Dhruv Agarwal
Founder in Residence @ Entrepreneurs First
About
A stumbling fool in Pursuit of New, Interesting ways to Fail The struggle itself toward the heights is enough to fill a man's heart Dhruv's me bro, let me be me
India
Bengaluru
Biotechnology
Statistics, MLOps, Computational Biology, Quantum Computing, Quantum Machine learning, Drug Development, Generative AI, Penetration Testing, Rust (Programming Language), Generative Adversarial Networks (GANs), Large Language Models (LLM), Natural Language Processing (NLP), Fine Tuning, Computer Vision, Convolutional Neural Networks (CNN), TensorFlow, Keras, Deep Learning, Deep Reinforcement Learning, Recommender Systems
Experience

GSTAR Member
San Francisco Bay Area
Bagged the First Position in an internal competition and won an exclusive chance to Demo my Project to Jeff Dean (Google's Chief Scientist) and 100k cloud funding from goggle. Worked under Dr Thang Luong and Dr Yi Tai (the lead developers of Gemini 2.5 pro). Developed one of the world's fastest backprop implementation using attention sinks and flash attention

Generative AI Researcher
Manipal
Conducted Advanced Molecular Drug development research under Dr. Neha Gandhi. Developed a cutting-edge Generative AI model to design novel molecular structures for antibiotics capable of overcoming the widespread resistance mechanisms observed in current medications, Our model beat State of the art performance in ease of synthesizibility by 50 percent and in efficiency by 10 percent

Quantum Computing Research Assistant
Manipal
Conducted advanced research under Dr. Vivekanand Bhat, gaining valuable expertise in quantum computing and machine learning. Optimized diverse machine learning algorithms for quantum computing platforms, leading to the creation of an innovative classification model that leverages the distinct capabilities of Quantum Computing systems. Currently working on adapting Quantum machine learning for Deep Neural Nets.

ML intern
Bengaluru, Karnataka, India
Contributed to the Design and Optimization of Fraud Detection models that operate at global scale. My work involves building fraud detection systems, addressing Concept and Data drift in real-time pipelines, and helping develop strategies for Zero-Day Fraud identification. The focus has been on both performance and resilience, making sure the models not only detect fraud accurately, but also adapt quickly as Fraud patterns evolve.
Dhruv Agarwal's Contact Information
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