
AI Engineer with less than a year in Machine Learning & Deep Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence and Machine Learning undergraduate with hands-on experience in machine learning, deep learning, and data analysis. Skilled in Python, TensorFlow, and Scikit-learn through targeted industry internships and comprehensive academic projects. Seeking to leverage machine learning and deep learning expertise to architect scalable AI systems and engineer data-driven solutions.
Sagi Rama Krishnam Raju Engineering College (A)
Bachelor of Technology (B.Tech) · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
IIDT (International Institute of Digital Technologies)
Machine Learning Intern – Heart Disease Prediction
May 1, 2025 – July 1, 2025
Tirupati, Andhra Pradesh, India
BLACKBUCKS
Machine Learning Intern – Real-Time Cricket Score Prediction
June 1, 2024 – July 1, 2024
India
Automated Road Damage Detection using Deep Learning
June 30, 2026 – Present
Architected an automated deep learning pipeline for real-time road damage detection, accurately classifying and localizing pavement cracks and potholes from high-resolution drone imagery. Leveraged sophisticated EfficientNet-B2, BiFPN, and FCOS neural network architectures for robust multi-scale feature extraction and high-precision anchor-free object detection. Implemented advanced image preprocessing and geometric data augmentation pipelines (including resizing, normalization, multi-angle rotation, and horizontal/vertical flipping) to drastically improve model generalization. Deployed the finalized deep learning model using Streamlit, establishing an interactive web interface for real-time inference and localized bounding-box damage visualization.
Travel Tourism Full-Stack Web Application
June 30, 2026 – Present
Designed and engineered a fully responsive travel tourism web platform featuring seamless booking flows and integrated search filters, enhancing user engagement and boosting conversion rates by 10%. Developed modular, interactive components including multi-step booking forms, dynamic search systems, secure user authentication modules, and interactive visual elements. Integrated the Google Translate API to establish robust multilingual localization, significantly expanding application accessibility and usability for a global user demographic.
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Certified AI-ML Virtual Internship
AICTE EduSkills
June 1, 2026 – Present
Google Cloud Career Launch – Cloud Engineer Track
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI/ML, coupled with relevant internships and projects, aligns well with an AI Engineer role. The diversity of projects (deep learning for image analysis, traditional ML for prediction, full-stack web development) shows a broad interest and willingness to explore different technical areas. Participation in workshops and certifications indicates a proactive learning attitude. However, the experience is primarily academic and internship-based, which might require mentorship to adapt to a fast-paced, product-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by HackerRank badges and project complexities. Participation in the Master Orator Championship suggests good public speaking and communication potential. The internships indicate an ability to work in structured environments and contribute to defined projects. However, the experience level is entry-level, which might require more operational guidance in a senior role.