Portpholio Caden | Software Developer

Hi, I'm Portpholio Caden.

A Python|

Self-driven, quick starter, passionate programmer with a curious mind who loves solving a very complex, very challenging real-world problems.

About

I am a Software Developer with 1 year of professional experience in Machine Learning, Computer Vision with a willingness to learn and master Software Development, Backend Development. I am adept in Python, Django, Flask, SQL, Machine Learning, Computer Vision.

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Meditab

AI Developer

Improved an in-production optimization algorithm which reduced the cycle-time of the automation process.
Expanded and modularized the algorithm from one system one robot to a multi-system multi-robot paradigm.
Designed and developed a Video Analytics application that tracks the activity and location of each human in a multi-camera environment along with detailed visualization - from scratch.
Improved the speed of the Video Analytics application by incorporating the YOLOv3 model for object detection and DeepSORT for multi-object tracking.
Tools: Python, OpenCV, Keras, Tensorflow, PyTorch

Dec 2018 - July 2019 | Ahmedabad, India

Mtag Innovations

Data Scientist

Developed a cloud-based data visualization and analytics web application aimed at storing and visualizing data-points of each IoT devices.
Designed and implemented a stacking model predicting the degradation of drugs and achieved 75% - 83% accuracy depending on the data for each drug.
Tools: Python, IBM Cloud, Node Red, Flask

July 2018 - Nov 2018 | Ahmedabad, India

Projects

                
Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.