• Bhavani AM

    A passionate researcher focused on solving real-world problems through applied AI research.

About Me

Who Am I?

Hi. I'm Bhavani. I'm an early career professional passionate about building a career in applied research. I have more than a year of research experience through my work at IISc, internships and research projects. I am open to opportunities in the application of AI research.

Education

Years attended: 2019 - 2023
GPA: 9.14/10

Award: Om Prakash Goyal and Sevati Devi Goyal Award for the best graduating female student.
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Years attended: 2017 - 2019
Score: 98.33%

Honors: State 4th rank (out of 700k students) - Awarded by the Ministry of Karnataka

Experience

Project Associate at IISc                         Jun 2023-Jul 2024

I analyse research papers, design neural networks for distance estimation, derive relations between absolute distance and disparity maps, and implement state-of-the-art methods for object detection, depth estimation, pose estimation etc. I also work on performance evaluation of models on embedded platforms such as Jetson Orin Nano and Jetson Nano, and the refinement of data through post-processing techniques.

Undergraduate Researcher at IIT Dharwad           Aug 2022-Sep 2023

My year long research endeavour at IIT Dh focused on reducing the transmission cost of text messages over a wireless channel. I implemented word prediction and completion models for a noiseless and an erasure channel, exploiting the inherent correlation and predictability of language to constrain transmission costs by allowing the destination to predict or complete words, with potential dissimilarity with the source text.

Research Intern at TCS Research                 May 2022-Aug 2022

I worked on video future frame prediction, analysed research papers, implemented state-of-the-art methods and experimented with diverse model architectures. I also worked with optical flow techniques like FlowNet2 and PWCNet.

Technical Skills

Python

NLP

Computer Vision

++

C++

TensorFlow

Tensorflow

PyTorch

PyTorch

Certifications

Courses:
  • Linear Algebra
  • Multivariate Calculus for Machine Learning
  • PCA: Principal Component Analysis
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Courses:
  • Introduction to Tensorflow for Artificial Intelligence, Machine Learning and Deep Learning
  • Convolutional Neural Networks in Tensorflow
  • Natural Language Processing in Tensorflow
  • Sequences, Time Series and Prediction
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Projects

Facial Emotion Recognition

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Satellite Image Classification

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NLP Sentiment Analysis

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Multi Agent AI Systems

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Get in Touch

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