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.

2026 — Present
AI & Data Science Engineering Intern · TÜV AUSTRIA Belgium
Architecting data solutions, machine learning workflows, feature engineering, data pipelines, and collaborating on scalable analytics solutions.
🏢
2024 — 2025
Freelance Data Analytics & Optimization Consultant
Analyzed 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.

University KU Leuven
Degree Electronics-ICT Engineering.
Location Belgium 🇧🇪
Focus areas AI · Cloud Engineering · Data Science·Machine Learning
Status Open to opportunities
5+
Projects
7
Technologies
92%
ML accuracy
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 Pi Python MPU6050 Machine Learning IoT GPS
🛡️
02 — Data Science
Customer Churn Prediction
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% accuracy Pandas Scikit-learn Random Forest
📊
03 — Full-Stack
AQUAVANQ Payroll Management
Python-SQL payroll system developed for AISSCE 2023. Manages employee records, computes salaries, and generates reports. GUI built with Tkinter; backend operations integrated via Python-MySQL connector. Served as system architect and lead programmer across all modules.
Python Lead Programmer MySQL Tkinter
💼
04 — Application
Alpha Tours & Travels System
Python based management application for booking, managing, and tracking travel arrangements. One of my earliest team projects as Lead Programmer. Gained hands-on experience in file handling, exception management, modular code writing, form validation, and data persistence.
Python Team Lead File I/O Form Validation
🧳
05 — Machine Learning
Titanic Survival Analysis
End-to-end supervised learning pipeline with EDA, feature engineering, imputation and model evaluation.
PythonPandasScikit-learn
🚢
06 — Cloud
Cloud Native Task Tracker API
FastAPI + MongoDB REST API containerized with Docker Compose and automated with GitHub Actions CI/CD.
FastAPIMongoDBDockerGitHub Actions
☁️
07 — Mobile
Airbag Safety Android Application
Android app using Java/Kotlin with Retrofit backend integration and ~150 ms fall detection.
AndroidJavaKotlinMySQL
📱
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
→
💼
LinkedIn
kanishk-krishnamurthy
→
🐙
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 →