Personal website revamp in progress — beta version here(may not be fully updated)! 🚧
Welcome to my GitHub profile! B.Tech undergrad at Indian Institute of Technology (IIT) Indore. I like machine learning systems, causal reasoning, signal processing, and building things from scratch.
Currently/Previously worked on :
- Causal Reinforcement Learning
- Algorithmic Decision Making
- Communication Systems & 6G
- Speech & Audio Processing
- Medical Imaging
- Exploring correlation vs causation in sequential decision-making settings.
- Studying structural causal models (SCMs) for RL environments.
- Strong theoretical + algorithmic focus (not just empirical RL).
- Check out final slides here. Final report here
- Studying TTS systems trained on noisy, unconstrained real-world speech.
- Investigating evaluation gaps between traditional metrics (e.g., DNSMOS/UTMOS) and perceptual quality in ITW setups.
- Goal: bridge controlled lab-quality TTS and messy real-world deployment.
- Worked with the 6G Standards Team on ML-based CSI-RS processing.
- Developed LSTMSE-Net (accepted at InterspeechW 2024 – AVSEC).
- Engineered temporal feature extraction pipelines using RNN/LSTM.
- Next version in current development
- Built advanced U-Net variants for liver & tumor segmentation.
- Integrated SE blocks, ASPP modules.
- Co-authored multiple papers in:
- Biomedical Signal Processing and Control (Elsevier)
- Frontiers in Medicine (2025)
- Causal Inference for Sequential Decision Making
- Robust & Distribution-Shift-Aware RL
- Advanced Communication & Information Theory
- Convex Optimization
- Elementary Measure Theory, Probability Theory and Statistics
- Group Theory (Welcome Abstract Algebra!)
- Game Theory & Mechanism Design
- Misc - Competitve Programming when I get the time!
"Every algorithm is a small step towards defining and understanding intelligence." ✨