AI Engineer with less than a year in Machine Learning, Deep Learning, and Computer Vision.
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Gadiraju Rishitha is an aspiring AI Engineer with a strong academic background in Computer Science and Engineering. She possesses hands-on experience in developing AI-powered solutions, including a video-based anomalous activity summarization system, an AI medical companion, and a posture analysis tool. Her expertise spans Python, Machine Learning, Deep Learning frameworks like TensorFlow and PyTorch, and tools such as OpenCV and Google Colab. Rishitha is a co-inventor of a patent in automated medicine recognition and has actively participated in hackathons, demonstrating her ability to apply AI/ML concepts to real-world problems.
BVRIT HYDERABAD College of Engineering for Women
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Narayana Junior College
Intermediate (MPC Stream)
June 1, 2020 – May 31, 2022
Pragathi Central School
Secondary Education (CBSE)
June 1, 2019 – May 31, 2020
Video Based Anomalous Activity Summarization System
March 1, 2026 – March 1, 2026
Developed a Video Based Anomalous Activity Summarization System for anomaly detection, summarization and report generation. Extracted anomalous frames using OpenCV and YOLOv8 with an accuracy of 75%.
MediNova An AI Medical Companion
June 1, 2025 – June 1, 2025
Built an AI medical companion that provides medicine and pharmaceutical insights from image queries. Integrated OCR and RAG in a Flask web app to deliver reliable healthcare assistance with 80% accuracy.
FitSyncAI AI-Powered Posture Analysis Tool
February 1, 2025 – February 1, 2025
Developed FitSync, a fitness monitoring system leveraging OpenCV for posture detection with 85% accuracy and real time exercise guidance. Implemented corrective feedback mechanisms to enhance workout safety, user performance, and wellness.
Full Stack Development Certificate
Unknown
June 1, 2026 – Present
AI-Powered Medical Chatbot
Unknown
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, covering anomaly detection, medical AI, and posture analysis, which aligns with the broad problem-solving nature often found in AI engineering roles. The involvement in hackathons and workshops demonstrates initiative and a willingness to learn and apply new technologies, which is a positive indicator for cultural fit in a dynamic environment. However, the lack of professional experience limits the assessment of real-world team collaboration and operational fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems and deliver functional prototypes. Participation in hackathons and workshops suggests a proactive and collaborative attitude. However, without specific behavioral assessment data, it is difficult to fully evaluate stress handling, team collaboration, or other soft skills.