Hi, I'm SAI RAM KONDABATTULA
A
Self-driven, quick starter, passionate programmer with a curious mind
who enjoys solving a complex and challenging real-world problems.
About
I am a Computer Science Student at krishna University College of Engineering & Technology. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python, Django, Flask, MySQL, MongoDB, HTML5, CSS, Java, during my bachelor's. Building on my academic experience, I've gained valuable professional expertise in Python and Django through internships and real-world projects. My goal is to design and develop scalable, impactful applications that address pressing real-world challenges and drive meaningful change
- Languages: Java | Python | JavaScript | Sql | HTML & CSS
- Databases: MySQL | php | MongoDB
- Libraries: NumPy | Pandas | OpenCV | scikit-learn | TensorFlow
- Frameworks: Spring Boot | Flask | Django | Node.js | ReactJs | PyTorch | Bootstrap
- Tools & Technologies: Git
Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.
Internship Experience
- Developed and managed the frontend & backend of an e-Learning platform using Html, Css, Js, php, MySQL.
- Worked on two web applications Student profile, User and admin profile; with functionalities such as login/sign up, view a Course Details and Price details, etc.
- Student Portal: Streamlined learning experience with features like course enrollment, lesson planning, and progress tracking.
- Introduced a Bulk Content Upload feature, reducing manual effort required to populate courses and lessons.
- Tools: php , Html , CSS , JS
- The primary goal of this project is to develop an intelligent system capable of analyzing vehicle movement in real-time using Edge AI techniques.
- Data Acquisition and Preprocessing: Enhance the dataset using techniques like image augmentation (Resize and Normalization, rotation, flipping, scaling) to improve model robustness.
- Object Detection Models: OpenCV (Open Source Computer Vision Library) is a powerful tool that provides a wide range of functions for image and video processing. YOLO (You Only Look Once) - Fast and efficient for real-time object detection.
- Evaluated the trained model on the validation set to assess its performance. Use metrics like precision, recall, F1-score, and Intersection over Union (IoU) to measure the accuracy of object detection.Deployed the model and necessary libraries to the edge device.
- Tools: Python, OpenCV, YOLOv3, Keras, Tensorflow, PyTorch
- A comprehensive and well-organized database of products with detailed descriptions (name, price, images, specifications, etc.).
- Categories and subcategories to help users easily navigate and find products.
- Search functionality to allow users to quickly find specific products.
- Tools: Html, Css, JavaScript, php
Artificial Intelligence & Machine Learning Internship
- NLTK (Natural Language Toolkit): Comprehensive library with tools for various NLP tasks, including sentiment analysis.
- TextBlob: User-friendly interface with built-in sentiment analysis capabilities.
- spaCy: Fast and efficient library with advanced NLP capabilities, including named entity recognition, part-of-speech tagging, and sentiment analysis.
- Tools: Jupyter notebook, Python, NLTK
Projects
Non-Invasive Blood Group Detection Using Deep Learning Model
Sgpa &Cgpa calculater based on javascript
Skills
Languages and Databases
Java
HTML5
CSS3
JS
Python
MySql
php
Libraries
NumPy
Pandas
OpenCV
scikit-learn
matplotlib
Frameworks
Django
Flask
Bootstrap
Keras
TensorFlow
PyTorch
Other
Git
AWS
Heroku
Education
Krishna University College of Engineering and Technology
Machilipatnam , Krishna District
Degree: B.Tech in Computer Science & Engineering
Batch: 2021-2025
GPA: 90.0% ↗
- Database Management Systems
- Computer Networks
- Cloud Computing
- Operating Systems
- Machine Learning
- Computer Vision
Relevant Courseworks:
Jangareddigudem , Eluru District
Board of Intermediate Education , AP
Group: MPC
Year: 2019-21
Score: 986/1000 ↗
Jangareddigudem , Eluru District
Board of Secondary Education , SSC
Year: MAR 2019
GPA: 9.7/10 ↗
Publication
A Review on Software Engineering Perspective of Emerging Technologies Challenges :
Achievements & Certifications
Contact
Let's Connect ✉️
Let’s Collaborate
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Phone
+91 8008270486