
Hi,
I'm Natasha
an AI/ML Engineer
London, UK | (+44) 7380981449
I specialize in AI/ML engineering for applications such as fraud detection, chatbot, personalized recommendations, graph modeling, and geospatial intelligence. I also develop landing pages and user-facing tools that integrate seamlessly with AI systems. I'm an MSc student in Applied Computational Science & Engineering at Imperial College London,
starting late September 2025.
I am currently exploring part-time AI roles in London or remote worldwide that align with my research interests
to contribute to my thesis and fulfill the required research project in my curriculum.
My skill set includes Python, SQL, and cloud deployment. I've built scalable AI solutions end-to-end,
from model development and deployment to dashboard visualization, and also worked with hosted LLMs in production environments.
I combine data-driven insights, automation, and scalable deployment for AI/ML applications. Here's what I did in my previous roles:
or read below for a summary of my expertise and the types of services I've delivered before:
1st Winner Best Paper: AI & Tech ACFE Call for Papers 2024 Semifinalist AI Hackathon Bank Indonesia - FEKDI 2024 Top 10 Scientific Paper Physics Fair Padjadjaran University Top 10 Scientific Paper Economic Finance Study Club Diponegoro University
PUBLISHED:
AML and Data Governance: Risk-Based Mentoring Program for
Crimes of Money Laundering and Terrorism Financing in Human Trafficking
and Financial Technology Crimes - PPATK (Indonesian Financial Transaction Reports and Analysis Centre) Data Science:
Certificate of Competencies -
Kalbe Nutritionals Internship Program (Kalbe is a leading pharmaceutical and consumer health brand in Indonesia) Full-Stack Development:
Certificate of Competencies - BTPN Syariah Internship Program
(BTPN is a leading Indonesian bank offering digital and traditional banking services) CS50 AI - Harvard Online Google Cloud ML Engineer - Google AI on Azure - Microsoft The Full Stack - Meta Python for Data Science - IBM SQL for Data Science - UC Davis Data Science & Website Development - MySkill x Deloitte
📩 Email: kristynatasha011@gmail.com
Outside of work, I enjoy hands-on projects involving IoT (Arduino, Raspberry Pi), 3D printing, and CAD design. In my free time, I unwind through wall climbing and archery.
1. AI/ML Development & Data Automation
〽︎︎︎︎ Predictive Analytics
NLP & AI Chatbots
⚠ Fraud & Anomaly Detection
Computer Vision & OCR
♻ Data Extraction & Web Scraping
2. Dashboards & Landing Pages
Interactive Dashboards & Data Visualization
✦ AI-Integrated Web Apps
✒ Branded Landing Pages
More about me! Take a look at my achievements from professional experience & academic studies:
✦︎ Fraud syndicates within digital ecosystem: Graphnetwork and transaction analysis approach. (2025). Asia-Pacific Fraud Journal, 10(1), June 2025.
https://doi.org/10.21532/apfjournal.v10i1.381
✦︎ Propagation characteristics of Madden Julian Oscillation in the Indonesian Maritime Continent: Case studies for 2020-2022. (2023). Agromet Journal, 38(1), 1-12.
https://doi.org/10.29244/j.agromet.38.1.1-12
PREPRINT / UNDER REVIEW:
An Elementary Approach to Predicting Indonesian Monsoon Index: Combining Ann-Arima Hybrid Method and Practical Use
Why Work With Me?
Let's work together.
🐈⬛ Github: github.com/natgluons
💬 WhatsApp: (+44) 7380-981449
WORK EXPERIENCE
Education
IMPERIAL COLLEGE LONDON
MSc in Applied Computational Science and Engineering
~ Ranked #2 in the World (QS World University Rankings 2025 & 2026), awarded the fully funded LPDP ScholarshipUNIVERSITY OF INDONESIA
Postgraduate Studies in Environmental Science
(Energy & Sustainability)
~ Ranked #1 in Indonesia (THE 2024-2026 & QS WUR 2023-2025)BANDUNG INSTITUTE OF TECHNOLOGY
BSc in Earth Science and Technology
(Meteorology & Geospatial Data Science)
~ Top #1 for Engineering & Technology in Indonesia (QS WUR 2023 & 2025)
TECH STACKS | |
---|---|
Programming Languages: | Python, C++, Javascript |
Libraries/Tools: | ML (Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, OpenCV) |
NLP (NLTK, HuggingFace, spaCy) | |
Visualization (Matplotlib, Seaborn, Pandas, NumPy, Plotly) | |
Graph Networks (NetworkX, RGCNconv, HGTconv) | |
Generative AI (GPT-4, Llama, Stable Diffusion/SDXL) | |
LLM Framework (OpenAI, LangChain), Vertex AI, RAG (Retrieval-Augmented Generation) | |
Databases: | PostgreSQL, BigQuery, MySQL, DBMS (DBeaver) |
Development: | Code Editor (VS Code, Google Colab), Version Control (Git), Frontend Frameworks (Vue.js, React.js), Backend Frameworks (Flask, FastAPI, Django) |
Deployment: | Compute Engine VM, Cloud Functions, Docker, Kubernetes |