PORTFOLIO // 2026
MITESH KUMAR
DATA SCIENTIST & ML ENGINEER
Specializing in Mathematical Optimization, Computer Vision, and Deep Learning. I architect robust AI pipelines and solve complex network systems at scale.
Experience
Student Research Assistant
University of Regensburg
Machine Learning for Side-Channel Analysis. Reviewing deep learning-based side-channel attacks and investigating robustness of neural-network-based attacks under realistic measurement conditions.
Student Research Assistant
FAU Erlangen-Nürnberg
Transregio 154: Engineered a bicriteria optimization model in Pyomo for gas networks. Scaled numerical experiments across HPC clusters using Slurm job arrays.
Featured Work
Autonomous Siting Agent (Invertix Challenge)
Built an AI agent in 24 hours that evaluates optimal European data center locations. It cross-references plain English requirements with live data from Ember, IEA, PyPSA-Eur, and OpenStreetMap to solve complex constraints around cost, clean energy, and grid capacity.
Open-Set Face Recognition & Robust Tracking
Built a robust face recognition pipeline achieving 90% accuracy in open-set identification. Optimized efficiency with dynamic K-Means clustering and dual-stream FaceNet (ResNet50) for 128-dimensional embeddings.
Integrated MTCNN for detection with Template Matching fallback tracker for identity continuity during occlusions.
Hierarchical Object Detection
Engineered an object detection pipeline integrating multi-scale Selective Search, ResNet18 CNN, and Linear SVM. Achieved MABO of 0.74 via NMS.
Computational Imaging
Synthesized HDR images by reverse-engineering camera response functions and Bayer demosaicing.
3D Scene Perception
Extracted 3D dimensions from noisy ToF sensor data using MLESAC plane-fitting.