FULL STACK DEVELOPER · ROBOTICS & AI · BENGALURU
Ashik Gowda K
Full Stack Developer
Full Stack Developer with a background in Robotics & Artificial Intelligence, building production-ready web applications with Next.js, React, Java, Spring Boot, and MySQL. Alongside full-stack engineering, I am developing practical expertise in Neural Networks, Deep Learning, and Large Language Models (LLMs).
01 — ABOUT
About Me
I am a Full Stack Developer based in Bengaluru with a B.E. background in Robotics and Artificial Intelligence. My primary focus is building production-grade web applications and backend systems using React, Next.js, Java, Spring Boot, and SQL/NoSQL databases.
Alongside software engineering, I have developed a strong foundation in Artificial Intelligence, including Neural Networks, Deep Learning, and the fundamentals of Large Language Models (LLMs). My AI learning includes understanding how neural networks learn representations, how transformer-based architectures process language, and how modern LLM systems are built and used in applications.
At SKYLLX Technologies, I work on a production School ERP platform, where I have contributed to the development of the Fee Management module using Next.js, Spring Boot REST APIs, MySQL, and Axios.
I enjoy working at the intersection of software engineering and AI — building reliable applications while continuously exploring how intelligent models can be integrated into real-world software systems.
Technologies I Work With
- ▹Next.js 14
- ▹React
- ▹Java
- ▹Spring Boot
- ▹Node.js / Express
- ▹MySQL · MongoDB
- ▹Python
- ▹Machine Learning
- ▹Neural Networks
- ▹LLM Fundamentals
02 — EXPERIENCE
Professional Experience
Associate Software Engineer @ SKYLLX Technologies
JUN 2026 — PRESENT (INTERN: JAN 2026 — JUN 2026) · ON-SITE · BENGALURU
- ▹Owned end-to-end development of the Fee Management module for a production School ERP platform — building Next.js 14 dashboards, payment processing forms, and administrative reporting views.
- ▹Integrated Next.js frontend clients with Java Spring Boot REST APIs and MySQL databases via Axios for fee transactions, payment tracking, and student record management.
- ▹Diagnosed and resolved critical production bugs reported by QA and end users on the live system, ensuring data accuracy, system stability, and smooth release deployments.
- ▹Extended administrative and student-facing UI modules on the production codebase while maintaining backward compatibility with existing multi-platform mobile applications.
03 — SKILLS
Technical Skills
LANGUAGES
FRONTEND
BACKEND
AI & MACHINE LEARNING
GENERATIVE AI / LLM
DATABASES
TOOLS & PLATFORMS
COMPUTER SCIENCE
04 — AI & LEARNING
Artificial Intelligence
My background in Robotics and Artificial Intelligence has given me a strong foundation in machine learning and deep learning. I am currently expanding this foundation into modern generative AI and Large Language Models.
Neural Networks & Deep Learning
- ▹Understanding of neural-network fundamentals including forward propagation, backpropagation, activation functions, loss functions, gradient-based learning, and model training.
- ▹Practical experience with CNN-based and CNN-LSTM deep learning architectures.
Transformers & LLMs
- ▹Understanding of the Transformer architecture and the role of self-attention in modern language models.
- ▹Studied tokenization, token embeddings, positional encoding, attention mechanisms, and layer normalization.
- ▹Building a strong conceptual foundation in Large Language Models and how they process and represent text.
05 — PROJECTS
Featured Projects
Hybrid CNN + Error Level Analysis (ELA) pipeline for automated image and video deepfake classification.
- ▹Image processing pipeline using ELA preprocessing & CNN architecture with 110K+ trainable parameters at 128×128 resolution
- ▹Video analysis pipeline using CNN-LSTM architecture with 126K+ trainable parameters and 128-unit LSTM across sampled frames
- ▹REST inference backend with model caching and endpoint integration connected to a React frontend
Food ordering Single Page Application (SPA) with Redux Toolkit cart state management and dynamic live REST API integration.
- ▹SPA built with React 19, React Router DOM 6, Parcel 2, Tailwind CSS v3, and live food delivery REST APIs
- ▹Redux Toolkit cartSlice with addItem, removeItem, and clearCart actions for predictable state & dynamic price calculations
- ▹Higher-Order Component (withNearestLabel), custom hooks (useRestaurantMenu, useOnlineStatus), and React.lazy() + Suspense code splitting
API-driven cinema discovery engine leveraging the TMDB REST API with custom React hooks, debounced fuzzy search, and multi-filter watchlist state.
- ▹Dynamic movie discovery with TMDB REST API integration, pagination, lazy loading, and skeleton screens
- ▹Modular reusable UI components with responsive card grid layouts
- ▹Real-time fuzzy search with debounced input and state persistence
06 — EDUCATION
Academic Background
Bangalore Institute of Technology
Bachelor of Engineering (B.E.) in Robotics and Artificial Intelligence
2022 — 2026
TIME PU College
Class XII — Science
2020 — 2022