I Am PURNA
I Am A
GSOC 2022 Contributor and a Full Stack Developer with specialization in MERN stack and Django Framework with a track record of successful team projects. Check out my projects below.
About MeI Am A
GSOC 2022 Contributor and a Full Stack Developer with specialization in MERN stack and Django Framework with a track record of successful team projects. Check out my projects below.
About MeI'm a Full Stack Developer with a focus on the Django and MERN stack, but still exploring other technologies and frameworks that catch my interest!
I work on builds and maintenance for various web development projects during the day, and at night you can also find me doing some interesting Machine Learning and Deep Learning project and contributing my learnings to Open Source Projects.
In 2022, I graduated from the University of Hyderabad with a Master's degree in Computer Application. Following my second year of studies, I joined PyMC as a Google Summer of Code student, where I worked on expanding the Aesara and PyMC library with new features.
I am proficient in Python and have strong Problem-Solving skills. I have taught a course on Data Structures and Algorithms to graduate students as an instructor at Pepcoding Education .
Degree : MCA(Postgraduate)
Country : India
Language : Hindi, English
Email : pc.mansingh@gmail.com
I am a Full Stack Developer with 2+ years of website development experience. Skilled at designing APIs, Databases, and user-focused experiences. Has in-depth training in Systems Architecture, Software Development, Frameworks, and Application Optimization. I am a self-motivated IT professional with huge knowledge in JavaScript, HTML, CSS, and Mobile Responsive web development, as well as have strong skills and ability in writing clean and efficient code.
If you're looking for a Developer to add to your team, I'd love to hear from you!
With a strong emphasis on "Progressive Enhancement", I look for creative ways to push the boundaries of website development without compromising on user experience and performance. I'm excited to make the leap and continue refining my skills with the right organization. I strongly believe that imagination can take you anywhere, and it is taking me on an exciting journey! Thank you very much.
Hackathon Participated
Organizations Contributed
Projects Completed
Students Mentored
β Enhancing Multivariate Distribution support in PyMC V4, making it able to work with batched data.
β Adding new Operation support to Aesara, a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
β Solving doubts about the Data Structures and Algorithms and providing ways to approach the optimized solutions to reduce the space and time complexities.
π Wrote modern, performant, and robust code to develop nados.io a platform for Techies where they can Interact, Learn and Compete with each other. currently, It is serving 5Lakhs+ Users.
π Communicated and collaborate with multi-disciplinary teams of engineers and designers on a daily basis.
π Managed a group of Product Engineering Interns.
πΈ Assisted with the VMware VxRail-based IT infrastructure during downtime & failure of hosts.
πΈ Designed and developed vSAN VxRail Hypervisor on a Dell hardware platform with ESXi 6.7.
β Mentored a group of 100+ students in debugging code and developing an optimal solution.
β Mentored students in web development(Django).
Developed an all-in-one Website for all everyday needs by recommending Eco-friendly alternatives based on a product's Carbon Footprint, monetizing waste recycling, and providing a Personalized Analysis Dashboard.
Web app built with React, Node.js, and Express for visualizing personalized Spotify data such as top artists, tracks, recommendations, and audio features.
Designed & Developed a web portal that can store files encrypted and password protected so that no one can access the files' content without authentication.
Developed a model that will recognize human faces and automatically records attendance. The model just requires a few images to train and detect with an accuracy of 97 percent.
Developed a machine learning model using OpenCV and Mediapipe to help you in the gym by identifying different body positions.
To combat the propagation of the COVID-19 virus, a real-time CNN model based on MobileNet architecture is employed to identify the facemask and social distance.
pc.mansingh@gmail.com
+91 70081-89140
Bhubaneswar, Odisha, India, 752025
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