Working on two Research Projects:

• Compositionality of Post-training interventions under Shashwat Goel (Max Planck and ELLIS Institute)
• Understanding and verifying the Autoregressive Hypothesis under Jacek Karwowski (Oxford University)

Joined as first MLE on Team

Engineering pipelines for medical-legal record review, improving information extraction from patient-case records

Key Highlight: DAAD-WISE'24 Scholar

Responsibilities include:

• ML Research intern at CAMP lab
• Worked on multimodal point cloud registration between US and tactile point clouds
• Explored various multimodal metrics like LC2 for medical registration
• Explored various methods like ICP, Coherent Point Drift

Key Highlight: First MLE on the Team

Responsibilities include:

• Architected and deployed LLM-driven agents, including an AI Interviewer and a Github Analyzer
• Led development of hybrid Information Retrieval pipeline boosting search relevance
• Built SFT & evaluation frameworks for quantification of retrieval and profile-eval pipelines

Responsibilities include:

• Worked on fraud and attack detection using Transformers on real-world datasets
• Researched time-series data analysis for fraud detection in Electric Grid systems using Smart Grid data
• Explored Explainable AI techniques like LIME and SHAP for robust justifications and interpretability of models

Responsibilities included :

• Studied HHL Algorithm and various methods of implementation of Quantum Phase estimation
• Implemented Iterative HHL and Quantum Phase Estimation Algorithms
• Explored and implemented various Quantum Algorithms like Deutsch-Josza Algorithm, Grover’s Algorithm, Bernstein-Vazirani Algorithm, Quantum Fourier Transform and Quantum Phase estimation