My objective is to maximize the utilization of the knowledge I have acquired. I'm excited to grow, collaborate, and contribute to the world of technology.
My objective is to maximize the utilization of the knowledge I have acquired. I'm excited to grow, collaborate, and contribute to the world of technology.
I'm deep into learning how to build and structure the digital world, one challenge and one precise instruction at a time.
Team-oriented, organized, public speaker, and proficient in professional documentation.
Enjoy exploring places, meeting people, beaches, photography, and trying new food.
Pursuing B.E. in Computer Engineering (Hons. AI & ML) at Vivekanand Educational Society's Institute of Technology (2022–26).
President of Prakhar Innovations @ CMPN
Cell established to foster creativity, entrepreneurial thinking, and problem-solving
skills among engineering students by Dept. of Computer Engineering.
August 2023 - November 2024
The National Scholarship Portal (NSP) faces challenges like non-automated systems, complex processes, physical verifications, fraud, delays, and data security. This project proposes a blockchain-based solution to create a tamper-proof, streamlined, and secure system, enhancing trust and accountability in scholarship management. Published in IET Blockchain - Nov 2024
Team: Neelkanth Khithani, Kushl Alve, Vedang Gambhire, Shivam Choubey, Atharva Hande, Asmi Rajbhar
February 2025 - April 2025
An automated security pipeline using GitLab CI/CD for SAST. Exports findings to Google Cloud Platform (GCP) and integrates the Gemini AI model into the front-end to provide developers with AI-guided vulnerability remediation and code fixes. Medium Blog Available
Team: Neelkanth Khithani, Ishwari Dehadray, Atharv Inamdar
August 2025 - October 2025
A Real-Time Predictive Maintenance pipeline using streaming sensor data. Integrates Apache Kafka for ingestion, PySpark Streaming for processing, MongoDB for anomaly storage, and Power BI for visualization
August 2025 - October 2025
Detects fraudulent activities in financial transactions by leveraging Graph Neural Networks (GNNs).
Team: Neelkanth Khithani, Atharv Inamdar
Feel free to reach out to me anytime.
