Koraganji Shanmukhapriya
Software Engineer • Nellore, Andhra Pradesh • l********************@gmail.com • +91*******086 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Software Engineer with 0.3 years of experience building backend features and ML-enabled embedded solutions. Proficient in Python and Java with hands-on experience in relational databases, computer vision (YOLOv8), embedded IoT (ESP32), Git-based workflows, and Agile SDLC. Strong foundation in data structures, OOP, debugging and code optimization; seeking entry-level software engineering roles focused on backend development, automation, or computer vision-enabled systems.
Technical Skills
Programming Languages: Python,Java,JavaScript
Web Technologies: HTML
Frameworks and Libraries: PyTorch,OpenCV,YOLOv8
Databases: SQL,MySQL,PostgreSQL
Cloud and DevOps: Linux
Data and Analytics: Computer Vision,Edge Computing
Tools and Methodologies: Git,GitHub,VS Code
Embedded Systems & IoT: ESP32,Ultrasonic Sensors,GSM Modules
Core CS Concepts: Data Structures & Algorithms,Object-Oriented Programming,Operating Systems
Software Engineering Practices: SDLC,Agile Methodology,Testing,Debugging,Code Optimization
Work Experience
Innobyte Services
Andhra Pradesh, India
Python Developer Intern
May 2025 – July 2025
Worked at Innobyte Services, an IT services company, contributing to a Personal Finance Management System; supported backend development, data handling, testing, and Agile deliveries.
Tech Stack: Python, Git, GitHub, SQL, PostgreSQL, Agile, SDLC, VS Code, Linux
- Implemented income, expense and budgeting modules in Python following company coding standards; integrated business logic with relational storage to support persistent financial records.
- Designed and executed unit and integration tests for critical transaction flows, improving application stability and preventing regressions during feature changes.
- Performed debugging and root-cause analysis on reported defects across backend modules, resolving functional issues and improving reliability of financial calculations.
- Optimized data handling and application logic for financial record processing, reducing processing latency and ensuring accurate aggregation of transactions.
- Collaborated in Agile ceremonies, participated in code reviews and sprint planning, and coordinated feature delivery across the development team using Git and GitHub workflows.
- Maintained project documentation and branch hygiene in GitHub, assisted with build/version control tasks, and adhered to SDLC practices to deliver features on schedule.
Projects
AI-Based Traffic Control System
Tools Used: YOLOv8, OpenCV, ESP32, Computer Vision, Edge Computing, Python
- Built a real-time vehicle detection pipeline using YOLOv8 and OpenCV to estimate traffic density from camera feeds.
- Implemented ESP32-based adaptive signal control that adjusted signal timings based on computed traffic density to improve flow responsiveness.
- Added emergency vehicle prioritization logic to alter signal behavior when priority vehicles were detected, reducing potential response delays.
- Applied edge computing techniques to process video frames locally on embedded hardware, reducing latency and network dependency.
Smart Waste Segregation and Notification System
Tools Used: Embedded Systems, Ultrasonic Sensors, GSM Modules, Image Recognition, Python
- Designed an IoT waste segregation system combining image recognition with sensor-based automation to classify and separate waste streams.
- Integrated ultrasonic sensors to monitor bin fill levels and a GSM module to send real-time notifications for collection triggers.
- Implemented automated segregation logic to reduce manual intervention and improve classification accuracy using trained image models.
- Documented hardware-software interfaces and system workflow to support deployment and maintenance.
Autonomous Exoskeleton with Edge Computing
Tools Used: Edge Computing, Sensor Integration, Motion Analysis, Python, Embedded Systems
- Designed a sensor-integrated exoskeleton prototype for real-time movement prediction and rehabilitation assistance.
- Developed AI-based motion analysis algorithms to improve movement accuracy and responsiveness of assistive actuators.
- Utilized edge computing to perform low-latency inference on-device for faster response in rehabilitation scenarios.
- Collaborated on system-level integration between sensors, control logic, and edge inference components to ensure synchronized behavior.
Education
Kalasalingam Academy of Research and Education
Bachelor of Technology (B.Tech) – Electronics and Communication Engineering • 2022 – 2026
Certifications
Python Developer Internship Certificate — Innobyte Services
Amazon Data Analyst: Advanced Excel Masterclass — Coding Ninjas & Naukri
GUVI HCL Full Stack Development Workshop — GUVI / HCL
MathFlix Workshop – Mathematical & Analytical Skills — MathFlix
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