Dr. Aashi Singh

Architected and deployed scalable, end-to-end cloud-based platforms utilizing TensorFlow, PyTorch, OpenCV, and BERT, achieving 99.9% uptime for real-time visual search and personalization engines.

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.

Contributed crucial AI/ML domain expertise to enhance enterprise training and assessment programs.

Developed cutting-edge curriculum content for emerging technology modules, impacting professional development initiatives.

Evaluated manuscript quality and upheld publication standards in networking and mobile computing.

Contributed to shaping the research direction of the journal, influencing scholarly discourse.

Led technical committees, actively shaping research agendas in AI/ML and computer engineering.

Fostered global collaboration among researchers and practitioners in the field, enhancing knowledge exchange.

Maintained academic rigor and significantly drove the journal's impact factor growth.

Led academic publishing initiatives and shaped the future of research dissemination in AI, networking, and emerging technologies.

Developed and deployed end-to-end predictive analytics, computer vision, natural language processing, and big data solutions on AWS, Azure, and GCP, serving millions of users.

Designed custom ML models for disease prediction (88% accuracy), financial forecasting, and customer segmentation, 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.

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 the 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 over 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.

Guided cross-functional teams to build highly scalable, secure, and production-ready systems, achieving 99.9% uptime and measurable ROI.

Partnered closely with leadership, clients, and stakeholders to translate complex business goals into actionable technical roadmaps.

Drove innovation, platform modernization, and engineering excellence across global client engagements, enhancing technological capabilities.

Designed and implemented robust RESTful APIs, optimized database schemas, and developed responsive user interfaces.

Collaborated closely with cross-functional teams to deliver high-performance, secure, and maintainable solutions.

Contributed significantly to performance optimization, feature enhancements, and production deployments in agile environments.