Programming Languages
Python, C, C++, C#, Java, Data Structures & Algorithms, Operating Systems, Computer Networks
FULL-STACK DEVELOPER / COMPUTER SCIENCE ENGINEER
Computer Science Engineer passionate about Machine Learning, Cybersecurity and Software Development.
Building intelligent, secure and scalable solutions to real-world problems.
AMARTYA KUNTA · COMPUTER SCIENCE ENGINEERA LITTLE ABOUT ME
I’m a Computer Science and Engineering student at the University of Hyderabad, interested in how machine learning and security can make software more useful and dependable.
My academic and project work has covered edge-based object detection, secure IoT data pipelines, and role-based software systems. I enjoy learning across the stack and turning practical requirements into clear, working solutions.
WHAT I WORK WITH
Tools and foundations developed through coursework, independent learning, and projects.
Python, C, C++, C#, Java, Data Structures & Algorithms, Operating Systems, Computer Networks
HTML, CSS, JavaScript, Node.js, PHP, XML
MySQL, MongoDB, Database Management Systems
Machine Learning, NLP, Generative AI, Transformers, BERT, Attention Mechanisms
Identity & Access Management, Threat Modeling, Risk Analysis, Digital Security
Google Cloud, Vertex AI, MLOps, Git, Cisco Packet Tracer
SELECTED WORK
A selection of academic and applied projects across software, data, and intelligent systems.
Developing an object detection system for 25 classes using VisDrone and Open Images, with model optimization for edge deployment.
Building a role-based elective allocation system using student preferences, CGPA, merit order, and seat limits.
Connected a Raspberry Pi and DHT11 sensor for data collection, cloud communication, and protected storage.
A role-based system for exam scheduling and invigilator assignment.
A billing system with slab-based tariff computation, bill generation, and payment tracking.
PROFESSIONAL EXPERIENCE
INTERNSHIP · DATA SCIENCE
YBI Foundation
Worked on machine learning model development, data preprocessing, feature selection, model comparison, statistical analysis, and model evaluation with attention to bias handling.
EDUCATION & RECOGNITION
2023 — 2028
Integrated Master of Technology in Computer Science and Engineering
ACHIEVEMENTS
CERTIFICATIONS
GET IN TOUCH
Have an opportunity or an idea to discuss? I’d be glad to hear from you.