Hemanth Thota

Results-driven and detail-oriented AI enthusiast with experience in developing AI-powered Resume Screening systems using Machine Learning and Natural Language Processing (NLP). Skilled in resume parsing, candidate ranking, keyword matching, and ATS optimization to streamline recruitment processes. Proficient in Python, data analysis, and AI model integration with a strong ability to improve hiring efficiency and accuracy.

Passionate about building smart recruitment solutions that enhance candidate evaluation and decision-making.

Full Stack Web Development with AI - Our Project In modern recruitment, organizations receive a large number of job applications for each position. Manually checking resumes is time-consuming. HR professionals often struggle to efficiently evaluate candidate skills, qualifications, and experience against job requirements.

Additionally, conducting initial interviews for all applicants increases workload and delays the hiring process. To address these challenges, an AI-powered Resume Screener and Interview Agent can be developed using technologies like Artificial Intelligence, Machine Learning, and Natural Language Processing.

The system works as follows: It automatically scans and analyzes resumes to extract key information such as skills, education, and experience. It compares candidate profiles with job requirements and shortlists the most suitable applicants. An integrated chatbot or interview agent conducts basic HR and technical interviews using predefined questions.

The system records responses, evaluates candidates, and generates scores and rankings. It provides detailed reports to help HR teams make faster and more accurate hiring decisions.

Btech - Teegala krishna reddy

Intermediate - Telangana state model school junior college

10th - Telangana state model school