Contact:
Phone: +91-875*******
Email: adjehw@r.postjobfree.com
GitHub: https://github.com/VRS-3999
Objective:
• To work with maximum potential in a
challenging and dynamic environment
which will help me to explore myself fully
and realize my potential. I am a positive
and hardworking individual, who always
strives to achieve the highest standard
possible, at any given task.
Skills:
• Version Control -Git
• Programming Languages
1. Python
2. C/C++
3. Embedded C
• Back End Development
1. Django
2. Laravel
3. MySQL
4. PostgreSQL
• Front End Development
1. HTML
2. CSS
3. BootStrap
4. Flex
5. React
6. React-Native
• Python Libraries Used
1. OpenCV
2. TensorFlow
3. Numpy
4. Pandas
5. Pytorch
• Other Skills
1. Arduino
2. Embedded Systems
3. MS Office
4. Neural Networks And Deep
Learning
5. Decision Making
6. Interpersonal Skills
7. Team Management
VIVEK RAJ SINGH
B.Tech (Computer Engineering)
Educational Qualification
Z.H.C.E.T, AMU - BTech, Computer Engineering
2018-present CPI: 9.3
Saiyyid Hamid Senior Secondary School, AMU - XII
2017-2018 88%
S.S.S.C (Boys), AMU - X
2014-2015 CGPA : 9.6
Experience
• Deep Learning & Computer Vision
1. Implementation of Segmentation, Classification, Anomaly Detection and Object Detection Model in python.
2. Implemented Deep learning codes in Django using CPU scheduling concept with the help of threading in cloud server.
3. Implemented custom annotation tools in cloud using JavaScript for better experience to user to use these DL and computer vision model with the help of GUI instead of writing codes.
4. Implemented augmentation techniques to train model on synthetic image created from small dataset uploaded by user on cloud.
5. Training, Evaluating and prediction can take place at the same time from different users using different models trained by them in their accounts using their own dataset. 6. Results are shown to them in the cloud itself i.e. Predicted Images, Evaluation Data and training Graph.
7. Cloud is build using Django, Annotation Tools are build in JavaScript, App is built in React native and Models are written in Python.
8. Open apis are also prepared so that anyone can use them in their own development either in software or in cloud or in App for fast implementation and results.
• Django
1. Payment Gateway Integration (Paypal, Razorpay). 2. Threading and Subprocess concept for running Deep Learning & Computer Vision models in cloud for Training, Evaluation and Prediction.
3. Async and Sync connection with web and app.
4. Firebase connection and implementation for app
development with Django as backend.
5. MySQL, PostgreSQL implementation.
6. DRF implementation for custom APIS.
7. Apscheduler, Redis for Auto execution of task.
8. Custom Algorithm creation and Implementation in python. 9. Running and Managing Django server in Production mode in GCP either in flex environment or VMs with GPU. 10. Running and Managing Django server in custom designed server for example e2e network server with GPU and VMs. 11. Custom Library Design and Algorithm Implementation. 12. Custom Query implementation for efficient data extraction. 12. Implemented SaaS, PSaas and CVaaS architecture. 13. Ecommerce, LMS, IMS and many more implemented.
• React Native and JavaScript
1. Custom designing of app according to requirements. 2. Firebase Notification Implementation
3. Headless Task implementation for background task such as Voice call Recording, Text Messaging Reading, Location Tracking and collecting Data in Server Database.
4. Stable Connection of app with custom designed apis. 5. Custom Library Design and Algorithm Implementation. 6. Async Connection for running Deep Learning and Computer Vision Models in App.
7. Ecommerce, LMS, IMS and many more implemented.
• C++/Python and QT/PyQT
1. Created Desktop software applications using QT and C++ Coding Knowledge
2. Created Desktop Software application using PyQT and Python coding Knowledge
3. Software license activation using custom api connection with curl in QT/PyQT.
4. Efficient Algorithm implementation using technique of competitive programing.
5. Custom Python or C++ library implementation.
• Embedded C
1. GSM AT commands for Data Transferring.
2. GPS connection with GSM and Arduino.
3. Two software serial connection for efficient and effective working of Location Tracker.
4. NodeMCU connection with custom api for sending DHT22 sensor reading to cloud.
5. Controlling Toaster according DHT22 sensor reading from cloud or app.
• Humanoid
Face Recognition using OpenCV and follow voice commands from the user to perform the given task. Tensorflow for ML, Q- Learning (Reinforcement Learning) for Humanoid Walking. It automatically send the data to cloud and learn new stuff by its own using deep learning computer vision.
Used augmentation technique for training model on less amount of dataset which is captured by humanoid on new person. Online Training and automatic downloading of Trained Model and using it for better prediction result.
• Full Stack Developer intern at
SensoVision, Banglore (2020).
• Software Developer Intern at
Engineering & Environmental
Solutions (2019).
• Founder of “The Creator Home”
(http://www.thecreatorhome.com)
• Member of Humanoid 2019 Team
ZHCET (Team Invicta 1.0).
• Oraganiser of Web-Development
Workshop, Git-Gitub Sessions, ML
Sessions in AMURoboclub, Python
Sessions, Data Structure Sessions, C
Sessions (2019-2020).
• Volunteer at AMURoboclub for
session 2019 – 2020.
• Member of SmartToaster 2018
Team at ZHCET (Team Grinner
1.0).
• Member of Institution's Innovation
Council(IIC-ZHCET) that worked
under the supervision of MIC-
INDIA.
• Volunteer at AMURoboclub for
session 2018 - 2019.
References
VIKRAM JAIN
Founder & CEO of SensoVision
Contact: +919*********
Email: adjehw@r.postjobfree.com
MOHAMMAD HAMZA
Co-Founder at Engineering & Environmental Solutions Contact: 954*******
Email: adjehw@r.postjobfree.com
PROF. EKRAM KHAN
Professor in ZHCET, AMU
Contact: 945-***-****
Email: adjehw@r.postjobfree.com
Work Experience