01
Medical Image Analysis
Deep learning for MRI, chest X-ray, and clinical imaging interpretation. Cardiac segmentation and respiratory disease detection.
Assistant Professor · Goa Institute of Management
Building responsible AI for healthcare, education & decision science.
PhD · IIT (BHU) Varanasi · Biomedical Engineering
Working at the intersection of machine learning, medical imaging,
explainable AI, and management-focused data science.
Healthcare AI
XAI Research
MLOps
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Publications
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Yrs. Experience
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FDPs & MDPs
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Healthcare AI◆
Medical Imaging◆
Explainable AI◆
Computer Vision◆
Deep Learning◆
MLOps◆
Data Science◆
Management Analytics◆
Faculty Development◆
Healthcare AI◆
Medical Imaging◆
Explainable AI◆
Computer Vision◆
Deep Learning◆
MLOps◆
Data Science◆
Management Analytics◆
Faculty Development◆
01 — About
Engineering depth.
Human purpose.
I hold a PhD in Biomedical Engineering from IIT (BHU), Varanasi, where my research examined transfer learning for COVID-19 classification and weakly supervised cardiac MRI segmentation. My MTech is from NIT Kurukshetra, my BTech from GBTU Lucknow.
Today I serve as Assistant Professor, Big Data Analytics at Goa Institute of Management, designing and delivering analytics, AI, and healthcare-focused courses for the next generation of data-informed managers.
My work sits at the crossroads of responsible AI system design, clinical decision support, and management education — with a constant thread of translating rigorous research into real-world action.
AI in Healthcare
Machine Learning
Computer Vision
Healthcare Analytics
MLOps
Explainable AI
Faculty Development
GenAI
Deep Learning
Transfer Learning
PhD · Biomedical Engineering
IIT (BHU), Varanasi
Transfer learning · Cardiac MRI · COVID-19 AI
MTech · Biomedical Engineering
NIT Kurukshetra
Signal processing · Medical imaging
BTech · Electronics & Communication
GBTU, Lucknow
ECE foundations · Digital systems
"Bridging the gap between AI theory and healthcare impact — one algorithm, one classroom, one decision at a time."
02 — Research
Core areas of inquiry
Six interconnected domains shaping responsible, impactful AI systems.
02
Explainable & Ethical AI
Designing transparent, robust AI systems that clinicians and managers can trust — with accountability and fairness baked in.
03
Applied Data Science
Connecting statistical learning and AI workflows to healthcare, business, and policy questions where real decisions are made.
04
Pedagogy & Learning Innovation
Leveraging GenAI and analytics-enabled teaching methods to improve learning design, faculty development, and management education.
05
Industry-Oriented Analytics
Executive and practitioner-facing training that converts analytics theory into tangible organizational decision value at scale.
06
Production-Ready AI Workflows
Integrating cloud, reproducibility, CI/CD, and MLOps thinking into every data science project — from notebook to deployment.
03 — Experience
Academic & professional
trajectory
2024 – Present
Assistant Professor, Big Data Analytics
🎓 Academic Goa Institute of Management, Goa
Current
Teaching healthcare analytics, AI-oriented management courses, MLOps, logical reasoning, AR/VR, sports analytics, and emerging technology modules for PGDM learners. Active in FDP and MDP delivery.
2023
Assistant Professor
🎓 Academic ATLAS SkillTech University, Mumbai
Taught statistics, calculus, industrial analytics, and technology-oriented interdisciplinary courses. Contributed to curriculum design and student mentorship.
2022 – 2023
Faculty · Data Engineering & AI
🏢 Industry uGDX / INSOFE, Hyderabad
Hands-on delivery of Python, SQL, machine learning, computer vision, cloud workflows, DevOps fundamentals, and big data tools to professional and graduate cohorts.
2015 – 2021
PhD Research · Biomedical Engineering
🔬 Research IIT (BHU), Varanasi
Doctoral research on transfer learning for COVID-19 chest X-ray classification and weakly supervised segmentation for cardiac MRI. Multiple journal and conference publications.
04 — Publications
Selected scholarly work
Peer-reviewed journals, international conferences, and book chapters.
Cascaded model for weakly supervised segmentation of cardiac MRI
IETE Technical Review · Taylor & Francis
Novel cascaded deep learning architecture for weakly supervised cardiac MRI segmentation with minimal annotation overhead — advancing automated cardiac diagnostics.
Technological advances in alternate drug discovery
Current Trends in Biotechnology and Pharmacy
Comprehensive review of emerging computational and AI-driven approaches to drug discovery, virtual screening, and ML-guided synthesis pathways.
Detection of COVID-19 infection using transfer learning
Technology and Health Care · IOS Press
Transfer learning framework for robust COVID-19 detection from chest radiographs. High sensitivity and specificity across multiple pretrained architectures.
Deep learning-based classification of chest X-rays
Cogent Engineering · Taylor & Francis
Systematic deep learning pipeline for multi-class chest X-ray classification, benchmarking VGG, DenseNet, and Inception architectures across pathology categories.
Deep learning for brain stroke detection
ICBME 2019 · Singapore
CNN-based detection of ischemic brain stroke from neuroimaging data, with clinical validation insights and real-time screening applicability.
Modified Pan-Tompkins algorithm for arrhythmia detection
BiTERM · IIT Delhi
Optimized QRS-complex detection algorithm improving arrhythmia identification accuracy under noisy ECG signal conditions.
Neuroimaging tools for blockage identification
Springer Singapore
Survey of computational neuroimaging tools and pipelines for vascular blockage detection, with emphasis on deep learning integration.
05 — Teaching
From classroom to
boardroom
Bridging rigorous analytics education with real-world management relevance.
Academic Courses
- Healthcare AnalyticsAI applications in clinical decision-making
- Sports AnalyticsData-driven performance analysis
- MLOps FundamentalsProduction-ready ML pipelines
- Operations Strategy in the AI EraAI-augmented operational decision-making
- Logical Reasoning & Critical ThinkingStructured analytical frameworks
- AR/VR & Emerging Tech for ManagementImmersive technologies in business contexts
FDPs & MDPs
- GenAI & Pedagogical InnovationFaculty development on AI-integrated teaching
- AI for Railways & Applied AnalyticsIndustry MDP for rail sector professionals
- Data Visualization & Decision-MakingWorkshops for analytics practitioners
- Corporate & Executive AI LearningAnalytics fluency for senior managers
- Hands-On Tool SessionsPython, Power BI, SQL for practitioners
Teaching philosophy
"Every technical concept taught to a manager must arrive with a decision they can make, or it is not yet finished."
06 — Projects
Applied work beyond
the classroom
Cardiac MRI Segmentation
Weakly supervised cascaded deep learning pipeline for automated cardiac structure segmentation from MRI sequences — reducing annotation burden for clinical deployment.
PyTorchU-NetDICOMWeakly Supervised
COVID-19 Chest X-Ray Classifier
Transfer learning framework for multi-class respiratory disease detection from chest radiographs. Published in IOS Press Technology and Health Care.
TensorFlowResNetDenseNet
Brain Stroke Detection
CNN-based detection of ischemic stroke from neuroimaging data. Presented at ICBME 2019, Singapore.
KerasMRI/CTGrad-CAM
Arrhythmia Detection System
Modified Pan-Tompkins QRS detection with improved sensitivity under noisy ECG conditions. Presented at BiTERM, IIT Delhi.
MATLABSignal ProcessingECG
GenAI-Enabled Teaching Frameworks
Designed FDP curricula integrating generative AI tools into pedagogy — helping faculty reimagine course delivery, assessment, and learner engagement.
GenAILLMsEdTech
Industry Analytics Pipelines
End-to-end data engineering and analytics workflows for MDP participants covering Python, SQL, Spark, Docker, and cloud orchestration.
PythonSparkDockerAWS
07 — Skills & Tools
Technical depth,
applied breadth
AI & Machine Learning
PyTorchTensorFlowKerasScikit-learnXGBoostOpenCVHugging Face
Data Science & Analytics
PythonRSQLPandasNumPyMatplotlibPower BI
MLOps & Engineering
DockerMLflowGitCI/CDAWSGCPApache Spark
Domain & Research
Medical ImagingDICOMXAITransfer LearningNLPHealthcare Analytics
08 — Contact
Open to meaningful
conversations
Whether you're looking to collaborate on research, invite me for a talk, discuss faculty opportunities, co-design an executive program, or explore applied AI consulting — I'd love to hear from you.