Resume snapshot
MS Computer Science student at Rochester Institute of Technology focused on ML systems, retrieval, backend APIs, and data pipelines.
Knowledge graph embeddings, link prediction, negative sampling, FAISS evaluation, and IR metrics.
CNN defect detection, OpenCV pipelines, AWS workflows, FastAPI monitoring, and anomaly detection.
Financial data pipelines, Pandas analysis, SQL, PowerBI dashboards, and statistical modeling.
MS in Computer Science, GPA 3.93, Advanced Graduate Certificate in AI and Big Data, 2023 to 2026.
B.Tech in IT + MBA in Finance and Business Intelligence, 2017 to 2023.
Showing bundled resume project summaries.
Scalable similarity search architecture for high-dimensional chess decision spaces.
Public-safe rebuild planned for semantic retrieval, reranking, and document decision support.
Predictive player behavior modeling and strategy analytics roadmap.
Python, C/C++, Java, SQL, JavaScript, PyTorch, TensorFlow, Transformers, NLP, FAISS, FastAPI, Node.js, AWS, Docker, CI/CD, PostgreSQL, MongoDB, Neo4j, Pandas, NumPy, PowerBI.