GOTATEJESHKUMAR
Computer Vision Engineer • Tirupathi, A.P • t*********@gmail.com • 630****253 • linkedinprofile/••••• • drivetube.ai/•••••
Professional Summary
Computer Vision Engineer with 0-1 years of experience applying computer vision and embedded systems fundamentals to prototype automated attendance systems and microstrip antenna designs. Skilled in Python, OpenCV, C, JavaScript, HTML/CSS and basic machine learning; seeking an entry-level role to contribute to vision-enabled products and embedded communications projects.
Technical Skills
Programming Languages: C,Python,Java,JavaScript
Web Technologies: HTML,CSS
Frameworks and Libraries: OpenCV
Data and Analytics: Computer Vision,Machine Learning fundamentals
Tools and Methodologies: MS Excel,MS Office
Skills: English,Telugu
Web & Frontend: Browser APIs webcam integration
Embedded & RF: Microstrip antenna design,RF fundamentals,IoT concepts
Soft Skills: Problem solving,Teamwork,Presentation,Active listening,Communication
Work Experience
ExcelREdtechPvt.Ltd.
Intern
June 2024 – July 2024
Interned at an edtech company on web development and applied computer vision and basic machine learning concepts to prototype product demos and attendance automation.
Tech Stack: Python, OpenCV, JavaScript, HTML, CSS, Machine Learning
- Built a prototype automated attendance system using Python and OpenCV that captures webcam images, generates face samples, and recognizes returning faces to automate roll-call during demos.
- Implemented face detection and recognition pipeline (image capture, preprocessing, embedding) using OpenCV and Python to enable reliable identity matching in varied classroom lighting.
- Developed frontend components with JavaScript, HTML and CSS to allow live webcam capture, sample registration, and display of recognized names, improving prototype usability for demonstrations.
- Applied fundamental machine learning techniques to train and validate recognition models on collected samples, iterating preprocessing to reduce false positives and improve recognition stability.
- Performed end-to-end debugging and testing across multiple browser/camera setups, diagnosing image preprocessing issues and improving pipeline robustness for prototype deployment.
- Documented implementation details and prepared a technical walkthrough and demo presentation for mentors and stakeholders showcasing the attendance automation flow.
Projects
Microstrip Antenna for 5G Application at 28 GHz
Tools Used: Microstrip antenna design, RF fundamentals, Electromagnetics
- Designed a microstrip patch antenna concept targeting the 28 GHz 5G band, adapting a previous 25 GHz approach to account for higher-frequency effects on dimensions and substrate behavior.
- Performed parametric adjustments to patch geometry and feeding technique to shift resonance to 28 GHz while considering impedance matching and bandwidth requirements.
- Documented simulated performance expectations (resonant frequency, return loss, radiation behavior) and recommended design changes for prototype fabrication and testing.
Automated Attendance using Face Recognition
Tools Used: Computer Vision, OpenCV, Python, Webcam integration
- Created an application that captures face samples via webcam, stores labeled samples, and recognizes registered faces in subsequent sessions using OpenCV-based pipelines.
- Implemented image preprocessing (grayscale conversion, normalization) and face alignment steps to improve recognition accuracy across different poses and lighting.
- Integrated a simple web interface for sample registration and attendance display, enabling easy demonstration of the system to users and evaluators.
Education
Sri Venkateswara College of Engineering
B.Tech in Electronics and Communication Engineering • 2022 – 2025
Golden Valley Integrated Campus - Angallu, Madanapalle
Diploma • 2018 – 2021
SathyaSai (EM&TM) High School, Madanapalle
Class X • 2018 – 2018
Certifications
Python — CISCO
Java Programming Language — edX
IoT — NPTEL
Programming in C — Radar Technical Center India Private Limited
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