ASHWATH SHIVA P
Computer Science Engineering Student · Python Developer · AI & Full Stack
01 // Professional Summary
Computer Science Engineering student with hands-on experience in Python, Django, Machine Learning, Full Stack Development, and AI-powered applications through academic projects and internships. Passionate about building scalable software solutions and continuously learning modern technologies.
02 // Education
Bachelor of Technology (B.Tech) in Computer Science and Engineering
Vimal Jyothi Engineering College, Kannur, Kerala (APJ Abdul Kalam Technological University)
Cumulative Grade Point Average (CGPA): 7.74 / 10
03 // Technical Skills
Programming Languages
Python, Java, C, JavaScript, TypeScript, PHP, SQL
Web & Frameworks
HTML5, CSS3, Django, React, FastAPI, REST APIs
Databases & Vector Stores
MySQL, PostgreSQL, Supabase, Qdrant Cloud
AI & Machine Learning
PyTorch, Librosa, Scikit-learn, NumPy, Pandas, RAG Architectures
Developer Tools & Environments
Git, GitHub, VS Code, Postman, Docker, Linux CLI, XAMPP
04 // Key Technical Projects
KTU AI — RAG-Based Academic Assistant
FastAPI, Python, Qdrant Cloud, React, TypeScript, Supabase, PostgreSQL
- Designed and engineered a Retrieval-Augmented Generation pipeline to ground student queries strictly against verified KTU syllabus documents.
- Implemented high-dimensional semantic search with Qdrant vector database and asynchronous FastAPI endpoints.
- Constructed an interactive React query interface with citation inspection links back to original ordinance sections.
AI-Based Urban Sound Classification Using Deep Learning
Python, PyTorch, Librosa, NumPy, scikit-learn
- Developed an AI-powered system to classify urban environmental sounds for smart city and emergency response scenarios.
- Extracted 40-band Mel-Frequency Cepstral Coefficients (MFCCs) and spectral features from raw audio waves using Librosa.
- Built and trained a 2D Convolutional Neural Network in PyTorch with regularization to achieve robust classification accuracy across auditory categories.
Period Tracker Web Application Using PHP & MySQL
PHP, HTML5, CSS3, JavaScript, MySQL
- Developed a private, accessible web application for menstrual cycle logging, symptom tracking, and automated phase predictions.
- Engineered authenticated user sessions, cycle history records, and relational data modeling with MySQL.
- Crafted an intuitive, responsive user interface ensuring complete data privacy and seamless mobile usability.
05 // Internships & Professional Training
Full Stack Development Intern
Zoople Technologies, Kochi, Kerala
- Developed responsive web applications utilizing Django, HTML, CSS, JavaScript, and MySQL relational storage.
- Worked on frontend and backend integration and implemented robust CRUD operations with clean database schemas.
UI/UX Design Intern
TECHMINDZ, Infopark, Kochi, Kerala
- Designed user-friendly interfaces, user journey maps, and high-fidelity wireframes for web applications.
- Applied visual hierarchy, contrast heuristics, accessibility guidelines, and interaction design methodologies.
Data Science with Python Intern
Techmaghi Technical Training
- Engineered Python-based applications including Recommendation Engines, interactive games, and classification models.
- Gained hands-on experience in tabular data analysis, algorithmic preprocessing, and practical machine learning fundamentals.
06 // Verified Certifications
- Python 101 for Data Science (PY0101EN) — IBM SkillsBuild · Completed Dec 13, 2025
- Data Science 101 (DS0101EN) — IBM SkillsBuild · Completed Dec 13, 2025
- UI/UX Design Internship Completion — TECHMINDZ Infopark · Cert: TMZ/INT0626/2706
- Prompt Engineering — AWS Training & Certification · Completed Dec 15, 2025
- TechMaghi — Two-Month Course Certificate — TechMaghi · Completed Aug 06, 2025 · Cert ID: TM23DSL10107
07 // Academic Coursework & Languages
Relevant Coursework: Data Structures & Algorithms, Database Management Systems, Operating Systems, Computer Networks, Theory of Computation.
Spoken Languages: English (Fluent), Malayalam (Native), Hindi (Basic).