CV

Education

• Bachelor of Technology, Computer Science PES University
  • Relevant Coursework: : Data Structures and Algorithms (C++, Java, Python), Object Oriented Programming (Java), DBMS (MySQL, PostgreSQL), Graph Theory (Graph Neural Networks, Neo4j), AR/VR (Blender, GLUT, Unity), Deep Learning (PyTorch, TensorFlow)
  • Awards: 3x Distinction
  • Specialization: Machine Intelligence and Data Science

Experience

1. Software Developer at Nasdaq.
2. Computer Vision Intern at StanceBeam.

Teaching

Undergraduate Teaching Assistant

Publications

Diffusion Inference with Dynamic Classifier-free Guidance

V. S., A., Kulkarni, A., Chawla, D., Rawther, A., & Rangareddy, J. (2024). Diffusion Inference with Dynamic Classifier-free Guidance. In International Conference on Inventive Computing and Informatics (2nd ed., pp. 53–59). IEEE. https://doi.org/10.1109/icici62254.2024.00018

Technical Skills

• Languages: Python, C++, Java, C
• Concepts: Operating System, Artificial Intelligence, Machine Learning, Neural Networks, Database, Agile Methodology, Cloud Computing, Generative AI, Large Language Models, Computer Vision, Data Science, Computer Networks
• Certifications: AWS Educate Introduction to Cloud 101, Amazon Web Services; Quantum Computing Using Qiskit, PESU I/O; LFD103, The Linux Foundation

Articles

GameStop: What it means to short a stock

May 10, 2021

Case Study at The Citadel, Medium

Linear Regression Made Simple

April 24, 2021

Article at Analytics Vidhya, Medium

A Comprehensive Guide to Creating a Basic Reddit Bot

March 03, 2021

Tutorial at Analytics Vidhya, Medium