K. Reshma Reddy

AI-Powered Researcher | Machine Learning & Image Analysis Expert | PhD in Clinical Embryology | [hidden]+ Years of Experience

Summary

A Researcher with a BSc in Biotechnology and an MSc in Molecular and Human Genetics, currently pursuing a PhD in AI-driven embryo image processing. With over [hidden] years of experience in genetic counseling, research, and teaching, specializes in integrating artificial intelligence to enhance embryo grading and selection in IVF. Passionate about advancing reproductive technology through innovative AI applications, bridging the gap between biomedical research and clinical practice.

Education

• [hidden], 2022 – Pursuing – Garden City University
• [hidden], 2020 – 2022 – Garden City University
• [hidden], 2017 – 2022 – Maharani Lakshmi Ammanni College

Work Experience

Senior Consultant – Program Manager – Glory Dots Tech LLP (Oct 2024 – Jan 2025)

• Managed and designed Continuing Medical Education (CME), Continuing Dental Education (CDE), and Continuing Medical (CM) programs.
• Coordinated educational initiatives and training programs for healthcare professionals.

Genetic Faculty – Garden City University (March 2023 – March 2024)

• Delivered lectures on genetics and molecular biology to undergraduate and postgraduate students.
• Supervised student research projects, providing academic mentorship.

Counselor – Cryoviva Biotech Pvt Ltd (June 2022 – Jan 2023)

• Educated prospective clients on the benefits of stem cell banking for genetic disorder treatment.
• Provided scientific counseling to parents regarding umbilical cord blood preservation.
• Boosted sales performance through strategic counseling and engagement.

Projects

1. AI Model for Grading Day 3 and Day 5 Human Embryos

Developing an AI model to automate grading of Day 3 and Day 5 preimplantation embryos using image analysis, focusing on expansion, inner cell mass, and trophectoderm layers.

Technologies Used: Python, PyTorch, ResNet, Inception, Image Processing, Data Augmentation, Transfer Learning, Model Optimization.

2. Artificial Intelligence for Embryo Selection in IVF

Conducted a systematic review on AI-driven embryo selection in IVF, focusing on the application of machine learning (CNNs) for automating embryo grading to enhance IVF success rates.

Technologies Used: Python, PyTorch, OpenCV, and transfer learning models (ResNet, Inception), implementing data augmentation and cross-validation for improved accuracy and performance.

Publications

• K Reshma, Elamathi N, 2025. Image Analysis in Life Sciences: Exploring Applications and Enhancements through Machine Learning, International Journal of Research and Analytical Reviews, Volume 12 | Issue 1 | January 2025, Page No: 756-767 (