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Anurag Rallabandi

Machine Learning {Enthusiast, Researcher, App Developer}

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About Me

I am Anurag, a grad student at the University of Florida. I completeled my undergrad from SRM Institute of Science and Technology,India majoring in Software Engineering. I am a Machine Learning enthusiast and believe that we are the midst of a revolution with Machine Learning @ core of it. I believe in using my tech skills to make the world a better place to live in as exhibited when I interned with one of India's largest companies Reliance Jio in their AI/ML Center of Excellence. During this time I helped build a dashboard to help farmers out.

I am problem-solver that believes in boiling the problem down to its fundamentals and then working up towards the problem. I mainly code in Python. adding C++, Java when required.

Experience

CognitiveBotics Pvt. Ltd.

Lead Research Intern

Helping build AI/ML/AR/VR based products for Autism Spectrum Disorder intervention.

Technology used : Python, sklearn, pandas, keras, 3DVista Virtual Tour, Flask, Javascript, TensorflowJS, librosa,wave, pyspeak.

Warrington College of Business

Graduate Research Intern

Conduct Research on mitigation of bias in ML models.

Technology used : Python, sklearn, pandas, keras, 3DVista Virtual Tour, Flask, Javascript, TensorflowJS, librosa,wave, pyspeak.

Reliance Jio AI/ML Center of Excellence

Machine Learning Intern

Helped build a dashboard for farmers that included Pesticide Classification, Weather Prediction and Soil Segmentation for better crop planning. Created mongo dumps that were ingested to be a part of a Neo4j knowledge base and developed an Android App to act as a front end to a Pesticide Classification Model.

Technology used : Python, sklearn, pandas, keras, PyTorch, Neo4J, Android Studio, Java, Kotlin, Flask, Firebase, Docker, Kubernetes, ceres-solver, ROS.

Carbalt Tech Labs

Data Science Intern

Tasked with finding alternate data points to reduce the amount of data used for transferring high resolution times series electrical data. Used Piecewise Linearization and Fast Fourier Transforms to extract and reconstruct parameters reducing costs 2x.

Technology used : Python, sklearn, pandas, cvxpy.

TEDxSRMKattankulathur

Web Developer

Developed and managed a website for the TEDx event at SRMIST.

Technology used : HTML, CSS, Bootstrap, Javascript.

Education

University of Florida

August 2019 - May 2021

Master of Science in Computer Science

Coursework Includes : Advanced Data Structures, Math for Intelligent Systems, Machine Learning, Deep Learning for Computer Graphics and Pattern Recognition. Working on an Individual Project on 3D Point Cloud Data under Prof Sanjay Ranka.

SRM Institute of Science and Technology

August 2015 - May 2019

Bachelor of Technology in Software Engineering

Skills

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