Computer Science | Master of Science
Luddy School of Informatics, Computing and Engineering, Indiana University — Indianapolis, USA
Expected Grad: 2026
Focus: AI / ML
Location: Indianapolis
About Me
Crafting AI that doesn’t just think, it feels.
I’m a Master’s student in Computer Science who designs intelligent systems that move in real time and adapt like instinct. My work blends machine learning, computer vision, and creative interfaces to turn abstract data into deeply human experiences.
From a calorie-aware food recognition model powered by CNNs, to a music genre classifier that hears mood through MFCCs, I build AI that understands context, not just input.
At Stellantis, I helped develop digital instrument clusters using Unity and Qt, fusing engineering with aesthetic clarity inside the vehicle’s most human interface — the dashboard.
But my favorite tools? Curiosity. Emotion. Imagination. I sketch, I rewatch anime, I write prompts that push AI past the expected. My creative instincts don’t compete with my code — they guide it.
I believe the future of AI lies where logic meets empathy, where real-time meets resonance. That’s the world I’m here to build.
🌌 Creative AI
⚡ Real-Time Systems
🧠 CV & ML
🧩 Human-in-the-Loop
🛠️ Skills
💻 Technical Skills
Languages:
PythonCC++
JavaC#JavaScript
Frameworks & Libraries:
TensorFlowOpenCVPandas
NumPyMatplotlibScikit-learn
Tools & Technologies:
CANoe VectorUnityQt Creator
QNXParasoftMySQL
🧠 Core Competencies
- Data Analysis & Visualization: Pipelines with Pandas, NumPy, and Matplotlib for crisp insights.
- Machine Learning & AI: CNNs, Decision Trees, and Linear Regression with TensorFlow & Scikit-learn.
- Image Processing: OpenCV apps for detection and pattern recognition.
- Collaboration & Leadership: Team projects, task delegation, code reviews.
- Time Management: Balancing coursework with technical builds through careful planning.
🎓 Academics
Computer Science & Engineering | Bachelor of Engineering
SRM Institute of Science & Technology (SRMIST) — Chennai, India
C.G.P.A: 9.21
Graduated: 2023
Location: Chennai
Projects
🍱 Food Identification & Calorie Recommendation
Built a real-time food image classifier using CNNs and OpenCV. Added adaptive calorie estimation and user-based preference learning.
Achieved 85% test accuracy with increased user engagement.
Tags: #ComputerVision #HealthAI #CNN
Tech Stack: Python, TensorFlow, OpenCV, NumPy
🎶 Music Genre Classification
Engineered a CNN model with MFCC inputs using TensorFlow and Librosa. Tuned with K-fold validation for better generalization.
Delivered 88% genre classification accuracy on GTZAN.
Tags: #AudioML #DeepLearning #MFCC
Tech Stack: Python, TensorFlow, Librosa, Scikit-learn
📚 Smart-Book Rental Platform
Built ML-based recommendations and inventory prediction. Designed user flows and backend data logic.
Improved turnover rate and personalized discovery experience.
Tags: #RecommendationSystem #UserExperience #Analytics
Tech Stack: Python, Scikit-learn, MySQL, Flask
📝 My Blog is Brewing...
I'm crafting thoughtful blogs on AI, creativity, and real-time systems — where code meets curiosity.
✨ Stay tuned for deep dives, storytelling experiments, and engineering notes from the creative frontier.
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📬 Contact Me
Let’s connect! I’m open to collaborations, internships, or creative AI chats.