Hi there!

I’m a master’s student currently pursing my MSc. in Computer Science from Université Grenoble Alpes specializing in Human and Digital World Interaction (HDWI).

My main fields of interests broadly are Machine Learning, Embedded Systems, and Signal Processing.

Specific fields of interests:

• 📜 Natural Language Processing (NLP),
• 🎵 Audio-based AI, or Music Information Retrieval (MIR).
• 📡 ML-based Signal Processing

In my free time, I enjoy drawing/sketching. Reading is another hobby of mine since a long time. Here are some of my artworks, and my current reading list.

Organisation of rest of this website as follows:

• Education
• Work Experience
• Projects
• Publications
• Artworks

Education

MSc. Computer Science (MoSIG) Université Grenoble Alpes (UGA) - ENSIMAG Grenoble, France Specialization: Human and Digital World Interaction (HDWI) Grad year: 2022 Courses taken in HDWI: Robotics Human in the Loop Augmented and Virtual Reality Computer Vision Natural Language Processing Machine Learning for Multimodal Data B.Tech. Electronics & Communication Shiv Nadar University (SNU) Greater Noida, India Grad year: 2019 Thesis: Background Study and Hardware/Software Implementation of MIMO

Work Experience

Machine Learning Research Intern Qualcomm

Open-Source NLP Researcher The Sound of AI

More on experience here

Projects

Music Processing and Genre Classifier using DSP and Deep Learning Goal: Understand audio as input data and identify its characteristics; Build a model to distinguish different genres of music using Digital Signal Processing and RNN/LSTM architectures Performed basic audio data analysis like waveform, spectrogram, Extracting MFCCs Implemented a music genre classifier based on dataset of GTZAN; Built dataset based on extracted MFCCs from audio files; Experimented with Basic Neural Network, CNN and RNN (LSTM) Currently in process of predicting genre from Spotify songs GitHub repository

Understanding COVID-19 Trends on Twitter using NLP Goal: Understand the trends and the changing trends on Twitter throughout the year 2020 related to the COVID-19 pandemic; Understand, correlate and verify the findings with respect to the real-world news/data Implemented a shell script for creating a command-line based scrapper for several 1000s of tweets from Twitter Cleaned extracted tweets; Applied various analysis techniques like wordclouds, trend of a given word w.r.t. month; TextBlob and logistic regression for sentiment analysis GitHub repository

Document Scanner and Summarizer using OpenCV and PyTextRank Goal: Create an image scanner and summarizer; Understand the pipeline behind mainstream doc scanner apps and apply Computer Vision and NLP to build a doc scanning prototype Image processing pipeline utilizing OpenCV constructed; blurring, edge detection, warping, thresholding Text summarization to generate a summary and key phrases from the scanned text GitHub repository

3D Graphics based Medieval Scene using OpenGL Goal: Create a 3D scene with medieval period as a theme, for the course 3D Graphics Understood the basic graphics processing pipeline including rasterization, modelling, rendering and animation Added several effects including multiple point lights based on day/night, fog, multi texturing based blend-map, keyframe + procedural animation, and sound effects, to name a few Game-like interface created with 1st person POV GitHub repository

Publications

Research Paper "First Steps Towards Runtime Hardware Trojan Detection in Microprocessors through Software Diversity" "Towards Common Reference Methods to Evaluate Detection Techniques for Hardware Trojans in Microprocessors" Two joint research papers expected to be published at a conference Result of work done in internship at LIRMM under Prof. Giorgio Di Natale Paper snippet "From Words to Sound: Neural Audio Synthesis of Guitar Sounds with Timbral Descriptors" Accepted for publication in AIMC 2022 conference on July 11 Result of an Open-Source Research (OSR) work done with 150+ people of The Sound of AI OSR community Paper abstract Medium Articles Towards Data Science "Generating/Expanding your datasets with synthetic data" "Modeling and Generating Time-Series Data using TimeGAN" Both articles featured as a post by TDS' official LinkedIn page LinkedIn post 1 LinkedIn post 2

Artworks

Some of my favourite drawings. More can be found on my Instagram drawing acccount.

	Timelapse video (Music credits: Black by Kari Kimmel)
Timelapse video		Timelapse video (Music credits: The Night King by Ramin Djawadi)

Featured artwork

A timelapse video portrait I made of Steve Jobs was featured by my university’s drawing club.