Hey! I am

Kirity Ganga

I'm

About

About Me

As a software engineer with experience in developing and implementing cutting-edge solutions, I am passionate about leveraging technology to solve complex problems. My expertise includes programming languages such as Python, C++, and Java, as well as frameworks like TensorFlow and Flask. I am skilled in data analysis and visualization, natural language processing, and cloud computing platforms like AWS and Kubernetes. With a master's degree in computer science, I am confident in my ability to deliver exceptional results and am excited to take on new challenges in the software engineering field.

  • Name: Kirity Ganga
  • Date of birth: October 12, 1998
  • Address: Tempe AZ 85281 USA
  • Email: kiritykumar1998@gmail.com
  • Phone: +1 (602) 625 1077
Colorlib Template
Colorlib Template
Colorlib Template
Colorlib Template

Education

2021-2023

Masters of Science in Computer Science

Arizona State University

CGPA: 3.8/4

Courses: Statistics in Data Mining, Database Management & Implementation, NLP, Linear Algebra, Probability & Random Processes

2016-2020

Bachelor of Technology in Electronics and Communication

SRM Institute of Science and Technology

CGPA: 8.48/10

Courses: Data Mining, Data Structures and Algorithms, Linear Algebra, Probablity and Random Processes

Experience

Jan 2023 - Present

Full Stack Developer

Medynsky and Associates
  • Implemented Google login and secure user authentication using Google tools, ensuring strong protection for user accounts and sensitive data.
  • Managed code versioning with GitHub, Bit Bucket, and deployment to staging and production servers and implemented MVC architecture in developing the web application with the help of Express JS framework
  • Developed a reliable login system using Google's authentication features, making sure only authorized users could access important parts of the application.
  • Created safe and smooth login processes, enhancing the company's security measures and safeguarding user information effectively.
  • Aug 2022 - Dec 2022

    Teaching Assistant (Part-time)

    Arizona State University
  • Supervised classes of 50 students for the course EGR 598: Linear Algebra for Engineers, conducted doubt sessions, provided class notes, and proctored exams, ensuring academic integrity and an appropriate testing environment.
  • Worked under the teacher's direction to create assignments and exam papers.
  • May 2022 - Dec 2022

    Software Engineer

    Raven Industries
  • Refactored the Polygrapher code to create independent and automated false positive reports and log verification report processes.
  • Explored various object detection methods like EfficientNet and YOLO V4 to innovate and reduce the false positives by 5% reported by the Polygrapher for a given vehicle.
  • Dockerized and deployed the applications on AWS after creating an ECR instance of the image container.
  • Designed AWS pipeline and deployed containers with CI/CD workflow to prioritize efficient and automated deployment processes, reducing deployment timing by 25% (manual to automation) and increasing deployment frequency by 10%.
  • Jan 2020 - July 2021

    Software Engineer

    Bitsilica
  • Programmed and debugged a Road Lane Line detection system using the Hough Line Transform method to create an accurate and reliable lane detection system, achieving an accuracy of 75%
  • Employed custom REST API using Django web applications architecture and executed the model on a Linux cloud platform, prioritizing efficient deployment and development processes.
  • Developed a module to build ORM queries that can pre-load data to greatly reduce the number of database queries needed to retrieve the same amount of data.
  • Sep 2019 - Dec 2019

    Research Engineer Intern

    Bitsilica
  • Researched and compared various autoencoders to efficiently denoise ECG signals without compromising the amplitude of the R peak metric.
  • Produced a denoised signal with a Signal Noise (SNR) difference of less than 15dB, representing a 25-26% improvement over conventional filters.
  • Received full-time extension as Machine Learning Engineer, based on the performance in the internship.
  • Skills

    Python

    90%

    AWS Services

    80%

    SQL

    75%

    Programming Languages/Software

    C++

    Java

    Tableau

    Jira

    Git

    Agile

    Frameworks/Libraries

    Pandas

    Pytest

    OpenCV

    Matplotlib/Seaborn

    Tensorflow

    Keras

    Flask

    Datastores and Cloud

    Docker

    Postgres

    Apache Kafka

    Kubernetes

    Redis

    Certifications

    Coursera

    Statistical Inference in Machine Learning

    Issue Date: April 2021

    Expiry Date: None

    Skills: Machine Learning, Hypothesis Testing, Statistics

    NPTEL

    Programming, Data Structures and Algorithms using Python

    Issue Date: March 2019

    Expiry Date: None

    Skills: OOPS, Algorithms, Python

    Coursera

    Supervised Machine Learning: Regression and Classification

    Issue Date: November 2018

    Expiry Date: None

    Skills: Quantitative Analytics, Predictive Analytics, Statistics, Python, Statistics

    Volunteer

    ML group logo
    Jan 2022 - May 2023

    Member

    Machine Learning Club

    As a member of the Machine Learning Club, my responsibilities included actively participating in club meetings, collaborating with teammates on projects, and conducting research on various machine learning topics. The group focused on providing a comprehensive curriculum covering main algorithms and related sub-topics, while also encouraging members to work on Kaggle projects to apply their knowledge.

    Special Olympics Bharat logo
    July 2020 - August 2020

    Volunteer

    Special Olympic Bharat

    Volunteered at Special Olympics Bharat, Chhattisgarh, a sports movement empowering intellectually disabled individuals. Contributed and assisted in organizing and facilitating inclusive sports events and promoting the overall well-being and inclusion of participants.

    Aaruush, SRM University logo
    July 2020 - August 2020

    Member

    AARUUSH

    Served as one of the heads, the technical fest organizer at SRM University, Chennai. Contributed to the successful planning and execution of the event, overseeing various aspects such as event coordination, logistics, and ensuring a vibrant and enriching experience for participants.

    Services

    Services

    Far far away, behind the word mountains, far from the countries Vokalia and Consonantia

    Projects

    Projects

    Far far away, behind the word mountains, far from the countries Vokalia and Consonantia

    Contact

    Contact Me

    Far far away, behind the word mountains, far from the countries Vokalia and Consonantia

    Address

    Tempe, Arizona, 85281

    Contact Number

    +1 (602) 625 1077