I am a skilled Python backend developer with expertise in building scalable and efficient applications using FastAPI, Flask, and Django. My strong database knowledge spans MySQL, PostgreSQL, and MongoDB, ensuring optimized and high-performance data management.
I have hands-on experience with Docker deployment, server management, and cloud platforms like GCP, enabling seamless and robust application deployments. Additionally, I have worked on Generative AI projects, integrating AI-driven solutions into applications.
With a deep understanding of backend architecture, API development, and automation, I help businesses build reliable, high-performing, and future-ready applications. Whether it's designing RESTful APIs, database optimization, cloud deployment, or AI integration, I ensure scalable and production-grade solutions.
Additionally, I have participated in two hackathons focused on Generative AI, gaining hands-on experience in machine learning and AI-driven solutions. As an MTech student in Data Science, I have worked extensively with NumPy, Pandas and SQL on internal projects, strengthening my expertise in data preprocessing, model building, and evaluation.