Hi,I'm

Aditya

I'm passionate about Backend Development and Machine Learning

About

Myself

Hi! I'm Aditya


Hi there! 👋 I'm Aditya Shrivastava, a passionate and driven third-year student pursuing Computer Science Engineering. With a keen interest in Software Engineering and Machine Learning, I thrive on turning ideas into innovative solutions that make a positive impact.

Checkout my Resume


Contact me here adityashrivastava2003@gmail.com

Hobbies

Mastering Minds: The Strategic Symphony of Chess

"Chess: a strategic passion fueling my mind. Endless possibilities, honed skills, and constant intellectual stimulation in competition and casual play."


Harmonizing Worlds: Crafting Melodies through Music Listening and Writing

"Immersing in diverse melodies, I explore the tapestry of sound. From classical to contemporary, each note inspires my writing journey."


Decoding Innovation: Unraveling Challenges through Programming

"Programming is my digital canvas, where logic meets creativity. From crafting elegant solutions to tackling complex problems, I thrive in the ever-evolving landscape of technology."


Anime Odyssey: Exploring Worlds Beyond Reality with Passion and Wonder

"Anime is more than entertainment; it's a gateway to boundless imagination. Through captivating stories and vibrant characters, I delve into worlds where dreams and reality intertwine."


Portfolio

Some of my recent work
Project 1

StockSage

Using advanced machine learning techniques, my stock prediction app harnesses the power of Facebook Prophet and real-time data from Yahoo Finance. It analyzes historical trends, market sentiment, and key indicators to generate accurate forecasts. Investors can make informed decisions confidently, benefiting from precise insights into future market movements. Whether navigating volatile markets or seeking long-term growth opportunities, this app provides invaluable support for successful investment strategies.

View Project
Project 2

TextTrove

Implementing text detection via machine learning on the 20 Newsgroups dataset involves training algorithms to recognize and extract textual content from images. By leveraging advanced techniques such as convolutional neural networks (CNNs) and natural language processing (NLP), the system identifies and interprets text, enabling applications ranging from document digitization to automated data extraction.

View Project

Experience

Some of my works

  • Freelance Software Engineer @Gigsgen Innovations

    Worked as a freelance Software Engineer , built different softwares for various clients.


  • Software Engineering Intern @RadicalX

    Worked as a Frontend Engineer at RadicalX. Added and improved functionalities on there sample website. This being my first development internship learnt a lot about HTML , CSS and JS.


  • Research Intern @Carnegie Mellon University

    Worked as a Research Intern under Professor Min Xu. Led an independent research on Free vs Fixed Text Detection with the help of pretrained transformer models(Bert-uncased). Achieved 97 % accuracy in distinguishing between free and fixed text


  • Research Intern @MIDAS Labs , IIIT Delhi

    Research Intern under Professor Rajiv Ratn Shah. Fine tuned a Bert model which used various parameter to detect copied text. Model achieved 91 % accuracy on the test dataset , 97 % accuracy on the training and validation dataset.


  • Teaching Assistant @Coding Ninjas

    Facilitating interactive doubt sessions to address student’s questions and clarify concepts. Wrote technical content on the topics of Data Structures for the students. Mentored over 1500 students.