I’m a Python developer and lifelong learner, passionate about solving real-world problems with machine learning and clean code. I also enjoy contributing to open-source projects and collaborating globally.
My educational journey began at Jawahar Navodaya Vidyalaya, Lepakshi, where I was honored to be among the top 80 students selected from nearly 4,000 applicants through a competitive entrance exam (JNVST) at the age of 10. This early achievement set the foundation for my academic excellence. I went on to complete my higher secondary education at Narayana Junior College, where I further honed my skills and deepened my knowledge.
I am currently in the 5th year of my Integrated Dual Degree program at IIT (BHU), Varanasi, recognized as one of India’s top 10 engineering institutes by NIRF. I earned my place here by successfully clearing JEE Advanced, one of the country’s most competitive entrance exams. This achievement reflects not only my academic abilities but also my dedication, perseverance.
Conducting thesis research on identifying crime-prone roads in Hyderabad by analyzing telecom and nightlight data patterns under Dr. Agnivesh Pani's guidance in SCULPT{Lab}.
Implemented Snowflake integration for AIFAQ chatbot with secure APIs, automated Snowpipe data ingestion, and intelligent document retrieval using Cortex AI.
Architected Terminal User Interface for DataShuttle open-source project using Textual framework, serving 500+ neuroscience researchers with cross-platform executables.
Contributed 4+ meaningful pull requests during Hacktoberfest, collaborating with global developers to enhance repository functionalities and solve machine learning challenges.
Worked as an intern at IWAI (Vijayawada), contributing to the development of India’s National Waterway 4. Gained insights into shipping and tourism transformations along the Krishna and Godavari Rivers.