Mechanical Engineering · KITKarlsruhe, Germany

I work where machines
learn to perceive.

I’m Samkit Parak, a mechanical engineering student connecting robotics, autonomous systems and computer vision with the real constraints of manufacturing.

Current focus

Fourth-semester B.Sc. Mechanical Engineering (International) at Karlsruhe Institute of Technology.

Developing in KA-RaceIng’s autonomous systems environment, with a growing focus on SLAM, localisation and vehicle perception.

Bringing recent robotic inspection experience into the next role in robotics, automation or industrial AI.

Selected work

Systems, not demos.

Work shaped by coordinates, sensors, moving hardware and the operational question behind the technology.

01Robotics · Vision · Research

Autonomous Robotic Surface Inspection

An end-to-end inspection workflow that gave a UR5e the ability to locate a work area, position an RGB-D camera, detect surface defects, and turn visual evidence into physical measurements.

ROS 2UR5eRealSense D435iTF2
Read the case study
UR collaborative robot and camera inspection rig in the wbk laboratory
UR robot and vision setup in the wbk laboratory.Project archive
02SLAM · Localisation · Vehicle Intelligence

Formula Student Autonomous Systems

Ongoing work inside KA-RaceIng’s driverless environment, studying how perception, mapping and localisation become dependable vehicle behaviour under real-time constraints.

ROS 2SLAMSensor fusionState estimation
Read the case study
KA-RaceIng KIT24 Formula Student car driving through a cone course
KIT24 on track during a Formula Student run.KA-RaceIng e.V.
03Industrial AI · Production Systems · Full-stack Engineering

HIVE OS — Industrial Operations Intelligence

A manufacturing operations system I built for HAEEV, a custom woodworking factory in India—connecting machine evidence, production flow and governed decision support in one deployable platform.

Python 3.12FastAPIReactMQTT
Read the case study
HIVE OS production dashboard showing factory telemetry confidence, loss accounting, flow, autonomy and value assurance
The HIVE OS operations dashboard during factory commissioning, with evidence readiness visible alongside production decisions.View source on GitHub
04Earlier work · Hands-on engineering

Experimental Model Rocketry

A formative project in designing, building and testing model rockets—an early lesson in learning by making, measuring and revising physical systems.

AerodynamicsStructural reasoningCADTesting
Read the case study
Model rocket lifting off from a launch pad in an open field
Model rocket at ignition and liftoff.Project archive

Experience

Learning across the stack.

From product design and data pipelines to robots that reason about the physical world.

01

Jan 2026 — now

Autonomous Systems · KA-RaceIng

Formula Student Driverless · Karlsruhe

Working in the autonomous systems environment around SLAM, perception, localisation and the way real-time software connects to vehicle behaviour. The role is evolving as I build deeper system context.

02

Apr 2025 — Jul 2026

Student Assistant · wbk Institute for Production Science

SFB 1574, Project B01 · KIT

Developed an autonomous robotic inspection workflow around a UR5e and an end-effector-mounted RGB-D camera. My focus spanned ROS 2 integration, TF2 geometry, object detection, depth analysis and system-level debugging. The role concluded when the project’s available budget ended.

03

May — Aug 2023

Research Intern · K-Lite Industries

Product design · Chennai

Designed lighting fixture components in Fusion 360 and PTC Creo, worked with design-for-manufacturing constraints, and supported thermal analysis, prototyping and quality testing.

04

Jun — Dec 2022

Data Engineering Intern · Minfy Technologies

Python and data systems · Hyderabad

Built Python workflows for processing and validating cloud datasets. The experience gave me an early understanding of how small data-quality problems compound inside larger systems.

Capabilities

Tools in context.

No proficiency meters—just the technologies I’ve used and the engineering context that gives them meaning.

01

Robotics & autonomy

Applied through robotic inspection and autonomous racing.

  • ROS 2
  • TF2
  • SLAM
  • MoveIt 2
  • Sensor integration
  • UR5e
  • Motion planning
  • Robot perception
02

Computer vision & AI

Used to connect images and depth data to physical decisions.

  • YOLOv8
  • OpenCV
  • RGB-D perception
  • Object detection
  • Depth sensing
  • Model training
  • Dataset labelling
  • PyTorch
03

Programming & integration

The practical layer that holds multidisciplinary systems together.

  • Python
  • C++
  • Git
  • Linux
  • REST APIs
  • MQTT
  • URDF / Xacro
  • Testing & debugging
04

Mechanical & production

Grounding software decisions in the realities of machines and factories.

  • Manufacturing systems
  • Production science
  • Industrial automation
  • CAD & DFM
  • Industry 4.0
  • Digital twins
  • MES concepts
  • OEE concepts

The bigger picture

Useful intelligence
for the factory floor.

Long term, I want to help small and medium-sized manufacturers in India adopt industrial AI, computer vision and automation that solve concrete production problems.

That direction comes from real manufacturing context. My family’s experience spans woodworking and lighting production, with CNC machinery, a Siemens S7-controlled press and an industrial finishing line. It made the gap between impressive technology and usable technology impossible to ignore.

I’m interested in quality inspection, machine monitoring, traceability, predictive maintenance and production visibility—not because the vocabulary is fashionable, but because these systems can make smaller factories more capable, efficient and resilient.

Working principleStart with the production problem. Earn the complexity.

Community & leadership

Technology should widen access.

Since 2022

ThinkSTEAM Foundation

Co-founder

We worked with NGO partners, volunteers and schools to expand access to hands-on STEAM learning in rural communities—through mentoring, educational kits and laptops.

800+students reached
30government schools
Hack4Earth

48 hours for practical sustainability ideas.

Co-founded and led a global student hackathon that brought together more than 1,000 participants across two editions.

A consistent thread

Engineering, education and responsible impact.

I’m interested in how technical ambition can coexist with sustainability, non-violence and responsible consumption.

About

Between two contexts.

Samkit Parak in Karlsruhe
Karlsruhe, Germany

Moving from India to Germany changed more than my location. It taught me to listen closely, ask better questions and get comfortable being new at something.

I’m learning German while studying and working in Karlsruhe. Outside engineering, I value long stretches of focused work, vegetarian food, the occasional chance to surf, and conversations that connect technical detail to a larger purpose.

The common thread is practical curiosity: understanding how machines, people and systems fit together—and building things whose value is visible in the real world.