AI/ML Engineer
Turning Data Into Impactful Systems.

• Developed a scalable AI-powered Assignment Grading Platform leveraging NLP and Machine Learning to automate evaluation across essays, coding tasks, and objective assessments, reducing grading effort by 60–70%.
• Implemented rubric-based scoring, bias/fairness controls, plagiarism detection, and instant feedback generation, ensuring consistent and transparent assessment at scale.
• Designed an LMS-integrated cloud architecture with real-time analytics dashboards, enabling institutions to handle thousands of submissions efficiently while improving learner engagement and outcomes.

Acknowledgment No: IMOPR/2021/14216

• Successfully participated in government internship program focused on digital governance and rural development initiatives.
• Contributed to policy research and data analysis supporting panchayat-level administrative improvements.
• Gained insights into e-governance frameworks and digital transformation strategies for rural India.

• Built an anomaly detection system using Convolutional Neural Networks (CNNs) to identify suspicious criminal activities (robbery, homicide, vandalism) from surveillance and crime-related datasets.
• Trained deep learning models on labeled behavioral patterns to detect abnormal movements and unusual events, enabling real-time monitoring for proactive crime prevention.
• Enhanced public safety analytics by designing a framework that continuously improves detection accuracy through iterative learning on new data.

• Conducted a detailed cybersecurity case study on the “Pager Blast” attack, analyzing phishing-based malware delivery, system compromise, and sensitive data exfiltration in critical infrastructure environments.
• Performed OSINT-driven threat intelligence investigations using tools such as Maltego, Shodan, Recon-ng, and TheHarvester to identify attacker patterns and enhance proactive defense strategies.
• Explored modern incident response and SIEM frameworks, including IBM QRadar Security Intelligence Platform and AI-powered tools like GeoSpy.AI, for real-time threat detection, geolocation, and predictive analytics.

• Developed multiple functional Java applications (ATM Interface, Currency Converter, Grade Calculator, Student Management System) using OOP principles.
• Implemented exception handling and input validation significantly improving application reliability and user experience.
• Utilized Git for version control, maintaining clean commit history across all projects.