ABOUT ME
As an AI & Data Science Enthusiast, I specialize in developing innovative solutions for computer vision and predictive analytics. My expertise lies in designing and optimizing neural network architectures, as demonstrated by my work on projects like the custom U-Net model for glioma identification, which improved diagnostic accuracy by 25%. I hold a patent for an AI-driven intruder detection system, showcasing my commitment to real-world applications of intelligent technologies. Proficient in Python, SQL, and cloud platforms, I focus on creating impactful AI solutions that solve complex problems.
My technical skills span neural networks, machine learning, and computer vision, with hands-on experience in tools like TensorFlow, PyTorch, and Oracle Cloud Infrastructure. I have successfully delivered over 10 AI/ML projects, including advancements in geospatial smoke detection and drug effectiveness analysis. Beyond technical execution, I value collaboration and problem-solving, leveraging my skills to drive innovation in predictive analytics and smart security systems.
EXPERIENCE
Jan 2025 - Present
Nova Program Trainee
KPIT - Technologies
In November 2024, I joined KPIT as a Trainee, embarking on an exciting journey to apply my technical skills in a real-world setting. Since January 2025, I have been actively participating in the KPIT NOVA training program, where I am honing my expertise in industry-standard tools and methodologies. This immersive learning experience has equipped me with the foundational knowledge needed to tackle complex challenges and deliver innovative solutions, preparing me to contribute effectively to KPIT’s mission of driving technological advancements.
Jun 2023 - Sep 2023
Virtual Reality Development Intern
Tejes Adhes Designs
As a Virtual Reality Development Intern at Tejes Adhes Designs (June–September 2023), I honed my skills in VR development, focusing on innovative solutions for complex challenges. My role involved creating high-quality projects that met established standards while fostering a collaborative team environment through strong communication and creative problem-solving.
Dec 2022 - Feb 2023
AI-ML Virtual Internship supported by AWS Academy
Eduskills
This intensive program enhanced my practical skills in artificial intelligence and machine learning, providing hands-on experience and exposure to industry-relevant tools and techniques.
EDUCATION
2021 - 2025
Bachelor of Technology Artificial Intelligence
SRM Institute of Science and Technology
I am currently pursuing a B. Tech in Artificial Intelligence at SRM Institute of Science and Technology (June 2021 – Present), where I focus on advanced AI/ML concepts and their practical applications. My academic projects include developing a geospatial smoke detection system using U-Net and ResNet-101, achieving 92% accuracy, and an anti-inflammatory drug effectiveness analysis using SVM, Naive Bayes, and Random Forest models. I actively contribute to open-source projects on GitHub, showcasing my hands-on experience with Python, TensorFlow, and cloud platforms. Additionally, I maintain a strong problem-solving skillset, evident from my active participation on LeetCode, where I tackle complex algorithm challenges. Connect with me on LinkedIn to explore my professional journey and collaborative projects.
SKILLS
95%
Python
95%
C/C++
95%
Git, GitHub
90%
TensorFlow/PyTorch
90%
Flask/FastAPI, Django
90%
SQL query tuning, NoSQL
90%
Computer Vision
90%
Hyperparameter tuning, pruning
85%
Academic paper preparation, technical documentation
80%
Data Analysis
80%
Cloud Platforms
90%
WordPress
85%
Machine Learning
85%
Text classification, sentiment analysis
85%
OCI AI Services, Docker
85%
Advanced Matplotlib/Seaborn
85%
Reinforcement Learning
85%
OpenCV, YOLO
ACHIEVEMENTS
29 Feb 2024
SRM Institute of Science and Technology