Miscellaneous Works and Studies

Here, I share my works and studies on a diverse array of topics: AI/ML Pipelines and Data Analytics, Audio and Speech Recognition, Distributed Systems and Protocols, GenAI, LLM, SLM, Quants and Finance, Reinforcement Learning, Machine Learning, Regression, Algebraic Complexity Theory, Analytic and Algebraic Number Theory.

The courses I have taken till now are in my Courses Page.

AI/ML Pipelines and Data Analytics

• Low Code AI ML Model Deployment (2025 -- Present) [Repository]
• Fraud Detection Pipeline on Finance Data (2025 -- Present) [Repository]
• Time Series Analysis in Python + SQL (2025) [Repository]

Audio and Speech Recognition

• Audio Recognizer and Responder Model (2025 -- Present) [Repository]

Distributed Systems and Protocols

• Distributed Key-Value Store over TCP/IP (2025 -- Present) [Repository]

GenAI, LLM, SLM

• SLM Finetuning for Sentimental Analysis of News (2025) [Repository]

Quants and Finance

• Quant Project on Nifty and Bank Nifty (2025) [Repository]

Reinforcement Learning

• Automated Stock Market Investment Using Reinforcement Learning (2024), Supervisor: Prof. K. V. Subrahmanyam, CMI [Repository]
• Reinforcement Learning Assignments (2024), Instructor: Prof. K. V. Subrahmanyam, CMI [Repository]

Machine Learning

• Topological Machine Learning I (2023), Supervisor: Prof. Kuntal Roy, IISER Bhopal [Repository]
• Topological Machine Learning II (2024), Supervisor: Prof. Kuntal Roy, IISER Bhopal [Repository]
• Data Mining and Machine Learning Assignments (2024), Instructor: Prof. Madhavan Mukund, CMI [Repository]

Regression

• Quantile Regression (2023), Supervisor: Prof. Mohan Delampady, ISI Bangalore [Presentation]

Algebraic Complexity Theory

• Polynomial Identity Testing for ROABPs and Log-Variate Circuit (2024), Supervisor: Prof. Nitin Saxena, IIT Kanpur [Report]

Analytic and Algebraic Number Theory

• Theory of p-adic Numbers and Solving p-adic Equations (2020), Instructor: Prof. B. Sury, ISI Bangalore [Report]