Ing. Rajat Sanyal

is available. ✅

Selbstständig, AI Safety & Synthetic Data Validation (Stealth) — Founder / Principal Architect, Private
Munich, Deutschland

Fähigkeiten und Kenntnisse

Advanced Driver Assistance System (ADAS)
Image Processing
Computer Vision
Structure from Motion (SfM)
Simultaneous Localization & Mapping (SLAM)
Pattern Recognition
Machine Learning
MatLab
Applied Mathematics
Digital-Imaging
Deep Learning
C/C++
CUDA
Software Development
Synthetic data validation
AI safety for regulated systems
Management
Project Management
Diffusion Models
Graph Neural Networks (GNNs)
Reinforcement Learning
Geometric Deep Learning
Topological Data Analysis
Differential Geometry
Topology
Python
PyTorch
TensorFlow
Functional safety
Multi-Sensor Fusion
ADAS
Advanced Driver-Assistance System (ADAS)
EuroNCAP
FMVSS
NHTSA
Radar technology
lidar
Structure from Motion
SLAM
technical leadership
Leadership
innovative
Entrepreneurship
International experience
Intercultural competence
Analytical skills
Graph Neural Networks
GNNs

Werdegang

Berufserfahrung von Rajat Sanyal

  • Bis heute 10 Monate, seit Juni 2025

    Founder / Principal Architect

    AI Safety & Synthetic Data Validation (Stealth)

    Software pipeline for detection and mitigation of non-adversarial diffusion artifacts in synthetic visual data obtained from GenAI models. Designing scalable diffusion artifact detection and correction architecture. Aligning solution with emerging European AI regulatory frameworks (EU AI Act). Addressing generative AI risks in safety-critical domains.: automotive, industrial automation/robotics and medical imaging where robust performance in worst case scenario is the only thing which matters.

  • Bis heute 10 Monate, seit Juni 2025

    AI Safety & Synthetic Data Validation (Stealth) — Founder / Principal Architect

    Private

    Software pipeline for detection and mitigation of non-adversarial diffusion artifacts in synthetic images and videos obtained from GenAI models. Designing scalable artifact detection and correction architecture. Aligning solution with emerging European AI regulatory frameworks (EU AI Act). Addressing generative AI risks in safety-critical domains.: automotive, industrial automation/robotics and medical imaging where robust performance in worst case scenario is the only thing which matters.

  • 10 Monate, März 2018 - Dez. 2018

    Business Pursuit Engineer — LiDAR

    Aptiv Services / Delphi Deutschland GmbH

    • Led technical customer engagement for global engineering customer RFQs. • Designed multi-sensor solutions aligned with customer specifications. • Supported competitive bids with deep architectural analysis.

  • 2 Jahre und 9 Monate, Juni 2015 - Feb. 2018

    Senior Computer Vision Engineer - SfM expert

    Delphi Deutschland GmbH

    Design and Development of software for Camera based ADAS (Advanced Driver Assistance Systems).

  • 6 Monate, Nov. 2014 - Apr. 2015

    Lead Software Engineer

    Trim3ension

    Design and Development of software for generating 3D models from images.

  • 2 Jahre und 5 Monate, Juni 2012 - Okt. 2014

    Lead Engineer

    Tektronix

    • Extensive research and analysis of various approaches for solving problems. • Implementation of methodology outlined in the design document using C/C++/ Matlab. • Leading and mentoring individuals to maximize levels of productivity while forming cohesive team environments

  • 1 Jahr und 6 Monate, Jan. 2011 - Juni 2012

    Project Lead

    Tata Elxsi (JLR)

    Designed and development of algorithms for Advanced Driver Assistance System (Pedestrian Detection, Lane Departure Warning, Traffic Sign Recognition.), 3D Reconstruction from uncalibrated Images, Dynamic Real Time User Load Prediction across multiple cell phone towers, detection of Fatigue Stress Induced Cracks using Pattern Recognition, Machine Learning and Predictive Analytic techniques

  • 1 Jahr und 6 Monate, Juli 2009 - Dez. 2010

    Entrepreneurial Venture

    Freelancer

  • 2 Jahre und 7 Monate, Jan. 2007 - Juli 2009

    Engineer

    Hughes Systique Corporation

  • 3 Jahre und 4 Monate, Juni 2003 - Sep. 2006

    Research Engineer

    Indian Institute of Technology

Ausbildung von Rajat Sanyal

  • 1999 - 2003

    Computer Science

    University of Delhi

    Computer Science

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Grundlagen

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