👋! I am Indranil

About Me

I am a final year M.Tech student at IISc, specializing in Signal Processing, with interests in Mathematics, Statistics, Machine Learning, Deep Learning, and Computer Vision. I am currently working in the Spectrum Lab, IISc, for my final thesis project.

Experience

Texas Instruments

Deep Learning ResearcherMay 2025 - Present

Edge AI, Quantization of Neural Networks.

Education

Indian Institute of Science

M.Tech. Signal ProcessingAug 2024 - Present
  • Machine Learning
  • Advanced Image Processing
  • Digital Image Processing
  • Data Analytics
  • Detection and Estimation Theory
  • Random Processes
  • Matrix Theory
  • Linear and Nonlinear Optimization

Indian Institute of Technology, Madras

B.Sc. Data ScienceJan 2022 - May 2025
  • Deep Learning
  • Machine Learning Techniques
  • Data Structures and Algorithms
  • Statistics for Data Science
  • Mathematics for Data Science
  • System Commands

Techno Main Salt Lake

B.Tech. Computer Science and EngineeringSep 2020 - Jul 2024
  • Neural Networks and Deep Learning
  • Pattern Recognition
  • Operating Systems
  • Design and Analysis of Algorithms

Skills

  • Languages

    :
    PythonC/C++JavaJavaScript
  • Libraries

    :
    scikit-learnNumpyPandasPyTorchOpenCVMediaPipeYOLO
  • Software

    :
    MS ExcelTableauOpenRefineColab
  • Web

    :
    HTML5CSSFlaskVue.jsReact
  • DBMS

    :
    SQLMongoDBRedis

Projects

Digital Yoga Master

View on GitHub

Utilized MediaPipe and OpenCV for real-time body landmark tracking, pose analysis, joint angle computation, posture alignment guidance, and real-time feedback on deviations.

MediaPipeOpenCVPython

Comparative Analysis of Image Dehazing Algorithms

View on GitHub

Implemented and trained AOD-Net and DCP algorithms for haze removal and enhancement, analyzing performance on datasets like RESIDE, NH-Haze, and Smoke.

PythonPyTorchOpenCV

Taxi Fare Guru: A Taxi Fare Predictor

View on Kaggle

Developed a taxi-fare prediction model using scikit-learn and XGBoost, achieving an R2 score of over 0.94. Secured a 10/10 grade for this Kaggle-hosted project.

scikit-learnXGBoost

Optimization of Product Portfolio Report

View report

Analyzed sales data from an industrial brush manufacturer using MS Excel, achieving a 17% portfolio reduction with only a 0.023% impact on revenue. Earned a 9/10 grade for this project.

MS Excel

Community Detection in Dynamic Social Networks

View Paper

Extended static graph algorithms, like the Leiden algorithm, to dynamic social networks, designing an improved metric to evaluate community structure quality. Achieved a 10/10 grade for this project.

PythonNetworkX

Blogger Version 1 & 2

View on GitHub

Developed a micro-blogging application using Flask (backend), Vue.js (frontend), SQLite database, and AWS Lambda for large file storage. Secured 10/10 grade and awarded 'Best Course Project in Application Development.'

FlaskVue.jsSQLiteAWS Lambda

Honors & Awards

AMD AI Hackathon 2025

Secured a third place by building an agentic AI solution

Texas Instruments Scholar

A scholarship for my entire stay at IISc and a project as my final year thesis with TI

Certificate of Academic Distinction

IIT Madras - Among top 6 candidates with highest CGPA (9.84)

Best Course Project

Application Development, IIT Madras, December 2022

Contact