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
- Software Developer at Nasdaq.
- Computer Vision Intern at StanceBeam.
Teaching
Publications
A Comparative Study on Deep Convolutional Neural Networks and Histogram Equalization Techniques for Glaucoma Detection From Fundus Images
Kulkarni, A., & Ahmed, S. H. (2024). A Comparative Study on Deep Convolutional Neural Networks and Histogram Equalization Techniques for Glaucoma Detection From Fundus Images. Cold Spring Harbor Laboratory. medRxiv. https://doi.org/10.1101/2024.10.25.24316109
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
Case Study at The Citadel, Medium
Linear Regression Made Simple
Article at Analytics Vidhya, Medium
A Comprehensive Guide to Creating a Basic Reddit Bot
Tutorial at Analytics Vidhya, Medium