Machine Learning enthusiast and aspiring AI Engineer with diverse experience in ML, deep learning, and web development. Currently working as an ML and Backend Engineer at Zensible, building healthcare AI systems for mental health professionals in India. I'm passionate about creating AI solutions that make a real-world impact, especially in healthcare and language technologies.
- 🔭 I'm currently working on healthcare AI systems and voice analysis
- 🌱 I'm learning advanced signal processing and specialized ML for mental health
- 👯 I'm looking to collaborate on open-source AI projects
- 🎓 B.Tech in Computer Science (Minor in IoT) at SRMIST, Chennai - CGPA: 9.21
Languages:
AI/ML:
Web Development:
Cloud & DevOps:
Mobile Development:
A comprehensive hospital management platform integrating AI for patient care including medical chat system, report analysis, and abnormality detection.
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- Medical AI chat system with symptom analysis
- Automated medical report analysis for blood tests and X-ray images
- Abnormality detection in medical imaging
- Responsive dashboard with vital signs monitoring
- Health assessment tools with predictive analytics
Real-time emotion detection system for video streams using face-api.js and hls.js, detecting seven emotions with visual feedback.
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- Detects neutral, happy, sad, angry, fearful, disgusted, and surprised emotions
- Visual feedback with colored bounding boxes
- Detailed emotion probability statistics
- Optimized for performance with configurable detection frequency
- Responsive design for desktop and mobile use
Multimodal emotion detection system analyzing both text content and voice patterns for comprehensive emotional intelligence.
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- Speech processing pipeline for tone, pitch, and vocal feature extraction
- NLP models for sentiment and emotion classification from text
- Integration with communication platforms
- Real-time emotional intelligence feedback
- User-friendly interface with visual representations
Building a large language model for Tamil from scratch, implementing custom tokenization and handling complex sandhi rules.
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- Custom tokenization for Tamil script
- Handling complex sandhi rules
- Specialized evaluation metrics for grammatical correctness
- Distributed computing on GPU clusters for efficient training
- Preserving cultural nuances in language processing
🌐 Web LLM
A lightweight language model that runs entirely in the browser without server requirements, optimized for edge computing.
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- Client-side inference with WebGL acceleration
- Compressed model architecture for browser performance
- Progressive loading for immediate user interaction
- Privacy-focused with no data leaving the user's device
- Customizable UI components for easy integration
Private cloud solution using Raspberry Pi for data sovereignty, with robust security measures and remote access.
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- Data sovereignty with complete privacy control
- Security measures to prevent unauthorized AI model training
- Secure remote access system with robust authentication
- User-friendly interface for data management
- Cost-effective alternative to commercial cloud services
Open-source library for EDA signal analysis on PyPI, implementing advanced signal processing techniques for psychophysiological data.
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- Published on PyPI for easy installation
- Advanced signal processing for psychophysiological data
- Comprehensive documentation and usage examples
- Supporting research in affective computing
- Biosignal analysis tools for researchers
- 🥈 ABINITO WINNER: Ranked 2nd in AI Hackathon
- 🏆 Vashisht Hackathon: Won IIITD Hackathon organized on Kaggle
- 🌎 ML OLYMPAID: Ranked 13th Worldwide
- 🥈 CODE BATTLE: Ranked 2nd in EDA at SRMIST
- 📜 Certification: Artificial Intelligence and Machine Learning, University of Texas at Austin, 2024
- 💼 Head Technical Lead - Institute of Innovation and Entrepreneurship (IIE), SRMIST
- 🚀 Technical Lead - Tech Vayuna, SRMIST
- 👨💻 Technical Member - GDSC SRMIST
- 🤝 Technology Volunteer - Social Warrior NGO, Patna
- 🧠 Technical Advisor - Jansdell Bharathi NGO, Kolkata
