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Himanshu Dongre
Tokyo, Japan
I am an enthusiastic computer engineer with 8+ years of experience in software development/algorithm development for telecom, e-commerce, ADAS and autonomous driving solutions. Passionately curious about everything AI. Fortunate to have worked on some of the hardest problems in computer vision, deep learning and software design. Skills: Programming Languages- C, C++, Python, Rust Frameworks- ROS, Scikit-learn, OpenCV, TensorFlow, Keras, Pytorch Technologies- Machine Learning, Deep Learning, Computer Vision, Image Processing, Autonomous Driving, NLP Others- Git, Docker, Scrum/Less
CodersRank Score
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This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
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13.6
CodersRank Rank
Top 8%
Top 50
C#
Developer
Japan
Top 100
C++
Developer
Japan
Top 50
Jupyter Notebook
Developer
Japan
Highest experience points: 0 points,
0 activities in the last year
Jupyter Notebook
6
exp.
HTML
2.9
exp.
Python
2.6
exp.
C++
1.6
exp.
List your work history, including any contracts or internships
KPIT
3 years 4 months
Technical Lead
Apr 2021 - May 2022 (1 year 1 month)
• R&D Perception Pipeline for AD
• Designed a high-performance middle-ware to run proprietary lane and object detection models in parallel.
• Implemented a custom version of CenterNet using ONNX. Optimized the
algorithm to achieve 33 FPS with full-resolution input.
• Designed a high-performance middle-ware to run proprietary lane and object detection models in parallel.
• Implemented a custom version of CenterNet using ONNX. Optimized the
algorithm to achieve 33 FPS with full-resolution input.
Senior Software Engineer
Jan 2019 - Apr 2021 (2 years 3 months)
•Built a POC for Yolo based pipeline for Traffic Light Recognition.
•Build an image plain to real plane cuboid conversion algorithm for annotation
tool using image processing techniques.
•Implemented object/vehicle tracking using OpenCV and various monocular
object detection techniques/CNNs
•Developed low level and high-level API for Car operating system
development using C/C++ and Rust.
•Implemented self-driving cars speed control algorithm for traffic sign detection, time of day and environment conditions using C++ and ROS.
•Worked on Driver Camera System for Fatigue detection and Visual Attention tracking for automatic takeover including steering alert system.
•Worked on V-SLAM and graph optimisation using computer vision techniques and python.
•Build an image plain to real plane cuboid conversion algorithm for annotation
tool using image processing techniques.
•Implemented object/vehicle tracking using OpenCV and various monocular
object detection techniques/CNNs
•Developed low level and high-level API for Car operating system
development using C/C++ and Rust.
•Implemented self-driving cars speed control algorithm for traffic sign detection, time of day and environment conditions using C++ and ROS.
•Worked on Driver Camera System for Fatigue detection and Visual Attention tracking for automatic takeover including steering alert system.
•Worked on V-SLAM and graph optimisation using computer vision techniques and python.
Freelance Web Development
Feb 2017 - Dec 2018 (1 year 10 months)
Freelance Software Engineer
Worked on Machine Learning,Deep Learning and Web based projects
Accenture
2 years 11 months
Software Engineer
May 2015 - Jan 2017 (1 year 8 months)
•Developed scripts for automated usage processing for Data, SMS and MMS to facilitate testing.
•Successfully migrated from batch billing(Amdocs Charging) to real time billing(SAP Convergent Charging).
•Successfully upgraded Telus back-end Workflows from Mediation Zone 5 and Mediation Zone 6 to Mediation Zone 7
•Awarded ACE-Numero Uno Award for Q2 in FY2015
•Successfully migrated from batch billing(Amdocs Charging) to real time billing(SAP Convergent Charging).
•Successfully upgraded Telus back-end Workflows from Mediation Zone 5 and Mediation Zone 6 to Mediation Zone 7
•Awarded ACE-Numero Uno Award for Q2 in FY2015
Associate Software Engineer
Jan 2014 - Apr 2015 (1 year 3 months)
•Service and development of Self Serve and Smart Desktop applications for Telus.
•Service and development of SAP Convergent Charging to introduce real time rating for Telus.
•Introduced 4G internet across Telus.
•Service and development of SAP Convergent Charging to introduce real time rating for Telus.
•Introduced 4G internet across Telus.
Add some compelling projects here to demonstrate your experience
Art Generation With Neural Style Transfer
Mar 2018 - Present
•Completed Project on Neural Style Transfer
•Generated an image of the Louvre museum in Paris, mixed with a painting by Claude Monet, a leader of the impressionist movement
•Used VGG-19 with Neural Style Transfer (NST).
Technologies Used: Tensor flow,Sci-kit learn, Python
•Generated an image of the Louvre museum in Paris, mixed with a painting by Claude Monet, a leader of the impressionist movement
•Used VGG-19 with Neural Style Transfer (NST).
Technologies Used: Tensor flow,Sci-kit learn, Python
Music Generation using LSTM network
Mar 2018 - Present
•Completed Project on Music Generation using LSTM network
•Improvised a Jazz Solo with an LSTM RNN .
Technologies Used: keras, Python
•Improvised a Jazz Solo with an LSTM RNN .
Technologies Used: keras, Python
Trigger Word Detection for activating AI assistants
Mar 2018 - Present
•Completed Project on Trigger Word Detection to activate smart AI assistants like Google Assistant's "Hey Google",Amazon Echo's "Alexa" and Apple's "Siri".
•Structured a speech recognition project, synthesised and processed audio recordings to create train/dev datasets and trained a trigger word detection model and make predictions.
•Model uses 1-D convolutional layers, GRU layers, and dense layers.
Technologies Used: keras, Python
•Structured a speech recognition project, synthesised and processed audio recordings to create train/dev datasets and trained a trigger word detection model and make predictions.
•Model uses 1-D convolutional layers, GRU layers, and dense layers.
Technologies Used: keras, Python
This section lets you add any degrees or diplomas you have earned.
Nagpur University
Bachelor of Engineering (BE), Computer Engineering
Jan 2009 - Jan 2013
Vincent Pallotti College of Engg. and Tech. ,Nagpur
Udacity
Machine Learning Engineer Nanodegree, Computer Engineering
Jan 2015 - Jan 2016
Completed
Convolutional Neural Networks
Mar 2018
Deep Learning Specialization
Mar 2018
Sequence Models
Mar 2018