Open to opportunities

Pavuluri Kondalu

@pavulurikondalu

Message

I am a Computer Science (AI) student skilled in full-stack development and machine learning.

India

Message

What I'm looking for

I'm seeking an entry-level backend or AI-focused role where I can apply ML and backend skills, contribute to impactful projects, learn continuously, and collaborate with a growth-oriented engineering team.

I am a Computer Science (AI) undergraduate specializing in full-stack development, mobile applications, and machine learning, currently pursuing a B.Tech with expected graduation in 2026. I am seeking backend or AI-focused roles where I can contribute to impactful projects and continue learning.

I have built end-to-end projects including Kisan Setu, a React Native mobile app using Firebase with OTP authentication and cross-platform responsive design; a Food Diet Recommendation System combining FastAPI/Flask backends, Streamlit frontends, and GCP deployment; and a DeepFake Detection CNN using OpenCV deployed via Streamlit. These experiences showcase my hands-on work with Python, JavaScript, React/React Native, FastAPI, Firebase, and ML techniques like KNN and CNN.

I am a quick learner with a strong analytical mindset, effective communication skills, and a collaborative approach to engineering. I enjoy solving real-world problems, optimizing backend services, and refining ML models to deliver measurable user-facing impact.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

DeepFake Detection

Built a CNN-based DeepFake detection model using Python and OpenCV and deployed an interactive Streamlit interface, achieving high accuracy on face forgery datasets.

CNN OpenCV Python Streamlit Image Processing Deep Learning Model Evaluation

Mobile App Developer

Kisan Setu

Developed a cross-platform React Native mobile app for farmer-laborer hiring with Firebase backend and OTP-based authentication, delivering a responsive UI for Android and iOS.

React Native Firebase Firebase Authentication JavaScript HTML CSS Responsive Design

ML Developer

Food Diet Recommendation System

Developed an ML-based diet recommendation system using KNN with a FastAPI/Flask backend, integrated a Streamlit frontend and deployed the model on GCP to deliver real-time personalized diet suggestions.

K NN fastAPI Flask Streamlit Python GCP)REST APIs

Education

Degrees, certifications, and relevant coursework

Parul Institute of Engineering and Technology, Parul University

Bachelor of Technology, Computer Science and Engineering (AI)

Grade: CGPA: 6.96

Activities and societies: Projects: Kisan Setu (React Native, Firebase), Food Diet Recommendation System (Python, FastAPI, Streamlit, GCP), DeepFake Detection (CNN, OpenCV). Skills: Python, JavaScript, React Native, FastAPI, Firebase, ML.

Pursuing B.Tech in Computer Science and Engineering (Artificial Intelligence) at Parul Institute of Engineering and Technology with expected graduation in 2026 and current CGPA 6.96.