PRATHAM
PRATHAM
YOU WANT TO KNOW MORE ABOUT ME?
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"Technology is a canvas. I use it to explore ideas, solve problems, and build experiences. But beyond the code, there's a human story."
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Synergistic Self-Correction for LLM Reasoning
Architected a novel reasoning framework augmenting LLMs with Proximal Policy Optimization (PPO) and RAG-based grounding to ensure factual consistency. Demonstrated a 60% relative improvement on the GSM8K benchmark.
Adversarial Robustness in Android Malware Detection
Constructed a hybrid malware detection model combining static opcode analysis and dynamic runtime behaviors, achieving 97% accuracy on a dataset of 100,000+ APKs. Accepted for presentation at the Microsoft Future Tech Conference.
Reproducible RL Research Pipeline
As an AI Research Intern at DA-IICT, I engineered a complete RL research pipeline using Docker, reducing model evaluation time by 40% and boosting accuracy by 20% through robust experiment harnesses.