Entry-level AI Engineer with Python, Machine Learning, and Data Analysis skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Python, Machine Learning, Deep Learning, and Data Analysis. Skilled in developing AI-driven solutions using TensorFlow, Keras, Pandas, NumPy, and SQL. Experienced in building and evaluating machine learning models through academic projects, with a strong foundation in data preprocessing, model training, and problem-solving. AWS Academy Machine Learning certified and passionate about applying AI and data science to solve real-world engineering challenges.
Vasireddy Venkatadri Institute Of Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2020 – June 30, 2024
KodNest
Java Full Stack Developer
March 1, 2024 – May 1, 2024
India
Salesforce Developer
(Virtual Internship)
April 1, 2023 – May 1, 2023
India
Artificial Intelligence Based Music Composing Model
January 1, 2024 – May 1, 2024
Developed a deep learning generative AI model to compose original piano music using the MAESTRO dataset. Built data preprocessing pipelines to transform raw MIDI files into structured datasets for training. Implemented and evaluated RNN, LSTM, and GRU architectures for sequence generation. Performed model training, testing, and optimization to improve generated music quality.
Stress Detection Using Machine Learning
September 1, 2023 – January 1, 2024
Developed a full-stack web application for real-time stress detection using facial emotion recognition. Built responsive user interfaces using HTML5 and integrated backend services using Flask. Implemented machine learning models using TensorFlow and OpenCV for real-time predictions. Achieved 95% model accuracy through model optimization and feature engineering.
Data Analytics with Python
NPTEL
June 1, 2026 – Present
AWS Academy Machine Learning
AWS Academy
June 1, 2026 – Present
Applied Data Science with Python
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects align well with an AI Engineer role, showcasing a passion for applying AI to solve real-world challenges. The diversity of projects (generative AI, real-time ML web app) and certifications demonstrate a broad interest within the AI/ML domain. While the internships are in different areas (Java Full Stack, Salesforce), they indicate adaptability and a willingness to learn new technologies, which is a positive for cultural fit. However, the lack of professional AI/ML experience means the fit is primarily based on academic alignment and potential.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex technical problems independently. Participation in Agile sprints during an internship indicates familiarity with iterative development methodologies. The academic nature of projects limits insight into direct team collaboration and stress handling in a professional setting.