LLM Post-Training Intern at Ethara.ai and GSoC 2025 contributor to Brain-Globe. Specializing in RLHF, preference data annotation, computer vision, and building high-performance AI workflows with 760+ solved DSA problems.
0+ DSA Problems Solved
AI Engineer with hands-on experience in LLM post-training workflows, open-source neuroscience tools (Brain-Globe PR #519), GCP cloud solutions, and international computer vision research publications.
Supercharging Large Language Models with human-aligned data to achieve industry-grade performance and reliability.
Contributed to cell-finder in the Brain Globe open-source neuroscience suite. Authored accepted PR #519 resolving a critical PyTorch dependency issue.
Achieved Legend Milestone status by deploying and managing compute, storage, and cloud AI/ML solutions on GCP.
Featured publications and machine learning systems built using PyTorch, OpenCV, Scikit-Learn, and Generative APIs.
Presented at ICMCE-2026 and accepted as a Springer book chapter. Real-time gesture tracking using OpenCV, MediaPipe, and Gemini API.
Trained an SVM classifier to predict diabetic status with 88% accuracy using StandardScaler normalization and custom real-time input pipelines.
Developed a Logistic Regression model classifying cardiac risk with 85% accuracy using stratified splits to prevent pipeline data leakage.
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Greater Noida, India