Akash Yadav

Hello, I am Akash

Software Engineer specialized in C# / .NET, IoT, and Automation.
Building intelligent integrated systems.

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Technical Arsenal

C#
.NET Core
Python
Azure
Docker
PostgreSQL
TensorFlow
Git

Professional Journey

Software Engineer | Intelligent Transportation

Peter Berghaus GmbH
03/2025 - Present
  • Architected high-performance distributed telemetry systems using the latest .NET 8/9 ecosystem, enabling real-time visualization of industrial sensor data.
  • Pioneered AI-driven legacy code modernization, significantly reducing technical debt and accelerating testing cycles.

C#/.NET Software Developer

Capgemini Engineering
02/2021 - 02/2025
  • Engineered critical WPF applications for Volkswagen's vehicle development ecosystem, streamlining complex engineering workflows.
  • Automated 3D modeling processes via CATIA API, driving significant efficiency gains in vehicle design.
  • delivered robust, production-grade solutions within a rigorous Agile/TDD framework.

Research Assistant (Master's Thesis)

WiCoN (TU Kaiserslautern)
04/2019 - 01/2021
  • Spearheaded the development of autonomous drone systems for precision landscape analysis.
  • Deployed advanced Deep Learning models (TensorFlow) for semantic segmentation of aerial imagery, achieving high-accuracy environmental mapping.

Intern (ADAS Test Automation)

Robert Bosch GmbH
11/2018 - 03/2019
  • Optimized next-gen ADAS technologies by developing automated synchronization frameworks for Radar & Camera sensor fusion.
  • Enhanced sensor detection capabilities through advanced Image and Signal Processing algorithms.

Academic Projects

Semantic Segmentation

Deep Learning Semantic Segmentation

TensorFlow Lite CV Embedded

Traffic scene segmentation using CNNs compressed for embedded devices (91% size reduction).

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3D Scene Flow

Scene Flow Estimation Survey

Scene Flow Optimization

Comprehensive study of variational methods for scene flow estimation and energy formulations.

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Robot Sim

Autonomous Road Roller Control

ROS C++ Robotics

Trajectory tracking and behavior-based control strategies for precise maneuvering.

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Multi-Robot Formation

Multi-Robot Formation Control

Multi-Robot Graph Theory MATLAB

Decentralized formation control using graph theory and consensus algorithms to coordinate robots.

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