I'm a passionate Electronics and Computer Engineering student at UPES, Dehradun, with a deep fascination for Artificial Intelligence, Machine Learning, and Full-Stack Development. I love building scalable solutions that make a real-world impact, from genomic analysis platforms to disaster reporting systems.

• 🔬 Currently working on Applied Genomic AI with 40B-parameter models
• 🌱 Learning advanced Deep Learning and Cloud Architecture
• 🎯 Passionate about AI/ML, Bioinformatics, and Real-time Systems
• 📫 Reach me at: [email protected]

Real-time genomic analysis framework using 40B-parameter Evo2 model

• 🎯 90%+ accuracy in variant pathogenicity prediction
• ⚡ Processes 1,000+ analyses per hour with cloud-native backend
• 🏥 Applications in clinical analysis, species identification, and biodiversity assessment
• 💻 Tech: PyTorch, NVIDIA H100 GPU, Cloud Computing

End-to-end audio classification with custom ResNet architecture

• 🏗️ Custom ResNet-style CNN built with PyTorch
• 🔊 Advanced audio preprocessing with Mel Spectrograms
• 🚀 Serverless GPU inference using Modal and FastAPI
• 📊 Interactive Next.js dashboard with real-time visualization

Full-stack application for AI-powered music creation

• 🎼 Generates unique music from text prompts using ACE Studio's 'ace-step'
• ☁️ Scalable AWS infrastructure with S3 and IAM
• 💳 Complete SaaS solution with payment integration

Real-time disaster detection and reporting system (48-hour hackathon - 4th Place)

• 🗺️ Live disaster zone mapping with social media sentiment analysis
• 🤖 Hugging Face sentiment analysis integration
• ⚡ Real-time data processing and visualization

University of Petroleum and Energy Studies (UPES), Dehradun
Bachelor of Technology, Electronics and Computer Engineering | Expected 2027

Core Coursework: Data Structures & Algorithms, Operating Systems, Computer Networks, Database Management Systems, Object-Oriented Programming, Machine Learning

• 🥉 ResQAI Disaster Reporting Platform (48-hour hackathon)
• 🚀 Built real-time disaster detection system with AI-powered sentiment analysis

• 🔬 Research Experience: Working with cutting-edge 40B-parameter AI models for genomic analysis
• 🏗️ Full-Stack Expertise: From React frontends to scalable cloud backends
• 🤖 AI Specialization: Deep learning, NLP, computer vision, and bioinformatics applications
• ⚡ Rapid Prototyping: Proven ability to build complex systems in short timeframes
• 🌍 Real-World Impact: Projects spanning healthcare, disaster management, education, and e-commerce

• 🧬 Advancing computational genomics with AI
• ☁️ Mastering cloud-native architectures and serverless computing
• 🤖 Exploring large language models and their applications
• 🚀 Building scalable AI solutions for real-world problems