Hi, I'm Radhika
Crafting elegant digital experiences with cutting-edge technologies. Specialized in building scalable web applications and innovative solutions.
Education & Achievements
Building a strong foundation through continuous learning and academic excellence
Bachelor of Engineering - BE, Computer Science
Birla Institute Of Technology and Science, Pilani Dubai
Grade: 8.16
I actively contributed to technical and leadership initiatives as the Technical Executive of the Linux Users Group and Marketing Executive of the IFOR Robotics Club. I worked on impactful projects, showcasing my commitment to innovation and technical excellence. As the Technical Executive of the Linux Users Group and Marketing Executive of IFOR Robotics Club, I have undertaken impactful projects and leadership roles, showcasing my commitment to innovation and technical excellence.
Delhi Public School, Dwarka
Grade: 95%
I consistently excelled in academics, earning a Gold Medal for seven consecutive years of academic excellence. In my CBSE board examinations, I secured 93% in Class 10th and an outstanding 95% in Class 12th, with a perfect 100/100 in Mathematics.
Work Experience
Building innovative solutions and contributing to impactful projects across diverse domains
Cofounder
EcoVanguard
Developed a deep learning model on image datasets for waste segregation. Worked on Mycobot280 Jetson Nano Robotic Arm and integrated the bot with the deep learning model.
Software Developer
AppGallop • Internship
Developed backend pipelines for AI applications with RAG, integrated OCR, stored embeddings in Pinecone, built FAISS indexes for similarity search, streamlined real-time data flow, and collaborated with cross-functional teams.
Full-Stack Android Developer
Trusty • Freelance
Developed a mobile application using Android Studio (Java/Kotlin) with responsive UIs, integrated Firebase Authentication, Realtime Database, Data Connect, and leveraged AWS S3 for scalable storage solutions.
Back End Developer Intern
Veehive • Full-time
Developed a full-stack application with Firebase authentication, AWS S3-based file management, chat storage, Node.js backend, MongoDB database, and thoroughly tested APIs using Postman.
Published Research
Contributing to the scientific community through research in AI, ML, and healthcare technology
A Study to Evaluate Various Machine Learning Approaches for Breast Cancer Prediction and Detection
Radhika Khatri, Sanober Sarfaraz Ahmed, Neeru Sood, Anubhav Gupta
Breast cancer, prevalent among women, especially those with a genetic predisposition, presents substantial challenges in understanding and mitigating its impacts. Early detection is paramount to prevent the progression and spread of this disease. This study evaluates ten different machine learning algorithms to understand their efficacy and adaptability across various datasets.
View PublicationAn Experimental Framework for Implementing Decentralized Autonomous Database Systems in Rust
Prakash Aryan, Radhika Khatri, Vijayakumar Balakrishnan
This paper presents an experimental framework for implementing Decentralized Autonomous Database Systems (DADBS) using the Rust programming language. The framework explores the practical aspects of building a DADBS, focusing on Rust's unique features that improves system reliability and performance.
View PublicationA Study to Evaluate Various Machine Learning Approaches for Early Prediction of Neurodegenerative Diseases
Sanober Sarfaraz Ahmed, Radhika Khatri, Harsh Garg, Neeru Sood, Anubhav Gupta
Alzheimer's and Parkinson's diseases are prevalent neurodegenerative disorders among the elderly. This study systematically evaluates the efficacy of various machine learning algorithms for early prediction of neurodegenerative diseases using two distinct datasets.
View PublicationComparative Analysis of Various Machine Learning Approaches to Predict Postoperative Mortality in Patients Undergoing Aortic Valve Replacement for Severe Aortic Stenosis
Harsh Garg, Anubhav Gupta, Radhika Khatri, Sanober Sarfaraz Ahmed, Neeru Sood
This paper evaluates the predictive performance of eight machine learning algorithms in forecasting postoperative all-cause mortality in AS patients using two approaches: no resampling and resampling with SMOTE combined with Tomek Link removal.
View PublicationDigital twins in medical education and training: evaluation of metaverse technologies
Radhika Khatri, Prakash Aryan
This chapter examines how virtual replicas transform medical training by providing safe, repeatable learning environments for healthcare professionals. The chapter presents practical implementations of virtual training systems in medical schools.
View Publication