesh Rajput's skills?
Dharmesh Rajput has skills in Agile Project Management, AIOps, Algorithms, Amazon EC2, Amazon S3, architecture and more.
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