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AI Engineer with less than a year in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a passionate Data Science and AI enthusiast with hands-on experience in Machine Learning and Deep Learning. I have built and deployed various models for forecasting and object detection. My technical proficiency includes programming with Python, SQL, and utilizing advanced techniques for data analysis and visualization. I aim to leverage my skills in innovative projects that contribute to technological advancements.
Rajiv Gandhi University of Knowledge Technologies Ongole
Bachelor of Technology in Electronics and Communication Engineering · Electronics and Communication Engineering
August 1, 2020 – June 30, 2024
RGUKT Ongole
Pre-University Course
August 1, 2018 – June 30, 2020
Z.P.H. School, Chinnapuram
Secondary Education
June 1, 2017 – May 31, 2018
Optimizing Inventory and Demand for Apparel Retail Success
June 1, 2024 – June 1, 2026
Built a time-series demand forecasting pipeline using ARIMA and SARIMA to reduce overstocking and stockouts. Cleaned and analyzed retail sales data using Python and Pandas, handling missing values and outliers to improve data quality. Performed EDA to identify seasonal and category-level sales trends using Matplotlib and Seaborn. Deployed interactive forecasting dashboards using Streamlit to support inventory planning.
Detecting and Counting Hazardous Substances in Metal Scrap
June 1, 2024 – June 1, 2026
Designed a YOLOv8-based computer vision system to automatically detect and count hazardous substances in metal scrap. Curated, labeled, and augmented image datasets using Roboflow, improving model robustness and accuracy. Trained and fine-tuned a YOLOv8n deep learning model for real-time object detection, reducing manual inspection effort. Deployed the model using Streamlit for real-time inference and visualization.
Highway Inspection and Maintenance Using AI
June 1, 2024 – June 1, 2026
Developed an AI-powered highway inspection system using computer vision and deep learning to automate defect detection. Reduced manual inspection time by 70% through real-time analysis using Python and OpenCV. Built YOLOv8n and YOLOv9c object detection models to identify road elements, achieving over 95% mAP. Processed and augmented 2,000+ images using Roboflow to improve model generalization.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI to solve real-world problems across different domains (manufacturing, retail, infrastructure). This diversity of application, combined with a clear focus on AI/ML technologies, aligns well with an AI Engineer role. The candidate's academic background in Electronics and Communication Engineering provides a solid technical foundation. The projects show initiative and a drive to build and deploy, which are positive indicators for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical problems and deploy solutions, suggesting a results-oriented approach. Collaboration is mentioned in the experience section, indicating an understanding of team dynamics. However, without specific behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.