About Me

I’m a Machine Learning Practitioner and Faculty at Saint Louis University, passionate about applying AI for real-world impact. My focus spans natural language processing, computer vision, predictive analytics, and full-stack ML systems. I’ve built scalable solutions processing thousands of data points and mentored 250+ graduate students in hands-on software solutions. Whether predicting crop yields or optimizing learning outcomes, my work is rooted in bridging theory with practical innovation.

Education

• MS Information Systems, Saint Louis University, GPA: 3.93/4.00 (Aug 2022 – May 2024)
  • MRP-Thesis: Developed a mobile app for farmers, enabling market access, equipment rentals, and community collaboration with real-time weather and logistics support.
  • Awarded Distinction and Distinguished Graduate of Saint Louis University.
  • Relevant Courses: Information Retrieval, Software Engineering, Enterprise Architecture.
• B.Tech in Electronics & Computer Engineering, JBIET (July 2017 – June 2021)
  • Capstone: “Smart Home Automation using IoT” — reduced energy usage by 20% with sensor-driven systems.

Professional Experience

• Adjunct Faculty, Saint Louis University (Aug 2024 – Present)
  • Mentor 70+ graduate students per semester in web development, design, data structures, and deployment, fostering practical skills through project-based learning.
  • Designed and delivered a new course module on scalable software architectures, increasing student project completion rates by 25%.
  • Introduced real-world case studies on AI applications, enhancing student understanding of theoretical concepts by 30% as per feedback surveys.
• ITS Researcher, Saint Louis University (Mar 2023 – Dec 2024)
  • Optimized workflows for 3D print station and Lost & Found UI, reducing ticket workload by 30% through streamlined ticketing systems.
  • Developed a QR code-based asset tracking system, cutting manual labor hours by 35% and improving retrieval efficiency.
  • Led a cross-functional team to automate high-priority email notifications, saving 15 hours of staff time weekly and improving response times by 40%.
• Associate Software Engineer, Qentelli Solutions Pvt Ltd, Hyderabad, India (Mar 2021 – Jul 2022)
  • Developed responsive web applications using React, Vue, Node.js, and Electron, integrating ML models to process over 10,000 data points daily.
  • Designed and implemented an automated testing suite with Jest, reducing bug incidence by 20% and accelerating release cycles by 15%.
  • Collaborated with product teams to enhance UI/UX features, boosting user engagement metrics by 18% through A/B testing and iterative design.

Research Interests

• Natural Language Processing (NLP): Focused on building interpretable and domain-specific NLP systems, including transformers for education, healthcare, and chat-based applications.
• Interpretability & Explainability: Exploring SHAP, LIME, and counterfactual explanations to build transparent AI models, especially in sensitive domains like healthcare and finance.
• Computer Vision: Applying CNNs and transformer-based architectures for real-world tasks such as object detection, scene understanding, and agricultural monitoring.
• AI in Agriculture: Leveraging ML and CV techniques for crop health detection, yield prediction, and smart irrigation systems.
• AI in Education: Designing adaptive learning systems, automated feedback generation, and performance analytics to enhance personalized education.

Projects

Publications & Service