Hey there, I'm
Utkarsh Priye
A Full-Stack Developer & AI/ML Enthusiast from Bangalore, India.
About Me
I am a Computer Science B.Tech student at Dayananda Sagar University, deeply involved in both frontend and backend development. My expertise spans Python, HTML, CSS, JavaScript, Kotlin, Flutter, and Java. I thrive on creating scalable and user-centric applications, from developing real-time health data management systems to implementing advanced AI models for drug repurposing.
My project experience includes building intuitive interfaces for educational apps, developing robust employee management systems, and pioneering causal AI for complex biological problems. I am passionate about leveraging technology to solve real-world challenges and continuously expanding my skill set.
Education
B.Tech (Computer Science)
Dayananda Sagar University
2022 - Present
CGPA: 6.5 / 10
12th Grade
Bihar Board of Open Schooling and Examination
2020
Percentage: 74.5%
10th Grade
Dr. D. Y. Patil, Patna
2018
Percentage: 72%
Experience
CDSIMER SLD Screening App
Frontend & Backend Developer | March 2024 - January 2025
- Developed and designed the frontend for primary school teachers.
- Contributed to backend development, ensuring seamless data processing and user authentication.
- Integrated Google Firebase for real-time database management, authentication, and cloud storage.
- Assisted in deploying the application for live use, enabling early detection of Specific Learning Disabilities (SLD) in children.
Teltronics
Full-Stack Developer Intern | July 2023 - September 2023
- Developed an Employee Management System using JavaScript, HTML, and CSS for the frontend.
- Built CRUD functionalities for adding, updating, searching, and deleting employee profiles.
- Implemented MongoDB for efficient data storage and retrieval.
- Designed and optimized database schemas for employee records and access management.
Projects
CausalAI-Repurpose: Causal GNN for Drug Repurposing
- Developed a causal graph neural network (GNN) integrating DrugBank, DisGeNET, KEGG, and STRING data to model drug-disease-pathway interactions for repurposing FDA-approved drugs.
- Implemented causal attention and counterfactual reasoning using Granger causality and do-calculus to reduce confounding and enable interpretable predictions.
- Achieved 12-18% AUC-ROC improvement over state-of-the-art models (DeepDR, Decagon) in identifying Alzheimer's drug candidates with validated biological mechanisms.
KAWACHH - Health Data Information & Management System (HDIMS)
SIH 2024 - Finalist | Govt. of NCT of Delhi
- Built a scalable mobile app for hospitals to log and monitor health scheme data in real time, aiding decision-making across administrative levels.
- Added AI-powered features: KPI dashboards, RAG-based alerts, and automated policy insights to boost transparency and efficiency.
- Delivered a cloud-based, mobile-first platform with real-time admin tracking and public health data visibility.
Technical Skills
Skills
Interpersonal Skills
- Leadership and Teamwork
- Communication Skills
- Cross-Cultural Competence
Awareness Skills
- Adaptability
- Time Management
- Decision Making
Certifications & Awards
Certifications/Courses
- Introduction To Python Programming, Coursera.
- Introduction To Front-End Development, Coursera.
- Developing Android APP With Kotlin, Udacity.
Awards & Interests
- Winner Of Smart India Hackathon 2024 Edition.
- Organiser Of DSU DEVHACK
- Tata ClassEdge Award.
- 2nd Position In School Art And Craft Competition.
Get in Touch
I'm always open to new opportunities and collaborations. Feel free to reach out!