Aditya Venkatesh

A curious, attentive, and energetic student with a proactive mindset and a strong motivation to contribute positively to the community, always eager to learn and grow through new challenges and experiences.

English, Hindi, Kannada

Playing Chess, Badminton, Guitar, Piano and Singing Carnatic, Classical Vocals

• PESU IO: Deep Dive into Gen AI, PES University, August 2023 – October 2023
• Data Science, Coincent AI, January 2024 – March 2027
• AIML in detail, Udemy, November 2024 – February 2025
• Introduction to Linux, LinuxFoundationX, January 2025 – March 2025

• Qualys Vulnerability Management, Detection and Response
• Qualys Cyber Security Asset Management

• Password generator with encryption using Python - worked on a password generator that created randomized, user-based passwords, encrypted them, and securely stored the data in a database accessible only to authorized personnel •
• Audio customizer - Worked on an audio customizer web app built with React, Node, Express, and MongoDB that allowed users to upload and transform audio through multiple customization features
• AI chatbot - Worked on a lawyer AI chatbot that assisted users in making informed legal decisions without hiring a lawyer, leveraging NLP, machine learning, and knowledge representation modules. this was done as part of the PESU IO course I took on generative AI in PES University.
• Motion Detected Streetlights - Worked on a smart streetlight system using ESP32, IR sensors, relays, and high-power LEDs that automatically illuminated based on vehicle movement.
• Custom Network Packet Sniffer - Worked on developing a custom network packet sniffer in C using raw sockets, implementing modules for packet capture, protocol filtering (TCP, UDP, ICMP), and traffic analysis.
• Predicting Mortality of Heart Failure Patients - Worked on a machine learning model for predicting the mortality risk of heart failure patients using clinical data.
• Credit EDA - Worked on Credit Exploratory Data Analysis using Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn to identify patterns, trends, and risk insights in financial datasets