About
AI & Machine Learning student currently building a strong technical foundation through academic research and collaborative projects. As a dedicated beginner in the field, I have gained hands-on experience in predictive modeling and SLAM-based robotics.
Skills
AI/ML
Machine Learning
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Libraries & Frameworks
Scikit-learn
Pandas
NumPy
Matplotlib
TensorFlow
Development Tools
Jupyter Notebook
Git
GitHub
VS Code
Soft Skills
Leadership
Teamwork
Communication
Adaptability
Projects
Atmosphere Pro | AI-Based AQI Forecasting System
Random Forest
Data Preprocessing
Model Serialization
Frontend Development
Developed an end-to-end AQI prediction system using Random Forest, achieving a validated 81% R² score. Engineered the data preprocessing pipeline and managed model serialization to ensure reliable multi-city predictions. Created an interactive frontend dashboard to visualize real-time air quality insights and historical trends.
AGRIXION | AI-Powered Autonomous Farming Robot
SLAM
Machine Learning
IoT
Robotics
Sensor Data
Engineered a prototype for an autonomous robot using SLAM (Simultaneous Localization and Mapping) for pathfinding. Implemented ML-based soil nutrient prediction algorithms to enable automated precision fertilization. Integrated an IoT dashboard to visualize real-time sensor data and monitor system health remotely.
Education
BE in Artificial Intelligence & Machine Learning
Sri Sairam College of Engineering
01/01/2023 - Present
CGPA: 7.745 [five semesters]. Coursework: Artificial Intelligence, Data Structures and Algorithms, Database Management Systems, Python Programming.
Certifications
Academic Process Mining Fundamentals
Celonis
06/11/2025
Applied Generative AI
Infosys Springboard
22/03/2024
Cyber security Foundation
Infosys Springboard
26/08/2025
Artificial Intelligence Fundamentals
IBM
31/01/2025
Data Analytics Job Simulation
Deloitte
21/02/2026