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).

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Next.js 14Spring BootMySQLReactPython
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Production ERP
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Internship Experience

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
Ashik Gowda K — Full Stack Developer & AI Engineer

02 — EXPERIENCE

Professional Experience

Associate Software Engineer @ SKYLLX Technologies

JUN 2026 — PRESENT (INTERN: JAN 2026 — JUN 2026) · ON-SITE · BENGALURU

FULL-TIME
📁 School ERP — Fee Management
  • ▹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.
📁 LMS — Exam Module
  • ▹Architected and delivered the LMS Exam Module from scratch — designed the complete exam lifecycle (creation, assignment, attempt, result) and integrated it end-to-end with Spring Boot REST APIs.
  • ▹Implemented Caffeine-based in-memory caching on the exam service layer to eliminate redundant database reads and significantly accelerate API response times.
  • ▹Introduced interval-based write-batching to coalesce high-frequency exam attempt writes — buffering in-memory and flushing to the database on a scheduled interval, reducing DB write load.
Next.js 14Spring BootMySQLAxiosGitREST APICaffeine CacheLMS

03 — SKILLS

Technical Skills

LANGUAGES

JavaJavaScriptPythonSQLHTML5 / CSS3

FRONTEND

ReactNext.js 14Redux ToolkitTailwind CSSBootstrap

BACKEND

Spring BootNode.js / ExpressREST APIsAxios

DATABASES

MySQLMongoDB

TOOLS & PLATFORMS

GitGitHubPostman

COMPUTER SCIENCE

Data Structures & AlgorithmsObject-Oriented ProgrammingOperating SystemsSystem Design

AI & MACHINE LEARNING

Neural NetworksDeep LearningCNNCNN-LSTMMachine LearningTensorFlow

GENERATIVE AI / LLM

LLM FundamentalsTransformersTokenizationEmbeddingsSelf-AttentionPositional EncodingLayer Normalization

TECHNOLOGY ECOSYSTEM

  • React
  • Next.js 14
  • Spring Boot
  • Java
  • Python
  • MySQL
  • TensorFlow
  • Tailwind CSS
  • Git
  • JavaScript
  • Deep Learning
  • Node.js
  • MongoDB
  • Redux Toolkit
  • HTML5 / CSS3
  • Bootstrap
  • Transformers
  • Axios
  • GitHub
  • Postman
  • LLM Fundamentals
  • SQL
  • Machine Learning
  • REST APIs

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.

01

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.
Neural NetworksDeep LearningCNNCNN-LSTM
02

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.
TransformersAttentionEmbeddingsLLM Fundamentals

05 — PROJECTS

Featured Projects

DeepFake Detection

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
VIEW PROJECT
PythonReactCNN-LSTM / ELA

Quick Bite

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
VIEW PROJECT
React 19Redux ToolkitTailwind CSSParcel

Film Vault

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
VIEW PROJECT
ReactTMDB APICustom Hooks

06 — EDUCATION

Academic Background

Bangalore Institute of Technology

Bachelor of Engineering (B.E.) in Robotics and Artificial Intelligence

2022 — 2026

0CGPA

TIME PU College

Class XII — Science

2020 — 2022

0%PERCENTAGE