Prince Narula

Software Engineer

New Delhi, Delhi, India7 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Deep Learning and Computer Vision.
  • Proven track record in API Development for AI models.
  • Strong background in Business Development and client acquisition.
Stackforce AI infers this person is a skilled AI developer with a focus on deep learning and computer vision.

Contact

Skills

Core Skills

Deep LearningComputer VisionApi DevelopmentBusiness Development

Other Skills

Machine LearningImage ProcessingPythonTensorFlowKerasC++FlaskCGoogle CloudMATLABOpenCVElectronicsGoogle Cloud PlatformGitPandas

About

His conscience is driven by a desire to help mankind achieve the Westworld dream.

Experience

7 yrs 9 mos
Total Experience
2 yrs 7 mos
Average Tenure
4 yrs 10 mos
Current Experience

Amazon

Software Development Engineer

Jul 2021Present · 4 yrs 10 mos · Bengaluru, Karnataka, India

Deep LearningComputer VisionAPI DevelopmentMachine LearningImage ProcessingPython+4

Oppo

2 roles

Senior Software Engineer

Promoted

Oct 2020Jul 2021 · 9 mos

Software Engineer

Jun 2019Oct 2020 · 1 yr 4 mos

Giscle systems

Deep Learning and Computer Vision Intern

May 2018Jul 2018 · 2 mos · Bengaluru Area, India

  • With the opportunities endowed upon me under the guidance of GISCLE Sytems, I managed to expand my knowledge spectrum by completing the following projects:
  • Crowd Annotation
  • Building a MATLAB script that generates ground truth density driven .mat files, compatible with standard crowd counting datasets like ShanghaiTech and UCF, corresponding to head annotations provided on crowd images for training and testing popular crowd counting models
  • Crowd Counting
  • Building an end to end deep learning model that can count the number of people in various scenarios of varying crowd densities
  • Object Counting
  • Adapting the YOLO object detection darknet model for the purpose of counting eight different classes of objects, which are typically encountered in Indian road scenarios, by adding additional scripts and training the detection model with the corresponding configuration file
  • Web Service APIs for designed AI models
  • Designing the restful APIs for crowd counting and object counting deep learning models to serve the students and active researchers without any monetary benefits
  • Technologies used: C, C++, Flask, Google Cloud, HTML, JavaScript, jQuery, Keras, Python, MatConvNet, MATLAB, OpenCV, TensorFlow
CC++FlaskGoogle CloudKerasPython+5

The education tree

Business Development Intern

Jun 2016Aug 2016 · 2 mos · New Delhi Area, India

  • Helped in statistical analysis and auditory demonstrations
  • Events: Empowerment of Women, Pokewalk, Walk through Old Delhi

Pocketin (acqui-hired by oneloyalcard)

Assistant Vice President

Jan 2016Nov 2016 · 10 mos · New Delhi Area, India

  • Helped in business development, strategy analysis, sales and marketing
  • Solely responsible for acquiring 50+ clients
Business Development

Education

Delhi Technological University

Bachelor of Technology - BTech — Electrical and Electronics Engineering

Jan 2015Jan 2019

Mira Model School, Janakpuri

Jan 2002Jan 2014

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