Nanduri Dundi

Vijayawada, Andhra Pradesh, India

Since April 7, 2026

About

I’m a Computer Science undergraduate at Velagapudi Ramakrishna Siddhartha Engineering College with a CGPA around 8.8. I have a strong foundation in programming languages like Python, Java, C, and JavaScript, along with core subjects like Data Structures, DBMS, and OOP. I’m really interested in Artificial Intelligence and Machine Learning, and I’ve worked on projects like predicting football player transfer values using LSTM and ensemble models, real-time Indian currency detection using YOLO, and an IoT-based greywater classification system. I’ve also built web applications like a movie recommendation system and a typing speed tester using HTML, CSS, JavaScript, and React. I actively practice problem-solving and have solved hundreds of problems on platforms like LeetCode and GeeksforGeeks, which helped me improve my algorithmic thinking. I also completed an AI internship with Infosys Springboard, where I gained hands-on experience in data preprocessing, model building, and evaluation. Apart from technical work, I’ve participated in coding competitions and even won prizes, and I’m involved in social activities through NSS like flood relief and road safety awareness. Overall, I’m someone who enjoys learning new technologies and aims to build practical solutions using AI and software development.

Skills

React.jsMobile App DevelopersHTML5AI EngineerMongoDBPythonLLM applicationsPython/RtypescriptLlm Fine TuningSystems ArchitectureSQL ServerDecision MakingLead GenerationGit-GitHubSQLJavaTeam CollaborationTime Series Forecasting

Key Strengths

Strong foundational knowledge in Machine Learning, Deep Learning, and Artificial Intelligence, demonstrated through relevant projects.
Practical experience in computer vision (YOLO, OpenCV, Roboflow) and time-series forecasting (LSTM, XGBoost, LightGBM) with measurable project outcomes (RMSE 1.83, mAP@0.5 of 0.85).
Proficiency in Python, a core language for ML/AI development, and familiarity with other relevant technologies like React.js, SQL, and MongoDB.
Solid understanding of Data Structures and Algorithms, evidenced by competitive programming achievements (600+ LeetCode, 300+ GeeksforGeeks problems).
Exposure to the Software Development Life Cycle (SDLC) through internship description, indicating awareness of development processes.
Direct alignment of project work and technical skills with the requirements of an ML Engineer role.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data. The psychometric test score is 0, and the resume does not provide explicit information regarding team collaboration or cultural fit indicators.

Soft Skills & Operational Fit

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Key Strengths

Strong foundational knowledge in Machine Learning, Deep Learning, and Artificial Intelligence, demonstrated through relevant projects.
Practical experience in computer vision (YOLO, OpenCV, Roboflow) and time-series forecasting (LSTM, XGBoost, LightGBM) with measurable project outcomes (RMSE 1.83, mAP@0.5 of 0.85).
Proficiency in Python, a core language for ML/AI development, and familiarity with other relevant technologies like React.js, SQL, and MongoDB.
Solid understanding of Data Structures and Algorithms, evidenced by competitive programming achievements (600+ LeetCode, 300+ GeeksforGeeks problems).
Exposure to the Software Development Life Cycle (SDLC) through internship description, indicating awareness of development processes.
Direct alignment of project work and technical skills with the requirements of an ML Engineer role.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data. The psychometric test score is 0, and the resume does not provide explicit information regarding team collaboration or cultural fit indicators.

Soft Skills & Operational Fit