Rahul Roy
Open to a 6-month internship
Scientific Instrumentation master's student in Jena, connecting software development, measurement and applied machine learning.
01 / Selected work
Personal and academic projects. Each description separates what was built from what was simulated.
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Personal project / Al Madar
A personal software project exploring document processing and quotation workflows for aluminium fabrication. Developed a computer-vision and OCR pipeline using a Roboflow-sourced dataset. This is portfolio work, not employment or a claim of industrial deployment.
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Academic simulation / IEEE SPICES 2022
Investigated how the choice of state space affects Q-learning for battery scheduling in a microgrid. Academic simulation work, not an industrial deployment. See the linked publication for the methodology and results.
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Personal full-stack project
A personal PHP/MySQL website project for presenting business information and managing content. The project brings together a public-facing interface and an administration workflow. Listed as personal development work, not a current job.
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Academic design project
Academic micromanipulator design work connecting mechanical design with scientific instrumentation. A CAD-based project, presented separately from software development and machine-learning work.
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Academic project / EAH Jena / 2025
Academic study using ANSYS Workbench 2024 R2 Static Structural to evaluate a mechanical assembly under a 100 µm input displacement. The report covers rigid-link simplification, remote-displacement boundary conditions, mesh convergence, output displacement and input stiffness, with comparison against geometric hand calculations. The selected mesh contained 82,556 nodes and 17,856 elements. Results are from simulation, not physical testing.
Research / IEEE SPICES 2022
Academic research investigating the choice of state space for Q-learning-based battery scheduling in a microgrid. Published in the 2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), pp. 290–295. Simulation results should be interpreted within the assumptions and baseline described in the paper.
Read the publication ↗02 / About
I am pursuing an M.Sc. in Scientific Instrumentation at Ernst-Abbe-Hochschule Jena after completing a B.Tech in Electrical and Electronics Engineering. Two years of software development at TCS taught me to translate requirements into working applications. My academic interests now bring that experience closer to measurement, data and applied AI.
Skills used in software, research and laboratory work.
03 / Experience & education
Planned start: 1 November 2026
Fraunhofer IPK
Berlin, Germany
Accepted an upcoming mandatory internship focused on a camera-guided robotic crop-harvesting system. Planned work includes computer vision, model training and testing, camera and robot-state data, and improving cutting precision. Contract and onboarding are being finalized.
Oct 2021–Dec 2023
Tata Consultancy Services
Kochi, India
Developed web and backend functionality using PHP, Drupal, JavaScript, HTML and SQL. Worked on Zoom API integration, translated client requirements into technical specifications, and contributed to testing and documentation.
Oct 2024–Present
Ernst-Abbe-Hochschule Jena (EAH Jena)
Jena, Germany
Scientific instrumentation, measurement and data analysis.
Aug 2017–Jun 2021
TKM College of Engineering
Kollam, Kerala, India
Electrical and electronics engineering.
Academic project: Q-learning for battery scheduling in a microgrid.
04 / Continued learning
Selected courses that support my work in software, instrumentation and energy.
deeplearning.ai
A course covering foundational neural-network and deep-learning concepts, included as part of my continued learning in applied machine learning.
deeplearning.ai
A course on training, tuning and improving deep neural networks, included as continued learning in applied machine learning.
deeplearning.ai
A course series covering core supervised and unsupervised machine-learning concepts.
Univ. of Michigan · Coursera
A course series focused on Python programming foundations.
Google · Coursera
A course covering the fundamentals of computer networking.
Google · Coursera
A course focused on Python programming fundamentals. Included here as part of my continued learning in software development.
Google Cloud · Coursera
A course on industrial IoT concepts in the Google Cloud Platform context. Included as continued learning related to connected devices and data.
A course focused on Drupal 9 development concepts.
A course providing an overview of non-conventional energy resources.
SUNY · Coursera
A course covering the fundamentals of solar energy. Included as continued learning alongside my electrical engineering background.
IIT Delhi · NPTEL
Electric Vehicles · IIT Delhi · NPTEL.
IIT Kharagpur · NPTEL
Introduction to IoT · IIT Kharagpur · NPTEL.
Fundamentals of Digital Marketing · Google.
University of California San Diego
IoT: How did we get here? · University of California San Diego.
University at Buffalo
Energy Production, Distribution & Safety · University at Buffalo.
University of Michigan
Programming for Everybody · University of Michigan.
University of Michigan
Python Data Structures · University of Michigan.
University of Michigan
Introduction to Data Science in Python · University of Michigan.
MathWorks
Exploratory Data Analysis with MATLAB · MathWorks.
MathWorks
Data Processing & Feature Engineering with MATLAB · MathWorks.
Macquarie University
Excel Skills for Business · Macquarie University.
Imperial College London
Mathematics for Machine Learning · Imperial College London.
05 / Get in touch
Looking for an intern in instrumentation, applied AI or technical software? I would be glad to discuss where my background could help your team.
rahulroyg26@gmail.com ↗
