Hi, I'm
Aloke K Issac
AI Engineer & Full Stack Developer
I build intelligent systems, interactive products, and software that turns complex ideas into useful experiences.
- Graduated
- MSc Artificial Intelligence
- Dublin Business School
- Focus
- RAG · Machine Learning
- Full-stack products
- Based in
- Dublin, Ireland
- Open to opportunities
01About
About Aloke
I'm a full stack developer moving deeper into artificial intelligence — building systems that are useful, understandable and dependable.
I hold a Bachelor of Computer Applications (BCA) and an MSc in Artificial Intelligence from Dublin Business School.
My background is in software development: I've built web applications end to end, from data models and APIs to the interfaces people actually touch. Today I focus on machine learning, retrieval-augmented generation and automation — and on the engineering that makes them hold up outside a notebook.
06
Featured projects
25
Technologies in use
05
Focus areas
- Graduated
- MSc Artificial IntelligenceDublin Business School
- Undergraduate
- BCAGirideepam Institute of Advanced Learning
- Based in
- Dublin, IrelandOpen to opportunities
02Skills
A connected toolkit
Languages
Python
Primary language for ML, data work and Flask/FastAPI services.
03Selected work
Things I've built
AI systems and full-stack products. Open any project for the problem, architecture and approach behind it.
04Process
How I build
01 / 07
Idea
“What problem, for whom — and how will we know it worked?”
Start from the user and the problem, not the technology. Define what success looks like before writing any code.
- Problem statement
- Success criteria
- Scope
02 / 07
Architecture
“What are the moving parts, and where can they fail?”
Sketch components, data flow and boundaries. Choose the simplest design that meets the requirements and leaves room to change.
- System diagram
- Interfaces
- Trade-offs
03 / 07
Data
“Where does the data come from, and can it be trusted?”
Understand sources, quality and privacy. Clean and version the data, and set aside evaluation sets before any modelling starts.
- Schema
- Cleaning steps
- Evaluation set
04 / 07
AI / Logic
“Does a model beat a simple baseline?”
Begin with rules or a simple baseline, then add ML or LLM components only where they measurably improve the outcome.
- Baseline
- Model / prompts
- Metrics
05 / 07
API
“How do other parts of the system talk to it?”
Wrap the logic in a small, typed, validated API with clear errors — so the interface, tests and other services can rely on it.
- Endpoints
- Validation
- Error handling
06 / 07
Interface
“Is it fast, accessible and honest about its state?”
Design the experience around real use: loading, empty and error states, keyboard access, and feedback people can understand.
- UI components
- States
- Accessibility
07 / 07
Deployment
“Can it run reliably somewhere other than my laptop?”
Containerise, automate builds and configuration, keep secrets out of code, and watch how it behaves once people use it.
- Container
- CI / config
- Monitoring
05Experience
Where I've worked
- Work
Machine Learning Intern
Corizo (IIT Bombay Mood Indigo)
Jul 2026 — Sep 2026 · Remote
Remote machine learning internship focused on applying the end-to-end ML workflow to guided project work.
- Prepared and explored datasets, then trained and evaluated supervised learning models in Python.
- Work
Full-Stack Developer Intern
Rizz Technologies
Dec 2024 — Jun 2025 · India
Owned the backend, recommendation model and database of an AI-powered tour-planning platform end to end, in a small team without senior engineers.
- Built booking flows, an AI chatbot and role-based access for admins, tour providers and customers on a Python, Flask and SQL stack.
- Replaced static listings with a machine learning recommendation engine that suggests trips from each user's history.
- Resolved integration issues so the chatbot, translation layer and database shared one consistent user record.
- Worked in a build, test and review loop with nightly builds, adapting to changing requirements and turning early-user feedback into fixes.
- Work
Flutter Developer Intern
SoftLoom IT Solutions
Feb 2024 — Aug 2024 · India
Built a working Android app prototype in Flutter and Dart independently, from project setup to a finished, device-tested app.
- Developed the login flow, navigation drawer and bottom navigation bar using Material Design widgets.
- Learned Flutter's stateless and stateful widget model by building, testing on device and refining real layouts in Android Studio.
- Reworked layouts and navigation after on-device testing, keeping notes that became the app's working documentation.
06Education
What I've studied
- Education
MSc in Artificial Intelligence (Computer Science)
Dublin Business School
2026 · Dublin, Ireland
Postgraduate study covering machine learning and predictive modelling, deep learning, NLP, reinforcement learning, generative and agentic AI, and retrieval-augmented generation.
- MSc project: built a full-stack landfill waste forecasting platform, from raw records to a deployed web app.
- Normalised raw waste records into indexed SQL tables and served them through a Flask REST API.
- Trained and compared five model families on a held-out validation set before choosing one for deployment.
- Added request-latency and error monitoring, and traced post-launch defects across the frontend, API and database.
- Education
Bachelor of Computer Applications (BCA)
Girideepam Institute of Advanced Learning
2025 · Kottayam, Kerala, India
Undergraduate degree covering data structures and algorithms, object-oriented programming, database management and SQL, web and Android development, cloud computing, and AI and machine learning fundamentals.
07Code
Building in public.
Contribution activity
Updated daily
Languages
- Jupyter Notebook22%
- Python22%
- HTML22%
- Java11%
- CSS11%
- JavaScript11%
Share of public repositories by primary language.
12 public repositories