"Biologyβs complexity demands AI that thinks like Darwin and codes like Turing."
Bridging deep learning, IoT, and genomics to create intelligent, scalable solutions for global challenges.
AI-powered crop disease detection system using CNN-based image classification and IoT sensor networks.
Indiaβs first open-access genomic database for indigenous species, enabling AI-driven conservation strategies.
An AI-powered genomic data analysis suite integrating deep learning for mutation detection and functional annotation.
- π‘ Precision Farming: AI-powered sensor networks for autonomous crop health assessment
- π¦ Disease Prediction: CNN & GAN-based models for early plant disease identification
- π± Yield Optimization: AI-driven climate analysis and crop productivity forecasting
- πΎ Sustainable Agri-Tech: AI-powered IoT solutions for minimal resource farming
- 𧬠Genomic AI: Deep learning for gene sequence analysis and mutation prediction
- π Genomic Database Development: Scalable platforms for genomic data curation and annotation
- π©Ί Medical Imaging: AI-assisted radiology for liver disease and metabolic disorder detection
- π§ͺ Drug Discovery: AI-powered molecular simulations for rapid biomarker identification
- π°οΈ AI & Remote Sensing: Leveraging satellite imagery for large-scale crop monitoring
- π‘ Edge AI & TinyML: Running AI models on low-power IoT devices for real-time analytics
- π Federated Learning: Privacy-preserving AI models for healthcare and agriculture
- π΅οΈββοΈ Explainable AI (XAI): Enhancing interpretability of deep learning models in life sciences
- π― Problem-First Approach: Start with real-world impact, then engineer solutions.
- π€ Automate & Optimize: Build pipelines, not one-off scripts.
- π Data Storytelling: Translate models into actionable insights.
- Advanced: Graph Neural Networks (GNNs) for protein folding
- Exploring: TinyML for edge-based agricultural IoT
- Mentorship Needs: Scaling AI models for production (MLOps)
- π Responsible Tech: Closing my late fatherβs finance business ethically, returning 100% of pledged assets.
- πΌ Startup Vision: Actively seeking collaborators for AI-driven agri-tech ventures (βΉ1.5L seed fund ready).
- π Knowledge Sharing: Designing gamified leaderboards for student learning platforms.
- π¬ Research Partnerships: Looking for academic and industry collaborators in AI-driven agriculture, genomics, and healthcare ML.
- 𧬠Genomic Tool Development: Seeking partners to co-develop AI-powered genomic data analysis frameworks and predictive bioinformatics models.
- π Genomic Database Creation: Collaborating on scalable, cloud-integrated genomic databases for AI-driven healthcare and conservation research.
- π Agri-Tech Innovations: Open to partnerships with startups, research labs, and enterprises working on AI-powered smart farming, disease prediction, and sustainable food production.
- π‘ IoT & AI Solutions: Seeking IoT and AI system integrators to develop real-time analytics platforms for agriculture and life sciences.
- π» Open-Source Contributions: Actively contributing to and maintaining AI/ML projects for bioinformatics and smart agriculture.
- π Funding & Entrepreneurship: Exploring funding opportunities and partnerships to commercialize AI-driven solutions for sustainable farming.
π© Letβs Connect: Reach out for collaborative projects, research tie-ups, and innovative AI-driven solutions.