MSc Computer Science · Autonomous Systems · Stuttgart

Systems that
perceive,
reason & act.

AI engineer and researcher working at the intersection of computer vision, robotics, and machine learning. Currently seeking Werkstudent roles in Stuttgart.

VIEW WORK Get in touch
01
5+ Projects
shipped & documented
02
4+ Internships
CV · NLP · Data Science
03
Universität Stuttgart
MSc Computer Science
04
Open to work
Stuttgart · Werkstudent
About

Driven by curiosity.
Grounded in code.

Avantika Ajit is an MSc Computer Science student at Universität Stuttgart, specialising in Autonomous Systems. Originally from India, she works at the intersection of machine learning, computer vision, and robotics — turning research ideas into systems that actually run.

A Sakura Science Scholar and former Vice President of her university's Data Analytics Club, she brings both technical depth and leadership to every team she joins.

Based in
Stuttgart, DE
Programme
MSc CS · Autonomous Systems
Languages
English · Hindi · Malayalam · German (A2)
Status
Seeking Werkstudent
Tech Stack
Languages
PythonRSQLC++HTML/CSS/JS
ML & AI
PyTorchTensorFlow/KerasScikit-learnXGBoostSHAPOpenCVNLTK/SpaCyLangChainMLflow
Robotics
ROS 2MoveIt 2MuJoCoSAC/RLtf2
Tools
GitDockerPowerBIFigmaLaTeXJupyter
Education

Where it all started.

From Delhi to Stuttgart — a path shaped by curiosity, competitive scholarships, and a deep interest in intelligent systems.

M.Sc. Computer Science — Autonomous Systems
Universität Stuttgart · Stuttgart, Germany
October 2025 – Present
  • Specialisation in autonomous systems, robotics, and machine learning.
  • Coursework: Data Warehousing, Data Mining & OLAP, Machine Perception & Learning, Mobile Robotics, Computer Vision, Reinforcement Learning.
RoboticsComputer VisionReinforcement Learning
B.Sc. (Honours) Computer Science
University of Delhi · New Delhi, India
November 2020 – July 2023 · 8.53 CGPA
  • 1st Position in Year 1; outstanding performance in Artificial Intelligence.
  • Sakura Science Scholar — competitive Japanese government STEM exchange programme.
  • Coursework: Machine Learning, AI, Data Mining, Data Visualisation, Linear Algebra.
8.53 CGPASakura Science Scholar1st Year Rank 1
Selected Work
2024
Face Recognition Attendance System
Real-time employee attendance system using face detection and recognition on live webcam feed. 3-state door-camera confirmation model with Laplacian variance liveness detection, 30-second cooldown, and 77 automated tests with GitHub Actions CI.
OpenCVDeep LearningSQLiteStreamlitCI/CD
GitHub
2026
Cognitive Load Classifier from Eye Movements
ML pipeline classifying cognitive load — working memory vs. visual attention — from eye-tracking signals. 75% accuracy under cross-subject evaluation using XGBoost, SVM, RF, and KNN with SHAP interpretability.
XGBoostSHAPEye-trackingScikit-learn
GitHub
2025
Price Recommendation for Online Sellers
Interactive ML web app recommending optimal product prices based on stock code, country, quantity, and season. Compared 4 regression models with animated price gauge, country × month heatmap, and 3D price surface via Plotly.
PythonScikit-learnPlotlyRegressionStreamlit
GitHub
2026
SpatialLM — 3D Scene Understanding
Reproduced SpatialLM on Kaggle (Tesla T4, CUDA 12.8). Critical analysis vs. OpenMask3D and a 4-page TVCG-format research paper for the VISUS seminar at Universität Stuttgart.
3D VisionLLMCUDAResearch
GitHub
2025
Robotic Arm RL — SAC on MuJoCo
Soft Actor-Critic agent on MuJoCo Reacher-v5 for continuous robotic control. Mean reward −3.33 with fully documented codebase.
MuJoCoSACReinforcement LearningPython
GitHub
Experience

Where she's worked and what she's built.

4+ internships spanning computer vision, NLP, data science, and software engineering.

Data Science Intern
Sep 2024 – Dec 2024
Zidio Development — New Delhi, India
  • Developed a face recognition-based attendance system using Computer Vision and deep learning, automating attendance tracking.
  • Implemented facial detection and recognition pipeline using OpenCV, achieving reliable real-time performance.
Data Science Intern
Jan 2024 – Feb 2024
Flazetech — New Delhi, India
  • Built and evaluated predictive ML models on 10,000+ record datasets, improving business decision-making by 25%.
  • Conducted end-to-end EDA including data cleaning, visualisation, and feature analysis.
Python Programming Intern
December 2023
CodSoft — New Delhi, India
  • Developed 3 Python-based software solutions, optimising processing efficiency by 20% and reducing development time by 30%.
AI Intern
November 2023
TopperWorld — New Delhi, India
  • Designed and deployed an NLP pipeline for automated information extraction, increasing screening efficiency by 30%.
Data Science Intern
Oct 2023 – Nov 2023
CodeClause — New Delhi, India
  • EDA on 50,000+ record datasets identifying trends driving 10% increase in operational efficiency.
  • Built predictive ML models achieving 20% improvement in forecast accuracy.
Peer Mentor
2025 – Present
Universität Stuttgart
  • Organises social and integration events for incoming international students, helping newcomers build community in Stuttgart.

Let's work
together.

Open to Werkstudent roles in AI, robotics, and software engineering in Stuttgart. Also happy to collaborate on research.

Emailavantika.aji22@gmail.com
LinkedInlinkedin.com/in/avantikaajit
GitHubgithub.com/av0422