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M.Sc. in Electrical Engineering (Specialization - Smart Systems)

• Faculty-5 of Computer Science, Electrical Engineering and Information Technology
• Master Thesis
  • RobotDog Training for Indoor Navigation via Human-Robot Collaboration and Integrated AI
• Research Thesis
  • A Framework for Cardiac MRI Feature Extraction And Visualization - Evaluation in NAKO and UK Biobank
• Courses
  • Deep Learning (DL)
  • Advanced Mathematics for Signal and Information Processing (AM)
  • Software Engineering in Real-time Systems (SERTS)
  • Industrial Automation Systems (IAS)
  • Automotive Radar for Autonomous Driving
  • Semiconductor Engineering IV (SE4)
  • Matrix Compution for Machine Learning and Signal Processing
  • Modelling and Analysis of Automation Systems (MAAS)
  • Scientific Writing and Research (FÜSQ)
• Industrial Automation Master Lab Course
  • Experiment 1 :- Introduction to CAN, CANScope, CANoe to understand CAN communication and developed CAPL code for CAN communication for car door control system.
  • Experiment 2 :- Real-time Programming with ADA for fluid control system
  • Experiment 3 :- Introduction to Microcontroller (dsPIC30F4011) Programming using Microchip C30 and C language
  • Experiment 4 :- Programmable Logic Controller (PLC) Programming for Storage Rack Control System using Siemens TIA Portal
  • Experiment 5 :- Rapid Prototyping with ASCET-SD for Wiper Control System and Pit Arm Control System of the car
  • Experiment 6 :- Test automation with Hardware-in-the-Loop on AUTOSAR demonstrator for car door and light ECU simulation

Exchange Semester in Computer Science

• Selected for Academic Course Access Program (ACAP)
• Sponsored by Baden-Württemberg-Stiftung through BWS-Stipendium
• Courses
  • Machine Learning for Innovation
  • Computer Vision
  • Mathematical Theory of Programming
  • Advanced Topics in Artificial Intelligence

B.Tech. in Electrical Engineering

• Bachelor Thesis
  • Maximum Power Point Tracking (MPPT) based Charge Controller
• Courses
  • Industrial Drives
  • Power Systems - I,II
  • Power Electronics - I,II
  • Electrical Networks
  • Electrical Machines - I,II
  • Electrical Measurements
  • Electromagnetic Field Theory
  • Control Systems - I,II
  • Signals and Systems
  • Switchgear and Protection
  • Electrical Machines - I,II
  • Analog Electronics
  • Digital Electronics
  • Digital Signal Processing (DSP)
  • Analog and Digital Communication
  • Microprocessors and Microcontrollers
  • Data Structures and Algorithms (DSA)
  • Database Management Systems (DBMS)

RobotDog Training for Indoor Navigation via Human-Robot Collaboration and Integrated AI [Master Thesis]

• Developing a framework for training a quadruped robot (RobotDog) for indoor navigation.
• Integrating human-robot collaboration techniques with AI for enhanced navigation.
• Integrating existing SLAM, camera, and motion estimation algorithms for real-time navigation.
• Integrating existing real-time speech interaction module for user commands and feedback, developed using LLMs.
• Implementing a real-time control system for the robot using ROS and Python.
• Skills
  • Python, ROS, SLAM, LLMs, Real-time Control Systems, Human-Robot Collaboration

A Framework for Cardiac MRI Feature Extraction And Visualization [Research Thesis]

• Developed a framework for cardiac feature extraction and visualization of cardiac MRI data.
• Evaluated the framework using datasets from NAKO and UK Biobank.
• Integrated Deep learning models like U-Net for segmentation, MOPNet for motion estimation, and DeepStrain's Green Lagrange Strain Compution module for strain tensor calculation.
• Used Open-source framework Pyradiomics for radiomics feature extraction.
• Features like ventricular volumes, diameters, stroke volumes, ejection fractions, and myocardial strain were extracted and visualized using AHA Bullseye.
• Interactive GUI using Streamlit for visualization and analysis of cardiac MRI data.
• Skills
  • Python, PyTorch, TensorFlow, Pyradiomics, Streamlit, Plotly, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn

Maximum Power Point Tracking (MPPT) based Charge Controller [Bachelor Thesis]

• Designed and implemented an MPPT-based charge controller for solar power systems.
• Partial shading conditions were considered for the MPPT algorithm.
• Developed a novel curve scanning-based MPPT algorithm to optimize energy harvesting considering the multi-modal I-V characteristics and P-V curves.
• Implemented the algorithm using MATLAB/Simulink for simulation and analysis to adjust the duty cycle of the DC-DC converter for converging at Global Maximum Power Point (GMPP).
• Conducted experiments and hardware verification to validate the performance of the MPPT algorithm under varying environmental conditions.
• Consummated an IEEE paper on the MPPT algorithm.
• Skills
  • C, MATLAB, Simulink, MPPT Algorithms, Solar PV Systems

Software Developer (Werkstudent)

• Developed 3-axis Pan-Tilt Robot Arm for Linux Driver Sensor Test Automation
• Integrated real-time control with Raspberry Pi, Python and C
• Integrated the robot module to CI Jenkins pipelines
• Customization of the Raspberry Pi image using Open-Source SDM (SD card manager)
• Skills
  • Python, C, Raspberry Pi, Linux, Jenkins, CI/CD, SDM, CMake, Git

Software Developer (Werkstudent)

• Developed Azure pipeline for siren detection in automated driving for the audio-data loop.
• Resolved ROS and Python issues for the Siren classifier and trainer modules.
• Optimized Docker setup for Bazel migration of existing software architecture.
• Skills
  • Python, ROS, Docker, Microsoft Azure DevOps, CI/CD, Bazel, Linux

Student Assistant (studentische hilfskraft)

• Developed Julia-based port-Hamiltonian packages for system modeling
• Implemented CI/CD pipelines with GitHub Actions for automated testing
• Contributed to Open-Source Julia packages for system and control theory
• Skills
  • Julia, GitHub Actions, CI/CD, Open-Source Contributions, Advanced Control Theory, Advanced Mathematics

Student Assistant (studentische hilfskraft)

• Formulated the project proposal for a DC-enabled microgrids in Africa (Ghana, Nigeria and Mozambique).
• Core member of the Project Design and Technical team.
• Developed presentational mind-maps using Miro.
• REnergetic project proposal issue fixing, testing and development of user-manual for various Pilots, Users & Clients.
• Functional testing of RENergetic web-interface.
• Skills
  • Microsoft Office, Miro, Unit Testing, Functional Testing

Student Assistant (studentische hilfskraft)

• Automated High-Altitude Test Facility for aerospace applications
• Designed nonlinear PID controllers for precise control systems
• Reviewed and compared the various ATF facilities in Germany
• Skills
  • MATLAB, Simulink, Control Systems, Nonlinear-PID Controllers

Student Assistant (studentische hilfskraft)

• Built Rice Encoder algorithm in C for the Flight Software for Japanese asteroid mission Destiny+
• The algorithm establishes the communication between the satellite and the ground station
• Skills
  • C, Data Encoding, Communication Protocols, Flight Software

Senior Software Engineer

• Web development with REST-based API integration for Huawei Petal search engine using Python.
• Developed Data Ingestion systems to crawl third-party websites using Web scraping and crawling.
• End-to-end development of Knowledge Graph-based projects for the Petal search GUI platform.
• Contributed more than 28K Lines-of-Code in 8 Product flows and 1 cross-platform project with good quality.
• Developed automated tools for Query Identifier & Pattern Generator to cater to user search intentions.
• Performed system integration with Elasticsearch, Apache Kafka, and Redis cache system.
• Carried out performance evaluation using metrics in Prometheus.
• Skills
  • Python, Django, Flask, FastAPI, REST APIs, Elasticsearch, Apache Kafka, Redis, Git, BeautifulSoup, Prometheus, Pandas, NumPy

Summer Analytics Intern

• Invested 250+ hours in the Data Science Bootcamp course.
• Learned basic to intermediate concepts in the domain of Data Science.
• Covered topics such as Statistics, Data Preprocessing, Feature selection & engineering, Data Visualization etc.
• Implemented Machine Learning algorithms like Linear & Logistic regression, decision trees, SVM, etc.
• Hands-on training on Neural Networks and Deep Learning using real-time datasets.
• Skills
  • Python, Pandas, NumPy, Scikit-learn, Scipy, Matplotlib, Seaborn, TensorFlow, PyTorch

Research Intern

• Electric Vehicle modeling and simulation using MATLAB/Simulink
• Skills
  • MATLAB, Simulink, Stateflow, Simscape

• Baden-Württemberg-Stipendium (Exchange to Tokyo Tech)
• Hack NOW! Pre-Finalist - 3rd Prize (NTT DATA + Silbury GmbH)
• Deutschlandstipendium (University of Stuttgart in Collaboration with Christian Bürkert Stiftung)

• Deutschlandstipendium (University of Stuttgart in Collaboration with Vishay Semiconductor GmbH)

• Huawei Future Star 2020 - Best Innovative Performer and Best Team Award