About

Hi, I am Abdur Rahman Ansari — aspiring AI Researcher who loves to innovate intelligent machines. I build models that power real-time impact from research-backed engineering to designing scalable ML pipelines. Have experience with Deep Learning, Embedding Algorithms, LLMs, Bioinformatics, C Programming and Statistics.

Experience

Open-Source Contributor - While being on a job hunt, dedicating my time to open-source AI research and development. Contributing to ML libraries, Deep Learning platforms, released tools on PyPI, Papers and open collaboration for research.

Deep Learning Research Intern at IBAB – Designed mutation embedding pipeline with Autoencoder and custom loss function, along with reinforcement classification based ASD prediction using LSTM on genomics data.

MLOps Intern at SRET, SRIHER – Developed real-time breast cancer cell detection system using ML powered image segmentation algorithm on custom PCB, mounted on microscope having tissue slide.

Publication(s) and Open-Source Contributions

• HuggingFace Model GvEM - Genomic Variant Embedding Model, using Transformer + Attention heads on custom built data architecture providing robust mutation embedding and representation learning
• MTC_Count - Python module for metastatic cell identification using gaussian filtrations + canny edging + graded segmentations
• Review Paper - Cytogenomics and Bioinformatics Applications

Projects

• OSCC_Detection - Stacked multi-model architecture with voted ensemble learning for oral cancer detection.
• HealthBot - An NLP integrated WebApp with TensorFlow + Scikit + Streamlit trained on Indian medical records for providing healthcare recommendations(Prototype only).
• Cat2Embed - Smart embedding framework for categorical features using Clustering + PyTorch Embedding.
• PSO_GEA - PSO optimization on genetic algortihm for gene based brain cancer subtype classification.