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π¬ AI Researcher @ NYU (Current)
- π§ Leading multimodal AI research for medical imaging and report generation
- β‘ Built PyTorch pipelines reducing preprocessing time by 20% on NYU HPC
- π Demonstrated superior performance of ViLT over MedCLIP in multimodal alignment
π Software Engineer (AI) @ Google (via Crest Data)
- π‘οΈ Integrated anomaly detection algorithms into Google Chronicle SIEM for 500K+ users
- π Deployed 10+ ML-enhanced log parsers, boosting data usability by 30%
- β±οΈ Reduced manual log management by 30% and alert resolution time by 40%
π’ Previous Roles
- π¬ IBM Research - Differential Privacy & Data Protection (35% privacy enhancement)
- π€ Tech M - NLP Chatbots & Computer Vision (25% accuracy improvement)
π― Impact: Complete MLOps pipeline with distributed training
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π― Impact: Enhanced LLM security and robustness
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π Amazon Sambhav Hackathon Finalist π₯ 5,000+ Active Users
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πΌοΈ AI-Driven Image Categorizationπ― Impact: Scalable computer vision deployment
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Project | Tech Stack | Description |
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π IBM Differential Privacy | IBM Privacy Lib, Python | 35% privacy enhancement, 90% data utility preservation |
π MSMARCO Search Engine | Information Retrieval, Python | Efficient search algorithms and ranking mechanisms |
π Cover Letter Generator | LangChain, NLP | Automated personalized content generation |
βΈοΈ Kubernetes ML Deployment | Kubernetes, MLOps | Scalable ML infrastructure for production |
π§ Deep Learning Research | Deep Learning, Research | Advanced neural network architectures |
π» Algorithm Solutions | Python, Algorithms | Optimized competitive programming solutions |
Degree | Institution | Period | Focus |
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MS Computer Engineering | New York University | 2023-2025 | Artificial Intelligence |
BTech Computer Engineering | Vishwakarma Institute of Technology | 2018-2022 | Core CS Fundamentals |
- π₯ Finalist - Amazon Sambhav Hackathon 2024
- π― Best Attending Team - Hack NYU
- π Best Paper Award - IEEE Pune 2022
- π IEEE Publication: "Vehicle Characteristics Recognition by Appearance" (2022)
- π Patent: "CONCRETE GAN: Hybrid AI-based Data Generation Model" (202221001110A)
I'm always excited to collaborate on innovative AI projects, discuss research ideas, or explore new opportunities in machine learning and artificial intelligence.
β Fun Fact: I've worked on everything from medical AI to cybersecurity, always finding new ways to apply machine learning to solve real-world problems!