CV

Education

• Master of Technology in Computer Engineering, Aligarh Muslim University, Aligarh, India (Nov 2021 – Nov 2023), CGPA: 8.80/10.00
• Bachelor of Technology in Computer Science and Engineering, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India (Aug 2017 – Jul 2021), CGPA: 8.04/10.00

Work Experience

• Data Scientist, Quantitative Imaging Research and Artificial Intelligence Lab (QIRAIL), Dept. of Radiation Oncology, Christian Medical College, Vellore (Aug 2024 – Present)
  • Developed ML models for recurrence prediction in Head and Neck Cancer using radiomics and clinical data.
  • Implemented feature selection methods (LASSO, SelectKBest, PSO, GWO, etc.).
  • Contributed to the CHAVI imaging biobank by uploading anonymized DICOM data.
  • Worked on nnU-Net for automatic tumor segmentation (avg. DSC: 0.72).
• Research Analyst, STARlab Capital, Lucknow (Dec 2023 – Jun 2024)
  • Evaluated trading strategies using OptionNet Explorer, Mesosim, OptiTrade.
  • Suggested UI and backend improvements for internal tools.

Projects

• Multimodal Survival Prediction in Cancer, AMU (2022–2023)
  • Developed a deep learning model (MGAttCNNMD) using METABRICS dataset.
  • Combined clinical, gene expression, and CNA data (Accuracy: 91.2%).
• AI for Legal Text Processing, AMU (2022)
  • Topic modeling (LDA) and abstractive summarization of legal texts.

Technical Skills

• Languages: Python, Java, SQL, HTML, CSS
• Frameworks: PyTorch, TensorFlow, Keras, Flask
• Tools: Docker, GitHub Actions, Orthanc PACS, XNAT, CTP, 3D Slicer
• ML/DS: Radiomics, Deep Learning, Feature Selection, Model Optimization
• Others: Bash, YAML, JSON, XML, PostgreSQL

Publications

• Hasan Shaikh & Rashid Ali, “Cancer Survival Prediction Using AI,” Data Science in Medical Field, Elsevier, 2023.
• Hasan Shaikh et al., “CT Radiomics for Recurrence Prediction,” Poster at 14th Research Day, CMC Vellore, 2024.
• Piyus Prabhanjans et al., “Automated Segmentation Using 3D CNN,” Poster at Winter Symposium, CMC Vellore, 2025.
• Manuscript in prep: “Breast Cancer Prognosis using MGAttCNNMD” (with Prof. Rashid Ali).

Conferences / Workshops

• 2nd Winter Symposium on Health Data and AI, CMC Vellore, 2025 (Organizing team)
• Revolution and Precision in Radiation Oncology CME, CMC, 2025
• 14th Annual Research Day, CMC Vellore, 2024
• IEEE CIS Summer School on AI in CV & ML, IIIT Hyderabad, 2023
• AI for Biomedical Imaging, NIT Arunachal, 2022

Awards & Achievements

• 3rd Prize – Oral Presentation, Winter Symposium, CMC, 2025
• Research Abstract Acceptance – 14th Research Day, CMC, 2024
• Honors Degree – Top 1% of graduating UG class, AKTU
• NPTEL Certifications – Data Analytics, Deep Learning, ML (Elite+Silver)

Teaching

No formal teaching experience yet, but actively mentoring juniors and contributing to documentation in collaborative research projects.

Leadership & Service

• Volunteered in multiple research conferences (incl. logistics, registrations, and scheduling)
• Maintainer of CHAVI data pipelines at CMC Vellore
• Active contributor to open-source projects and issue documentation

Referees

Available on request.