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AI Engineer with less than a year in Machine Learning, Deep Learning & Data Science.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated B.Tech undergraduate specializing in AI/ML with 10 months of hands-on experience through internships. Proficient in Python, TensorFlow, and Keras, with expertise in developing predictive models, OCR systems, and face recognition applications. Demonstrated ability to apply deep learning and computer vision techniques to solve complex problems and deliver high-accuracy results.
URCET, Vijayawada
B.Tech · AIML
August 1, 2021 – June 30, 2025
Sri Chaitanya Jr.college, Vijayawada
12th
June 1, 2019 – May 31, 2021
Sri Kirshna Sai High School, Pernamitta
10th
June 1, 2018 – May 31, 2019
360DigiTMG
Data Science Intern
January 1, 2025 – April 1, 2025
India
Infosys Springboard
AI/ML Intern
October 1, 2024 – December 1, 2024
India
AICTE
AI-ML Virtual Intern
July 1, 2022 – September 1, 2022
India
CARDIOVASCULAR DISEASE PREDICTION USING GAN AND CNN
March 1, 2025 – Present
Developed a predictive model for cardiovascular disease using Generative Adversarial Networks (GAN) and Convolutional Neural Networks (CNN). Trained on MRI scan images to assess patient risk, significantly enhancing diagnostic accuracy through advanced image preprocessing and data augmentation techniques. This is made using Python, TensorFlow, Keras, NumPy.
OPTICAL CHARACTER RECOGNITION USING CNN
January 1, 2024 – Present
Developed a CNN-based OCR system for recognizing characters and digits (A-Z, 0-9) with backpropagation for optimization. Used Python, TensorFlow/Keras, and OpenCV, achieving high accuracy through data augmentation and hyperparameter tuning, demonstrating expertise in deep learning, computer vision, and real-time image processing. This is made using Python, TensorFlow/Keras.
FACE DETECTION, AGE ESTIMATION, AND EXPRESSION RECOGNITION SYSTEM
July 1, 2023 – Present
Created a web-based Face Detection System that detects facial landmarks, estimates age, and recognizes expressions using face-api.js. Built an easy-to-use interface with HTML, CSS, and JavaScript for real-time analysis. The system uses pre-trained models for accurate results, combining machine learning with web technologies for practical applications. This is made using html, css and JavaScript.
NPTEL courses on Privacy and Security and IIoT 4.0
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest and dedication to the AI/ML domain. The diversity of projects (medical imaging, OCR, face detection, chatbots) indicates a broad curiosity and willingness to explore different applications of AI. This aligns well with a culture that values continuous learning and innovation. However, the experience is primarily academic/internship-based, so adaptability to a fast-paced, production-oriented environment needs to be validated.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple internships and NPTEL certifications. Project descriptions indicate an ability to work on complex technical challenges. However, as an undergraduate with limited professional experience, the operational fit for a senior role might require significant mentorship and ramp-up time.