AVULAPOLU VASU
v******************@gmail.com • +91*******754 • linkedin.com/•••••
Career Objective
Electronics and Communication Engineering graduate with training in Full Stack Python Development and a strong foundation in Python, SQL, HTML, CSS, JavaScript, and web application development. Skilled in developing responsive web applications, data analysis and IoT solutions. Hands-on experience with Python libraries, database management, and real-world academic projects. A quick learner with strong analytical, problem-solving, and teamwork skills, eager to contribute as a Python Full Stack Developer in a growth-oriented organization.
Education
Sathyabama Institute of Science and Technology
B.E. in Electronic communication Engineering • Chennai • Aug 2022 – Apr 2025
Panimalar Polytechnic College
DECE in Electronic communication Engineering • Chennai • Aug 2019 – Apr 2022
Technical Skills
Programming Languages: Python,JavaScript,MATLAB
Web Technologies: HTML,CSS
Databases: SQL
Data and Analytics: MS Excel,Database management
Projects
Water Quality Assessment using Image Processing (Sembakkam Lake) | Apr 2025 – Apr 2025
Tools Used: Python, OpenCV, RGB colorspace analysis, Image processing, Matplotlib, Pandas
- Built an image-processing pipeline to evaluate surface turbidity and color gradients from lake images to identify eutrophication indicators.
- Applied RGB colorspace analysis and adaptive thresholding to detect algae proliferation and suspended solids in sample images.
- Implemented preprocessing, segmentation, and statistical feature extraction to convert visual indicators into structured data for analysis.
- Visualized temporal and spatial water-quality metrics using Matplotlib to support manual inspection and reporting.
- Integrated data handling with Pandas and saved processed results to CSV for downstream analysis and comparison.
Smart Helmet | Jan 2023 – Jan 2023
Tools Used: Arduino, DHT11, LDR, Gas sensors, LED modulation, Arduino IDE
- Designed and prototyped an Arduino-based smart helmet to improve worker safety by detecting hazardous conditions in real time.
- Integrated DHT11, LDR, and gas sensors to monitor environmental parameters and trigger automated auditory and visual alerts.
- Implemented low-light automatic LED illumination and hazard buzzer logic using sensor thresholds and interrupt-driven control.
- Programmed robust sensor polling and debounce logic in Arduino IDE to minimize false alarms and conserve power.
- Modularized firmware to allow easy sensor additions and tuned thresholds for on-site safety conditions.
Arduino-Based EEG Signal Reader with LCD Display and Digital Output Control | Oct 2022 – Oct 2022
Tools Used: Arduino, EEG sensors, Signal processing, LCD interfacing, Arduino IDE
- Developed an Arduino-driven EEG reader to capture and visualize brainwave signals on an LCD in real time.
- Implemented basic analog filtering and threshold detection to extract meaningful signal bands for display and control.
- Mapped EEG-derived thresholds to digital outputs to drive actuators, demonstrating a fundamental brain-computer interface.
- Optimized sampling and display refresh to ensure stable visualization and responsive control actions.
- Packaged the prototype with clear signal-path documentation to enable reproducibility and future enhancements.
Li-Fi Prototype | Apr 2021 – Apr 2021
Tools Used: Li-Fi, LED modulation, Solar cell receivers, Arduino, Wireless data transmission
- Engineered a Li-Fi prototype that transmits data using visible light through LED intensity modulation.
- Designed a solar cell-based receiver with Arduino decoding to convert flickering light signals into digital data.
- Implemented simple modulation and demodulation schemes to demonstrate interference-resistant, line-of-sight communication.
- Integrated hardware and firmware to achieve reliable short-range data transfer in controlled test setups.
- Documented the prototype design and test results to showcase a practical alternative to radio-frequency links in constrained environments.
Certifications
Full stack python — NARESH i TECHNOLOGIES • Nov 2025
Achievements
- Road Safety Patrol Captain: Led and managed a 20-member team, demonstrating leadership, coordination, and organizational skills.
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