Kaushik Alaguvadivel Ramya

About Me

I am a problem solver and AI researcher passionate about developing innovative solutions at the intersection of artificial intelligence, machine learning, and full-stack development. Currently pursuing my Master of Science in Computer Science at New York University, I bring a strong foundation in research, software engineering, and entrepreneurship.

Research Interests & Expertise

My research focuses on Explainable AI (XAI), Fairness in Machine Learning, and Deep Learning applications. I have published 3 IEEE conference papers as first author, with research spanning:

  • UAV/Drone Classification - Developed lightweight CNN architectures with Defense Institute of Advanced Technology, achieving 5× reduction in computational complexity while improving accuracy by 5%
  • Human Activity Recognition - Applied Shapley value-based game theory for feature contribution analysis across 500+ sensor attributes
  • Fair AI Systems - Implemented fairness-aware techniques reducing demographic bias by 30% while maintaining model performance
  • Explainable AI - Extensive work with SHAP and LIME for model interpretability in healthcare and wearable device applications

Want to learn more? Check out my Publications and Experience pages.

Full-Stack Development Achievements

Beyond research, I’m an accomplished full-stack developer with experience building production-ready applications:

  • Startup Projects: Co-founded and developed LegalAppa (AI-driven legal document platform serving 15+ lawyers) and Locallu (freelancer-employer marketplace)
  • E-commerce Platform: Architected Tweeshirt, a GenAI-powered e-commerce platform processing 300+ daily requests with sub-2-second latency
  • Production Systems: Built and deployed TCE Ladies Hostel Management System currently managing 1000+ student records in active production
  • AWS Certified: AWS Certified Machine Learning Engineer and AWS Certified AI Practitioner

Explore my work: View Projects

Key Strengths

  • Research & Innovation: Published researcher with expertise in cutting-edge AI/ML techniques
  • Technical Excellence: Proficient in Python, JavaScript, React.js, Node.js, and cloud technologies
  • Problem Solving: Proven ability to architect scalable solutions from concept to production
  • Leadership: Experience managing teams and mentoring 200+ students as a Teaching Assistant
  • Entrepreneurship: Successfully launched and maintained startup projects with real-world impact

Current Focus

I’m actively seeking opportunities to apply my research and development skills in AI/ML engineering and software engineering roles, where I can contribute to building intelligent systems that make a meaningful impact.

Get in touch: Contact Me