Distinguished Principal AI/ML Research Scientist and Product Architecture Leader with 5+ years of expertise in designing and deploying intelligent systems across healthcare, finance, eCommerce, and smart technologies. Recognized for 38 peer-reviewed publications and successful commercialization of AI-driven SaaS platforms serving 500K+ monthly users. Expert in computer vision, deep learning, and cloud architecture, driving innovation from fundamental research to high-impact commercial solutions.
Director, AI/ML Product & Architecture
Jhansi, Uttar Pradesh, India
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Summary
Led the founding and growth of an AI/ML SaaS company specializing in visual intelligence solutions for eCommerce, supporting 500K+ monthly API calls.
Highlights
Architected and deployed scalable, end-to-end cloud-based platforms utilizing TensorFlow, PyTorch, OpenCV, and BERT for real-time visual search and personalization engines, achieving 99.9% uptime.
Directed strategic product roadmap, technical architecture, and go-to-market strategies, securing initial funding and establishing key partnerships with major eCommerce platforms across India and Southeast Asia.
Built and led an interdisciplinary R&D team of 12+ ML engineers, full-stack developers, and UX designers to deliver production-grade SaaS solutions on AWS/Azure infrastructure.
Designed and optimized recommendation algorithms, improving user engagement metrics by 35%+ and achieving 92%+ accuracy across diverse product catalogs spanning 1M+ SKUs.
Established scalable MLOps pipelines for continuous model training, A/B testing, and deployment, reducing time-to-production from weeks to 48 hours while maintaining model performance.
Principal AI/ML Specialist & Full-Stack Architect
Mumbai, Maharashtra, India
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Summary
Delivered 30+ AI/ML solutions and full-stack applications for Fortune 500 companies and innovative startups across healthcare, finance, retail, and technology sectors with 95%+ client satisfaction rating.
Highlights
Specialized in developing and deploying end-to-end predictive analytics, computer vision, natural language processing, and big data solutions on AWS, Azure, and GCP, serving millions of users.
Developed custom ML models for disease prediction (88% accuracy), financial forecasting, customer segmentation, and recommendation engines, driving 25-40% ROI improvements.
Built production-grade web and mobile applications using React, Node.js, Python/Django, and modern cloud architectures, implementing microservices, containerization, and CI/CD pipelines.
Provided strategic technical consulting on AI transformation and data infrastructure for 15+ organizations, leading to successful pilot deployments and scalable production systems.
Conducted deep technical assessments, feasibility studies, and proof-of-concept implementations for emerging AI technologies including generative models, reinforcement learning, and edge AI.
Assistant Professor & Research Mentor
Gwalior, Madhya Pradesh, India
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Summary
Led graduate and undergraduate courses in AI/ML, computer vision, image processing, cloud computing, and data structures for 100+ students annually, developing industry-aligned curriculum adopted by peer institutions.
Highlights
Supervised and mentored 15+ graduate research scholars in cutting-edge AI/ML research, resulting in 5 co-authored publications in peer-reviewed journals and conferences.
Trained research scholars in systematic literature review, experimental design, and academic writing, preparing them for doctoral programs and industry research roles.
Served as Program Committee Member and Reviewer for international conferences including 7th International Conference on Communication and Computational Technologies (2023), CML 2025, and BIDA 2025.
Delivered expert lectures at 10+ premier universities and technical institutions on AI/ML applications, reaching 2,000+ students and faculty.
Collaborated with industry partners on applied research projects in healthcare AI and smart city technologies, securing competitive research grants totaling ₹2.5M+ from government and private sources.
Established the university's first AI/ML research lab equipped with GPU clusters and cloud computing infrastructure, facilitating 20+ student and faculty research projects.
Ph.D.
Computer Science and Engineering
Courses
AI/ML and Advanced Image Processing for Intelligent Systems
Computer Vision
Deep Learning
Healthcare AI
Master of Engineering (M.E.)
Computer Science and Engineering
Grade: Distinction-level academic performance
Courses
Machine learning algorithms
Pattern recognition
Bachelor of Engineering (B.E.)
Computer Science and Engineering
Grade: with honors
Courses
Algorithms
Data structures
Software engineering
Awarded By
Government of Madhya Pradesh
Recognized for outstanding contributions to AI/ML research and innovation in computer vision and intelligent systems.
Awarded By
National Programme on Technology Enhanced Learning
Recognized for excellence in online pedagogy, course development, and student engagement in AI/ML education.
Awarded By
Upwork
Achieved 95%+ client satisfaction for delivering 30+ successful AI/ML projects across healthcare, finance, and technology sectors.
Awarded By
Institute of Electrical and Electronics Engineers
Leading technical committees, shaping research agendas, and fostering collaboration in AI/ML and computer engineering.
Published by
Apple Academic Press
Summary
Contributing author to multiple book chapters in the Apple Academic Press series on artificial intelligence, machine learning, sustainable technologies, and biomedical engineering, contributing cutting-edge research insights.
Published by
Apple Academic Press
Summary
Comprehensive 450+ page guide covering end-to-end data science methodologies, ML algorithms, deep learning architectures, and AI system development for practitioners and researchers, including hands-on case studies in healthcare, finance, and smart cities with Python implementations.
Summary
Novel approach to secure IoT data collection in urban environments, addressing critical infrastructure challenges with blockchain-enabled authentication.
Published by
Apple Academic Press
Summary
Advanced NLP application for financial market analysis using state-of-the-art transformer models, demonstrating 23% improvement over baseline methods.
Summary
ATS-optimized resume generation platform using supervised learning, achieving 40% improvement in applicant tracking system scores and deployed with 10K+ active users.
Summary
Clinical decision support system with 91% accuracy, potentially improving neonatal care outcomes and reducing infant mortality in resource-constrained settings.
AI/ML Research, Computer Vision, Deep Learning, Image Processing, Research Mentorship, BERT/NLP Models, Predictive Analytics, Big Data.
System Design, SaaS Platforms, Cloud Computing, Full-Stack Development, MLOps, Microservices, Containerization, CI/CD Pipelines.
Team Leadership, Product Strategy, Stakeholder Management, Funding Acquisition, Academic-Industry Partnerships, Strategic Planning, Innovation Strategy.
Python, C++, MATLAB, JavaScript/TypeScript, SQL, R, Java, Scala, TensorFlow, PyTorch, OpenCV, Scikit-Learn, AWS (EC2, S3, Lambda, SageMaker), Azure ML, GCP AI Platform, Docker, Kubernetes, Jenkins, GitLab CI/CD, MLflow, DVC, React, Angular, Node.js, Django, Flask, FastAPI, REST APIs, GraphQL, MongoDB, PostgreSQL, Redis, Pandas, NumPy, SciPy, Matplotlib, Seaborn, Plotly, Tableau, Power BI, Apache Spark, Hadoop.
Healthcare AI, Financial Analytics, eCommerce Tech, Smart Cities/IoT, Biomedical Engineering.
BERT, GPT, Transformers, spaCy, NLTK, Word2Vec, Sentiment Analysis, Named Entity Recognition, Text Classification.
Blockchain (Ethereum, Smart Contracts), IoT Platforms, Edge AI, Federated Learning, Recommendation Systems, AutoML, Generative Models, Reinforcement Learning.
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Summary
Designed and deployed a visual intelligence SaaS platform for eCommerce, encompassing image-based search, personalized recommendations, product classification, and virtual try-on systems.
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Summary
Architected an ML-powered web application for ATS-optimized resume generation using supervised learning models.
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Summary
Built an award-winning underwater image enhancement framework using multi-fusion techniques and GANs.
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Summary
Created an IoT-based smart home automation system with ML-driven elderly care monitoring.
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Implemented crypto-ransomware detection models with 94% accuracy for encrypted network traffic analysis.
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Architected a blockchain-enabled NFT marketplace with smart contracts.
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Summary
Designed and implemented end-to-end MLOps pipelines using Docker, Kubernetes, MLflow, and CI/CD tools.
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Summary
Developed a mental health prediction system combining LSTM neural networks and ensemble methods.