KU Leuven · Belgium · Electronics-ICT Engineering

Engineering
the future,
intelligently.

I'm Kanishk , I build AI systems, data engineering,cloud engineering and hardware software bridges that solve real problems with precision and elegance.

See my work GitHub ↗
Experience

Professional experience.

Mar 2026 — Sep 2026
AI & Data Science Engineering Intern · TÜV AUSTRIA Belgium
Designed data solutions, implemented machine learning workflows involving feature engineering, data pipelines, and collaborating on scalable analytics solutions.
TÜV
Oct 2024 — Feb 2025
Freelance Data Analytics & Optimisation Consultant
Analysed engagement data, optimized content strategy, gained 300+ subscribers and improved short form performance by 60% through data driven analysis.
About me

Curiosity is my
operating system.

I'm Kanishk Krishnamurthy, an Electronics-ICT Engineering student at KU Leuven, based in Belgium. I thrive at the intersection of engineering, innovation, and data driven decision making.

My technical journey began with C programming, which gave me a strong logical foundation. Over time I expanded into Python for data science and AI, Java for application development, SQL for database management, and full stack web technologies.

My strengths lie in clear communication, fast learning, and a strong sense of responsibility. My goal is to evolve as a technologist and eventually lead in tech driven industries.

UniversityKU Leuven
DegreeElectronics-ICT Engineering.
LocationBelgium
Focus areasAI · Cloud Engineering · Data Science·Machine Learning
StatusOpen to opportunities
30+
Projects
Technical expertise

A full stack of skills
built from the ground up.

C Programming
Solid foundation in structured programming, memory management, and embedded logic. My first language and still shapes how I think.
Systems
Python
Primary language for data science, automation, and AI. Experienced with Pandas, NumPy, Scikit-learn, and PyTorch for real world applications.
Data · AI · ML
SQL / MySQL
Proficient in complex queries, relational database design, optimisation, and managing analytical and transactional data systems.
Databases
Java
Strong grasp of OOP principles, backend architecture, and application development with clean, modular, scalable code.
Backend
HTML · CSS · JS
Crafting responsive, interactive web interfaces. Transforming ideas into polished user experiences with modern frontend techniques.
Frontend
Machine Learning
Classification, regression, and clustering algorithms applied to real-world datasets. Churn prediction, IoT integrated ML systems.
Scikit-learn · PyTorch
Artificial Intelligence
Practical AI in NLP, signal processing, and sensor based systems. Creating human aware intelligent solutions with real impact.
AI Systems
Cloud & DevOps
Azure, Docker, Docker Compose, GitHub Actions, CI/CD pipelines and REST APIs.
Cloud
FastAPI & APIs
Building REST APIs with FastAPI, Retrofit integration and backend services.
Backend
MongoDB
Experience with MongoDB alongside MySQL for modern applications.
Database
Certifications
AZ-900, AWS Data Analytics, DeepLearning.AI ML, Imperial M4ML, Duke Java OOP.
Certified
Selected work

Projects I'm proud of.

01 — IoT + AI
Smart Airbag Helmet
A safety wearable integrating an MPU6050 sensor with Raspberry Pi and a trained ML model to verify fall scenarios using accelerometer and audio data. Sends emergency alerts via email with live GPS coordinates to designated contacts. Combines sensor interfacing, real time data processing, and cloud integrated emergency response.
Raspberry PiPythonMPU6050Machine LearningIoTGPS
01
02 — Data Science
Customer Churn Prediction for Supermarket
Predictive analytics pipeline for a telecom provider to identify at risk customers. Data cleaned, analyzed, and feature-engineered across multiple classification models. Random Forest Classifier achieved ~92% accuracy improving understanding of customer lifecycle, data visualization, and precision-based targeting.
Python~92% accuracyPandasScikit-learnRandom Forest
02
03 — Cloud
Cloud Native Gantt Chart
FastAPI + MongoDB REST API containerized with Docker Compose and automated with GitHub Actions CI/CD.
FastAPIMongoDBDockerGitHub Actions
03
04 — ML+Java+AzureML
ManageIT ERP Application
Built a full-stack Android ERP application with role-based group management, real-time MySQL services, and Azure ML-powered cost prediction using Java, Spring Boot, and REST APIs.
JavaAzureAIML
04
Get in touch

Let's build something
brilliant together.

Let's connect and build something brilliant or at least coffeeworthy. I'm open to internships, collaborations, research opportunities, and exciting engineering challenges.

@
Email
kanishk.academic@gmail.com
→
in
LinkedIn
kanishk-krishnamurthy
→
gh
GitHub
VanquisherCodes
→
Currently available
Internships.
Collaborations.
Great ideas.
Based in Belgium, open to remote and on site opportunities across Europe and beyond.
Send a message