Anand Tiwari
Deep Learning Engineer
Thane,MH
Summary
Data Scientist and AI Researcher with over 3 years of experience in computational biology, large language models, and data science. Specialized in developing AI-driven healthcare frameworks, foundation model-based whole slide image (WSI) analysis, and transcriptome-based cancer prediction systems. Experienced in deep learning, computer vision, and MLOps for clinically deployable AI solutions. Proven expertise in leveraging LLMs for clinical text extraction and biomedical data automation.
Deep Learning Engineer with strong expertise in neural networks, computer vision, and natural language processing. Proven ability to deliver impactful results through collaborative team efforts and adaptive problem-solving. Skilled in Python, TensorFlow, PyTorch, and data analysis. Known for reliability, flexibility, and results-driven mindset.
Overview
3
3
years of professional experience
Work History
Deep Learning Engineer
Advanced Centre for Treatment, Research and Education in Cancer (ACTREC)
03.2025 - Current
- Conducting research on foundation models such as UNI-2, Virchow2, ResNet50, and ViT for histopathology.
- Implementing clustering-based annotation and patch-level classification for head and neck cancer WSIs.
- Developing clinically relevant AI pipelines in collaboration with oncologists and pathologists.
- Designed an LLM-based clinical data extraction pipeline using Gemma3-27B via Ollama API to extract structured habit and medical history data from unstructured clinical text.
Scientific Officer (Data Science)
Tata Memorial Hospital (TMH)
02.2024 - 03.2025
- Designed a multiclass transcriptome classification model using TCGA data with 98 percent accuracy.
- Built and deployed ML applications using Streamlit and Flask for real-time cancer prediction.
- Automated RNA-Seq (aira2c) pipelines improving data throughput by 60 percent.
- Delivered AI-driven insights supporting oncology translational research.
Data Science Intern (Computational Pathology and AI)
Aira Matrix Pvt. Ltd.
07.2022 - 02.2024
- Developed U-Net with transformer encoder for nuclei segmentation in liver necrosis datasets.
- Applied morphological preprocessing techniques to enhance dataset quality.
- Managed annotation workflows ensuring high-quality model input data.
Education
M.Sc. - Bioinformatics
University of Mumbai (Guru Nanak Khalsa College)
Mumbai01.2022
B.Sc. - undefined
University of Mumbai (K.J. Somaiya College)
Mumbai01.2019
Interests
Artificial Intelligence in Healthcare, Digital Pathology, Large Language Models, Computational Biology
Accomplishments
- Kaggle Competition: Cell-Specific Drug Response Prediction, ranked 670 out of 1300 teams
- Poster Contribution: ECOP-2025 and NRSM Conference 2024
Timeline
Deep Learning Engineer
Advanced Centre for Treatment, Research and Education in Cancer (ACTREC)
03.2025 - Current
Scientific Officer (Data Science)
Tata Memorial Hospital (TMH)
02.2024 - 03.2025
Data Science Intern (Computational Pathology and AI)
Aira Matrix Pvt. Ltd.
07.2022 - 02.2024
B.Sc. - undefined
University of Mumbai (K.J. Somaiya College)
M.Sc. - Bioinformatics
University of Mumbai (Guru Nanak Khalsa College)