I am a coder, developer and an aspiring software engineer.
I am well versed with data structures, algorithms and problem solving in C++, and I also have elementary knowledge in JAVA and itermediate knowledge in Python.
I have been doing web development projects based on the MERN (MongoDB-Express-React-Node) stack. For API development, I have been using Flask and NodeJS. For Machine Learning subparts, I have used Python and its various libraries such as TensorFlow and PVLib.
For IoT projects, I have used microcontrollers - Arduino and NodeMCU and various accompanying sensors, and coded them with C# in Arduino IDE. While being in college, I have worked hard to hone my programming
and software engineering skills. I have developed skills in data structures,
algorithms and problem solving which gives me a broader perspective of
software development.
Through various personal projects, I have learned
and applied new technology stack along with innovative ideas to build
various websites and applications. I have been using MERN stack, Python,
Flask and Machine Learning to develop my personal projects. I have
been to several hackathons and ideathons with these projects, and have
achieved excellent results in most of them. I have also completed various
technical and management courses and certifications in my term of
preparation.
I am focused and attentive to detail when addressing high-volume task
loads to meet deadlines. I am inspired by making a positive impact by
applying my problem-solving abilities and product development support
skills, which allow me to address challenges and achieve results.
My academic and co-curricular experiences have served me well in
developing my critical thinking, collaboration, and innovation skills. I work
well to use clear and concise communication to interact professionally.
I have developed my personal projects with MERN stack, HTML, CSS, JavaScript and Python.
This section shows my coding ability.
CODING1
SOLAR TRACKING API & IoT MODEL
24x7 single-axis solar tracker Flask API with python-pvlib and a web portal.
Generates daily and monthly solar elevation (0-180°) and monthly solar irradiance data.
Predicts solar elevation with AI/ML through OpenSolarDB dataset and Random Forest model (with around 90% accuracy). Peer reviewed and accepted for publication in IEEE Xplore at 4th ICRTCST Conference 2021.
Coded a full-stack web application with for pandemic scenarios with ReactJS, Redux, NodeJS, and MongoDB. Created a global COVID-19 tracker, vaccination centre viewer (Co-WIN RESTful API) and a public forum for better mental health.
Set up Firebase for authentication and implemented IPFS for user's medical data storage with 100% security.
Designed a front-end web application with ReactJS and connected 6000+ expo attendees to live event video streams.
Developed an end-product according to 100% uptime requirement.
Mentored a team of 4 members, architected a workflow and coded a website within a tight deadline of 24-hours.
Developed a end-to-end greenhouse micro-climate monitoring solution using NodeMCU, sensors and Arduino IDE.
Incorporated a plant leaf disease detection feature using image classification and achieved an accuracy of up to 95%.
Processed and performed data modelling on a dataset with 350 symptoms and associated diseases.
Predicted an underlying health condition based on 6-input symptoms with a Random Forest Regressor (with around 88% accuracy).
Implemented front-end with ReactJS and fabricated the back-end with a Flask-based API.
This spaceship is animated using GSAP's TweenMax. Among the TweenMax functions, the TimelineMax function was used to make the spaceship move naturally, and the translateY, scale, and ease effects were used to achieve realistic animation.
This character is an animation that expresses movement. This animation uses water droplets and the character's eyes, mouth and legs with animation and keyframes to naturally express the movement of the character as if it were alive.
This effect is animated using TweenMax and Javascript. Among TweenMax functions, posY, posX, mouseX, mouseY values are set, and when the mouse is placed on the text “Hover me”, the mouseenter method is used to become active, and when the mouse is released, the mouseleave method is not active.
This effect is expressed by differentiating the class of each image and inputting different mix-blend-mode, filter, and background-color values of each image when the mouse is over.
This animation is an illustrator operation to find out the SVG values and add stroke, stroke-width, stroke-dasharray.
Using stroke-dashoffset, I completed the animation by entering each stroke and stroke-dasharray differently.
This animation is an animation made using basic animation and keyframes for rockets. Several classes of fire-1 ~ fire-4, spark-1 ~ spark-4 express the rocket's flames and sparks naturally, and the background expresses the stars of the universe with several classes of star-1 ~ star-20. I used translate and scale to translate the stars to make the rocket look moving.
This animation completed the Cube Animation that moves naturally by inputting different transform-origin, rotate, translate, animation, and scale values for 6 different faces.
