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Hire Dr. Resham Raj S.

India

USD 65 /hr

PhD AI Research Engineer | Medical Imaging & Computer Vision | LLM Evaluation & RLHF Specialist

Profile Summary

PhD-trained AI Research Engineer specializing in medical image analysis, computer vision, and large language model (LLM) evaluation. My doctoral research at NIT Raipur built high-performance, explainable AI systems for lung-nodule detection and CT-based lung cancer risk assessment, including hybrid and quantum-enhanced feature-engineering pipelines. I bring a rare combination of deep research credibility and hands-on engineering: 8+ peer-reviewed SCIE/ESCI publications, an IEEE Best Paper Presentation Award (SPA 2023), and peer-reviewer roles for 10+ international journals including PLOS ONE and Computers in Biology and Medicine. On the applied side, I have delivered RLHF training data and expert evaluation for frontier LLM workflows (mathematical/reasoning-intensive outputs) as a remote contributor, led a UAV-based disaster-management platform integrating computer vision and edge AI (NVIDIA Jetson, LiDAR, sensor fusion), and taught applied computer vision and cloud computing at the university level. I can help you with: Medical image classification & segmentation (CT, X-ray, ultrasound) — detection, diagnosis, radiomics Explainable AI / interpretability for clinical decision support Computer vision pipelines (object detection, YOLO, CNNs, image processing) LLM evaluation, RLHF, prompt/reasoning assessment, model alignment & quality review Edge AI deployment (Jetson, Docker, real-time inference) Scientific writing, methodology design, reproducibility, and peer-review support for IEEE/SCIE journals Core stack: Python, PyTorch, TensorFlow, Keras, scikit-learn, Hugging Face, OpenCV, ONNX. Available immediately for remote projects with flexible time-zone overlap.

Subject Matter Expertise

• ☆ Computer Science
• ☆ Quantum Computing
• ☆ Parallel Computing
• ☆ Computer-Aided Engineering
• ☆ Bioinformatics
• ☆ Structural Bioinformatics
• ☆ Embedded Systems
• ☆ Decision Science
• ☆ Information & Knowledge Management
• ☆ Health Technology Assessment
• ☆ E-Health & Telemedicine
• ☆ Entrepreneurship

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Market Research, Meta-Research, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review

Consulting Business Strategy Consulting, Digital Strategy Consulting, Healthcare Consulting, Operations Consulting, Scientific and Technical Consulting

Data & AI Statistical Analysis, Image Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics

Product Development Product Evaluation, Product Validation, Product Compliance

Work Experience

Principal Project Associate

Indian Institute of Technology Bhilai

December 2024 - March 2025

Junior Research Fellow

National Institute of Technology Raipur IN

December 2017 - August 2019

M. Tech. Trainee

CSIO

August 2015 - June 2016

Education

PhD (Department of Biomedical Engineering)

National Institute of Technology Raipur

August 2019 - July 2024

M.Tech (Embedded system)

CDAC

August 2014 - June 2016

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Resham Raj Shivwanshi, Neelam Shobha Nirala (2025). A hybrid AI method for lung cancer classification using explainable AI techniques . Physica Medica.

Resham Raj Shivwanshi, Neelamshobha Nirala (2024). Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment . Biomedical Physics & Engineering Express.

Resham Raj Shivwanshi, Neelamshobha Nirala (2023). Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment . Physics in Medicine & Biology.

Shivwanshi, Resham Raj, Nirala, Neelamshobha (2023). Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment . Physics in Medicine and Biology.

Resham Raj Shivwanshi, Neelamshobha Nirala(2023). Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment . Physics in Medicine & Biology. {IOP} Publishing

Shivwanshi, Resham Raj, Nirala, Neelamshobha (2023). Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment . Physics in Medicine and Biology.

Resham Raj Shivwanshi, Neelamshobha Nirala (2022). Concept of AI for acquisition and modeling of noninvasive modalities for BCI . Artificial Intelligence-Based Brain-Computer Interface.

Shivwanshi, R.R., Guhan Seshadri, N.P., Periyasamy, R. (2021). Multispectral NIRS System Design to Analyze Hemoglobin Concentration on Plantar Foot Surface . Advances in Biomedical Engineering and Technology. Select Proceedings of ICBEST. Lecture Notes in Bioengineering (LNBE).

Role of artificial intelligence in industries for advanced applications .

CONFERENCE PAPER

Resham Raj Shivwanshi, Neelamshobha Nirala(2023). Implementation of an advanced lung nodule classification system using optimized ConvMixer and AdamW-based CNN architecture . 2023 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA). {IEEE}

Shivwanshi, R.R., Nirala, N. (2023). Implementation of an advanced lung nodule classification system using optimized ConvMixer and AdamW-based CNN architecture . International Conference on Software, Telecommunications and Computer Networks.

Resham Raj Shivwanshi, Neelamshobha Nirala(2021). Enhancement and Segmentation Methods for Lung Cancer Detection System: A Review of A Retrospective Study . 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). {IEEE}

Resham Raj Shivwanshi, Neelamshobha Nirala(2021). Enhancement and Segmentation Methods for Lung Cancer Detection System: A Review of A Retrospective Study . 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). {IEEE}

Resham Raj Shivwanshi and Neelamshobha Nirala(2021). Parametric Analysis of CT-image-Preprocessing for Improved Performance of Post-Processing Operation . 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART). {IEEE}

Shivwanshi, R.R., Nirala, N. (2021). Parametric Analysis of CT-image-Preprocessing for Improved Performance of Post-Processing Operation . International Conference on System Modeling & Advancement in Research Trends (SMART).

Shivwanshi, R.R., Nirala, N. (2021). Enhancement and Segmentation Methods for Lung Cancer Detection System: A Review of A Retrospective Study . International Conference on Advances in Computing, Communication Control and Networking (ICAC3N).

Pankaj Jain, Resham Raj Shivwanshi, Neelamshobha Nirala, Saurabh Gupta(2020). SumNet Convolution Neural network based Automated pulmonary nodule detection system . 2020 IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI). {IEEE}

Jain, P., Raj Shivwanshi, R., Nirala, N., Gupta, S. (2020). SumNet Convolution Neural network based Automated pulmonary nodule detection system . IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI).

Shivwanshi, R.R., Guhan Seshadri, N.P., Periyasamy, R.(2018). A Review of Present and Futuristic Development of Near Infrared Spectroscopy System in the Assessment of Diabetic Foot Risk . Proceedings of the 4th International Conference on Biosignals, Images and Instrumentation, ICBSII 2018.

Resham Raj Shivwanshi, N P Guhan Seshadri, R Periyasamy (2018). A Review of Present and Futuristic Development of Near Infrared Spectroscopy System in the Assessment of Diabetic Foot Risk . Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII).

Shivwanshi, R.R., Ahuja, C., Abrol, P., Singh, B.(2016). Design and development of wireless sensor network for biomedical application . Proceedings - 2016 International Conference on Advances in Computing, Communication and Automation (Fall), ICACCA 2016.

Shivwanshi, Resham Raj, Ahuja, Chandni, Abrol, Preeti, Singh, Balwinder (2016). Design and Development of Wireless Sensor Network for Biomedical Application . International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall).

BOOK CHAPTER

Shivwanshi, Resham Raj, Nirala, Neelamshobha (2023). Role of artificial intelligence in industries for advanced applications . Advanced Signal Processing for Industry 4.0.

Resham Raj Shivwanshi and Neelamshobha Nirala(2022). Concept of AI for acquisition and modeling of noninvasive modalities for BCI . Artificial Intelligence-Based Brain-Computer Interface. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 121--144. Elsevier

BOOK

Shivwanshi, R.R., Guhan Seshadri, N.P., Periyasamy, R.(2021). Multispectral nirs system design to analyze hemoglobin concentration on plantar foot surface . Lecture Notes in Bioengineering. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 401-412.