Adityavardhan Jain

Introduction

I am Adityavardhan Jain, a Data Analyst and AI Researcher at Tatvic Analytics, where I design intelligent, data-driven systems that turn raw data into measurable impact. My current work involves analyzing large multi-channel datasets in Google Analytics 4 (GA4), BigQuery, and SQL to identify conversion inefficiencies and shape marketing strategies that improve client conversion rates.. I have also worked on developing automated pipelines and workflow systems using n8n and Google Agentspace, cutting down manual reporting efforts and ensuring real-time decision-making for clients.

Before that, I worked as a Computer Vision and AI Research Engineer at Codenscious Technologies, where my work combined Computer Vision, IoT, and Data Analytics to showcase how intelligent systems can make urban spaces safer and more efficient. I also conducted research on Simultaneous Localization and Mapping (SLAM) and ROS2 simulations, exploring how these frameworks can power autonomous navigation.

My research journey included a Data Science Research Internship at the Center of Advanced Research and Engineering (CARE), IIST, where I worked on Brain-Computer Interface (BCI) research. I analyzed EEG signals to understand the cognitive effects of voluntary human actions using deep learning and signal processing techniques. The project also led to the development of NeuroTetris — a game controlled entirely by brain signals, achieving over 80% classification accuracy in neural pattern recognition. Our findings earned First Prize at the ACET Research Conference for the paper “Neural Signatures of Eye Blinking: EEG Analysis for Inferencing Complex Cognitive Processes.”

Alongside, I’ve built multiple applied AI systems — most notably Tesseract, an AI-powered legal document processor integrating BERT, OCR, and Gemini APIs to summarize, translate, and extract information from Indian legal documents. It’s a Flask-based web application deployed via Render and GitHub Pages, designed for accessibility and low-cost scalability in the legal-tech domain. My technical stack spans TensorFlow, PyTorch, Scikit-learn, OpenCV, Flask, Streamlit, Docker, GCP, and advanced statistical modeling in Python and SQL.

I have completed my B.Tech. in Artificial Intelligence and Machine Learning at Indore Institute of Science and Technology. During my undergraduate journey, I’ve led multiple communities as the Google Developer Student Clubs (GDSC) Lead (2023–24) and CodeChef IIST Chapter Lead (2024–25). I was also the Winner of the Smart India Hackathon 2023 (Software Edition) for the Ministry of Defence’s Computer Vision Problem Statement and a recipient of the Spot Award for exceptional performance at Tatvic Analytics.

At my core, I’m fascinated by the solving the most complex problems of our time using Artificial Intelligence and Machine Learning. — I wish to be a generalist as I hold the belief that biological intelligence, perception, and computation can inspire more robust and interpretable artificial systems. My current vision is to explore how machine learning architectures can be usedto automate tedious tasks and I am researching on how to reflect natural principles like signal emergence, field dynamics, and cognitive inference, leading to AI that doesn’t just learn but also understands.

For more, you can explore my projects on GitHub or connect with me on LinkedIn.

Resume

Community and Clubs

I am passionate about promoting equity for students coming from all backgrounds in STEM. To that end, I was a member of GDG Indore, and led the the Google Developer Students Clubs chapter of IIST Indore from 2023-2024. For more information, on the same please visit the GDSC IIST Instagram pageAdditionally, I have been an active member of the Society of Contemparory Affairs (The Lexicon Club), The Ramanujan Mathematics Club and the CodeChef Programming Club at IIST Indore.

I am also a registered mentor for AICTE for Smart India Hackathon as a past winner. I look forward to a future, where students of any institution, city, gender, and economic background are provided with ample opportunities for their education and growth in India.

Contact

jainadityavardhan@gmail.com

linkedin.com/in/adityavardhanjain

twitter.com/adityavardhan_

Projects

I enjoy building projects that blend creativity, mathematics, and machine intelligence into tangible systems. My work often explores how computation and cognition can meet design and human interaction.

NeuroTetris: A neuroscience-inspired twist on the classic Tetris game, where gameplay is influenced by neural network–based decision-making models. The project demonstrates the integration of reinforcement learning concepts into interactive game environments. Watch the demo on YouTube.

Legal Tesseract: An AI-powered legal document summarization and semantic search engine. It leverages transformer-based models for understanding case laws, contracts, and research papers, simplifying access to structured legal insights. Watch the walkthrough on YouTube.

Each project represents an exploration of how technology can be applied to enhance human reasoning — whether in play, research, or justice.

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';