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
Scikit-learn
Pandas
NumPy
Matplotlib
TensorFlow
Tools
Jupyter Notebook
Git
GitHub
VS Code
Soft Skills
Time Management
Leadership
Communication
Teamwork
Adaptability
Projects
Atmosphere Pro
Random Forest
Data Preprocessing
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
SLAM
Machine Learning
IoT
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
19/08/2023 - 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