Ayusee Swain-Intern
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Experience
Intern
Schaeffler
- Built a Trend-Scouting AI system to automate technology intelligence in power electronics and semiconductors, combining Azure OpenAI with LangChain, Scrapy-based web crawling for structured, noise-free data acquisition, and automated PDF reporting for internal R&D use. Developed a FastAPI-based (Uvicorn) web application to validate LLM outputs, test prompt strategies, and enable interactive system evaluation.
- Developed a real-time STM32 binary telemetry debugger with a PyQt-based GUI, featuring header-based frame synchronization, anomaly detection, template-driven payload decoding, time-aligned buffering, and live signal visualization.
- Developed an AI-driven power inductor designer using surrogate regression models for accurate electromagnetic and thermal prediction. Integrated multi-objective NSGA-II optimization to generate efficient, manufacturable designs.
Working Student
Makino Europe GmbH
- Built a real-time industrial Human Activity Recognition system for smart workstations, using skeleton-based pose estimation (MMPose) and Shift-GCN models to classify fine-grained clamping actions and detect process deviations under real-world constraints.
- Developed a scalable, parameter-driven AnyLogic (Java) simulation for an AMR-automated job shop, implementing discrete-event and state-machine based task scheduling for multi-robot coordination, AMR charging, and batched workpiece handling, with automated KPI tracking (OEE, cycle time, machine idle) and 2D/3D visualization to assess production flow, optimize throughput, and support data-driven resource planning.
Freelance Software Developer
b-it-bots, Hochschule Bonn-Rhein-Sieg
- Developed a robust YOLO-based perception pipeline on KUKA youBot (RoboCup@Work 2025) and migrated a Kinova arm simulation stack from ROS2 to ROS1, creating MoveIt configurations for controllers, planning groups, and end-effectors to enable motion planning in RViz and Gazebo.
- Developed an HRI and manipulation pipeline for Toyota Human Support Robot, integrating ASR and NLP for dialogue understanding and noise-robust interaction, and programming manipulation behaviors (pouring, transferring, placing, table cleaning) using MoveIt and force sensing.
Working Student
itemis AG
- Implemented camera-LiDAR sensor fusion for AV perception to distinguish pedestrians from deceptive images, training YOLO on a custom CARLA dataset and validating detections via LiDAR point-cloud projection into camera frame for depth variance-based spatial verification.
- Conducted TARA per ISO/SAE 21434 for cyber threat modelling and adversarial risk mitigation in AVs.
- Developed a Java-based interpreter for automated test execution, using dynamic data structures to process XML-defined data-flow graphs and JSON-serialized simulation states.
System Engineer
Tata Consultancy Services
- Delivered end-to-end support for large-scale financial applications, including development, testing, database/BO management, IT project tracking with JIRA and Confluence, and change management via ServiceNow.
- Automated job scheduling and workloads with AutoSys, and managed BAU tasks, resolving incidents and addressing data discrepancies.
Autonomous Mobile Robot Navigation
H-BRS
Developed autonomous wall-following behavior on the KELO ROBILE mobile robot in ROS2, using RANSAC for wall detection, ORCA for obstacle navigation, and a behavior tree to handle low battery and collision avoidance.
Dodecacopter Dynamics Simulation
H-BRS
Built a 12-rotor dodecacopter 3D simulation in Gazebo using a custom SDF file, integrated with PX4 SITL and ROS2, and configured MAVLink for autopilot communication. Enabled stable flight and mission execution via QGroundControl with PID-tuned hover and trajectory tracking.
EduPepper: Interactive Elective Recommendation Robot
H-BRS
Built a socially interactive Pepper robot in qiBullet simulation to recommend electives based on student preferences, integrating face recognition for personalized greetings, speech recognition, NLP-based dialogue understanding, and Bayesian networks for decision-making.
Sano: Health Claim Fact-Checker
H-BRS
Developed a prototype to assess health claim credibility by computing semantic similarity with verified sources (Mayo Clinic, WHO) using BioBERT embeddings, spaCy, and Qdrant for the TUM “Digital Health Literacy” challenge at the Pristina Healthcare Hackathon 2025.
Industry Experience
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Experienced in Manufacturing, Education, Banking and Finance, Information Technology, and Automotive.
Business Area Experience
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Experienced in Information Technology, Research and Development, Operations, Product Development, Project Management, and Quality Assurance.
Skills
- Programming Languages: Python, Java, C, C++, Matlab, Solidity
- Technical Knowledge: Computer Vision, Machine Learning, Deep Learning, Nlp, Large Language Models, Drone Dynamics & Control, Autonomous Robots, Human-Robot Interaction, Blockchain, Embedded Telemetry & Binary Protocols
- Robotics & Simulation Tools: Ros, Px4 Autopilot, Qgroundcontrol, Gazebo, Rviz, Carla, Qibullet, Anylogic
- Web Development: Html, Css, Javascript, Bootstrap, React, Php, Yii2, Flask, Fastapi, Scrapy, Jinja2, Web3.Js
- Databases: Ms Sql Server, Mysql
- It: Docker, Ci/Cd, Git, Autosys, Jira, Servicenow, Confluence, Sap Bo, Office 365
- Operating Systems: Windows, Unix, Ubuntu
Languages
Education
Hochschule Bonn-Rhein-Sieg
Master of Science · Autonomous Systems · Sankt Augustin, Germany
College of Engineering and Technology
Bachelor of Technology · Electrical Engineering · Bhubaneswar, India · CGPA-8.02
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