Shalini Vadlamani
Enschede,OV
Summary
Passionate about integrating AI with embedded systems, holding a Master’s degree in Embedded Systems from the University of Twente. Experienced in developing and optimizing machine learning models for impactful applications like human gesture recognition and IoT smart home systems. Proficient in Python, TensorFlow, and neural networks, with a solid foundation in embedded system design on platforms such as FPGA and RISC-V. Familiar with Agile methodologies and tools such as MATLAB, ModelSim, Simulink, Visual Studio Code, and PyCharm. Eager to contribute to innovative, technology-driven projects while expanding technical expertise.
Overview
5
5
years of professional experience
Work History
Research and Development Intern
Bauwatch Technologies
02.2022 - 05.2022
- Leveraged unsupervised learning techniques to identify outliers and anomalies in security datasets, enhancing data quality and improving the performance of machine learning models for various operational tasks.
Summer Intern
Verzeo
05.2020 - 07.2020
- Developed an advanced IoT smart home system using supervised learning (linear regression, random forests) to optimize energy, security, and personalization.
- Seamless data integration enhanced automation, leading to a more efficient and responsive living environment.
Summer Intern
05.2019 - 06.2019
- Developed a GSM-based home automation system for remote appliance control using mobile GPS.
- Enhanced system efficiency and reliability through the integration of machine learning models, including time series analysis and anomaly detection.
Human Gesture Recognition-Meta Learning(Thesis)
University of Twente
07.2023 - 07.2024
- Conducted advanced research on human gesture recognition using Model-Agnostic Meta-Learning and Wi-Fi Channel State Information.
- Achieved near-perfect accuracy in diverse real-world scenarios, showcasing expertise in unsupervised learning, data analysis, and AI model optimization.
Human Pose Estimation Using Rasberry Pi 4
University of Twente
02.2023 - 04.2023
- Developed a CNN-based posture recognition system on Raspberry Pi 4.
- Optimized performance using OpenCV preprocessing, postprocessing, and multithreading.
Vision – in – the – Loop
University of Twente
05.2022 - 07.2022
- Explored computer architecture options for embedded systems using UART, VHDL, C++, and GStreamer.
- Integrated machine learning techniques for efficient image processing and DSE, optimizing system performance and capabilities.
Education
Master of Science - Embedded Systems
University of Twente
Enschede, The Netherlands07.2024
Bachelor of Theology - Electronics And Communication
Gandhi Institute of Technology And Management
Visakhapatnam, India05.2021
Skills
- Artificial Intelligence, Machine Learning, Deep Learning
- Python, TensorFlow, Neural Networks
- C, C, VHDL, JAVA
- Data Science, Big Data, Data Mining
- Agile, Scrum, Jira
- MATLAB, Visual Studio Code, MultiSim, Simulink, PyCharm
- Communication, Leadership, Project Management
- Cloud Computing (Docker, Kubernetes, AWS)
- Git, Linux
Timeline
Human Gesture Recognition-Meta Learning(Thesis)
University of Twente
07.2023 - 07.2024
Human Pose Estimation Using Rasberry Pi 4
University of Twente
02.2023 - 04.2023
Vision – in – the – Loop
University of Twente
05.2022 - 07.2022
Research and Development Intern
Bauwatch Technologies
02.2022 - 05.2022
Summer Intern
Verzeo
05.2020 - 07.2020
Summer Intern
05.2019 - 06.2019
Master of Science - Embedded Systems
University of Twente
Bachelor of Theology - Electronics And Communication
Gandhi Institute of Technology And Management
Similar Profiles
Shalini VadlamaniShalini Vadlamani
Research and Development Intern at Bauwatch TechnologiesResearch and Development Intern at Bauwatch Technologies
Gratz ArmstrongGratz Armstrong
Senior Product Planner at Agilent Technologies, Keysight TechnologiesSenior Product Planner at Agilent Technologies, Keysight Technologies
Sachin HatoleSachin Hatole
Quality Analyst at Mindpool Technologies Pune, Mindpool TechnologiesQuality Analyst at Mindpool Technologies Pune, Mindpool Technologies