Namaste! I'm Rohit, a dedicated aspiring software developer on a mission to turn lines of code into meaningful solutions. I've always been fascinated by the way technology shapes our world, and I'm excited to contribute to this ever-evolving landscape. My journey into the world of coding began when my dad got me my own pc. Since then, I've immersed myself in learning various programming languages, algorithms, and software development methodologies. My determination to overcome challenges and build functional, efficient, and user-friendly applications has driven me to continuously refine my skills. When I'm not typing away at my keyboard, I'm an avid problem solver and a continuous learner. I enjoy exploring coding challenges, attending tech meetups, and reading about the latest advancements in the world of software development. Outside of the tech realm, you might find me playing video games, hopping cafes, or reading non-fictions.
B.Tech CSE
2021-2025
Senior Secondary
2018-2021
C
C++
Python
Java
Javascript
Next.js
React.js
Node.js
Tailwind CSS
Firebase
MySQL
MongoDB
Firestore
Git
GitHub
AWS
Tools: Next.js, Tailwind, GraphQL, StepZen, Tremor 2.0, OpenAI
Duration: May 2023 - August 2023
I developed GPT-Weather, a Next.js web application, to revolutionize weather forecasting. By seamlessly integrating OpenMeteo API data into a GraphQL database using StepZen, the application ensures optimized data retrieval and accurate predictions.
With dynamic visualization using the Tremor 2.0 UI library, users can explore humidity, rain probability, and temperature trends interactively.
Additionally, insightful weather summaries generated by OpenAI enhance user understanding. The tech stack includes Next.js, Tailwind, OpenMeteo API, GraphQL, StepZen, Tremor 2.0, and OpenAI.
Tools: Python, NLTK, Scikit-learn, Matplotlib
Duration: May 2023 - August 2023
I developed a YouTube Ad Recommender where I utilized NLTK for text processing and Scikit-learn for classification.
Achieved impressive 97% (Naive Bayes) and 98% (SVM) accuracies in multi-class video category classification.
Evaluated with precision-recall curves on a dataset of 3000 videos and 6300 advertisements, demonstrating my ability to deliver robust content recommendation solutions.
Tools: HTML, CSS, JavaScript, PHP, MySQL
Duration: March 2022 - April 2022
Created a complete real estate website called Bongora Tehsildar. This website allows you to list properties, find matching agents, and easily search for properties.
Built a smart system to organize and store data efficiently using a MySQL database. To make everything secure,
Used PHP to manage communication between the website and the database.
+91-9337641082
pansari.rohit9@gmail.com
Guwahati, India
