Profile

Sr. Scientist, KIT, Karlsruhe, Germany

Karlsruhe Institute of Technology, Karlsruhe, Germany

Leading research on Large Language Models for Software Engineering, with emphasis on model-driven engineering, intelligent automation, and research collaboration.

• Contributing in the Collaborative Research Centre (CRC) 1608 CONVIDE project as a Sr. Scientist, funded by the Deutsche Forschungsgemeinschaft (DFG).
• Providing intellectual leadership in defining research directions, coordinating interdisciplinary teams, and fostering collaborations across institutions.
• Actively collaborating with leading institutions alongside KIT, TU Munich, University of Mannheim, Ruhr-University Bochum, and TU Dresden to advance research on AI-driven consistency management and CPS engineering.
• Coordinating joint research workshops, contributing to strategic planning, dissemination, and leadership in international research forums.

Member, Board of Governors

AKG Engineering College, Ghaziabad, India

Contributing to strategic governance, policy design, and long-term academic planning for institutional transformation.

• Provide strategic oversight on establishing a new state university, institutional governance, academic policy, research expansion, and long-term growth strategy.
• Advise on curriculum transformation, faculty excellence frameworks, accreditation preparedness, and integration of emerging technologies.
• Strengthen industry-academia linkages, infrastructure planning, and international partnerships to enhance institutional competitiveness and visibility.
• Contribute to high-level decision-making on institutional performance, quality assurance, and strategic positioning within national higher education frameworks.

Professor and Head of the Department

AKG Engineering College, Ghaziabad, India

• Led strategic transformation of the department through outcomes-based academic governance, resulting in the highest number of university rank-holders and gold medalists
• Reengineered the research and innovation ecosystem by strengthening faculty capability, expanding competitive funding participation, and fostering industry–international collaborations aligned with emerging technology domains.
• Mobilized external funding (INR 1.25 Million under AICTE and DST schemes) to advance institutional research priorities in Artificial Intelligence, Data Science, and Industry 4.0.
• Conceptualized and institutionalized industry-integrated Centres of Excellence including, AI CoE, AWS Academy, AR/VR Centre of Excellence, Big Data Centre of Excellence, Google Development Centre, and Centre for Digital Learning.
• Elevated institution’s global visibility by founding two IEEE and Springer International Conferences, positioning the department within global research and innovation networks.

Associate Dean, Innovation & Entrepreneurship (Advisory)

Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India

Advising on innovation strategy, startup ecosystem development, and industry-aligned academic initiatives.

• Provide strategic oversight on establishing a new state university, institutional governance, academic policy, research expansion, and long-term growth strategy.
• Advise on curriculum transformation, faculty excellence frameworks, accreditation preparedness, and integration of emerging technologies.
• Strengthen industry-academia linkages, infrastructure planning, and international partnerships to enhance institutional competitiveness and visibility.
• Contribute to high-level decision-making on university positioning within national higher education frameworks.

Visiting Professor, TalTech, Estonia

Tallinn University of Technology, Tallinn, Estonia

Conducting research in Large Language Models for Software Engineering.

• Providing research leadership in AI-driven Natural Language Processing (NLP) systems
• Contributing to large-scale funded research programmes supported by the Estonian Research Council, Archimedes Foundation, and the European Social Fund.
• Collaborating with interdisciplinary international consortia to develop prototype systems bridging structured data architectures and human-centric digital interfaces.
• Supervising doctoral and Master’s researchers, contributing to research capacity building and advancing trustworthy AI in eID and public digital governance systems.

GFCP Senior Specialist, Nordea Bank Abp, Helsinki, Finland

Nordea Bank Abp, Helsinki, Finland (EU)

• Led cross-functional coordination across technology, compliance, and operations teams, strengthening organizational risk culture and enterprise-wide control environments.
• Provided strategic leadership in enterprise risk analytics, delivering data-driven intelligence to support executive decision-making, governance oversight, and long-term institutional resilience.
• Strengthened enterprise-wide financial crime risk frameworks (AML, sanctions, compliance), identifying systemic vulnerabilities and reinforcing regulatory governance across cross-border operations.
• Established KPI-driven risk dashboards and reporting mechanisms for senior leadership, improving accountability, audit readiness, and regulatory alignment.

Scientific Researcher

Tallinn University of Technology, Tallinn, Estonia

• Involved in securing and managing competitive research funding across multiple European Union–funded projects.
• Played a key role in developing proposals and driving research funding initiatives across Europe.
• Served as a Researcher in the Information Systems Group, contributing to teaching, supervision, and research activities.
• Supervised Bachelor’s and Master’s students and delivered lectures and facilitated seminars at undergraduate and graduate levels across courses on Data Mining and Data Science.

Dean – Innovation, International Affairs & Alumni Relations

AKG Engineering College, Ghaziabad, India

• Architected and institutionalized a comprehensive innovation and entrepreneurship ecosystem, founding the IDEA Lab model, subsequently adopted by AICTE as a national policy framework, catalyzing nationwide replication across higher education institutions.
• Established and led the IPR Cell, creating a structured innovation-to-commercialization pipeline that resulted in 450+ patent filings within two years, including 200+ AICTE KAPILA-funded patents, significantly strengthening institutional research visibility and IP capacity.
• Positioned AKGEC as the No. 1 ranked institution nationally in the Smart India Hackathon (MoE & AICTE), reinforcing a culture of innovation excellence and student-led problem solving.}
• Strengthened global alumni engagement by activating a network of 15,000+ alumni worldwide, launching the Delhi Alumni Chapter, and expanding international alumni platforms to enhance mentorship, philanthropy, and institutional advocacy.
• Forged strategic partnerships with international universities, enabling collaborative research, student mobility, internships, joint programs, and global academic visibility.

Assistant Professor and Head of Big Data Centre of Excellence

AKG Engineering College, Ghaziabad, India

• Delivered undergraduate teaching in Data Mining, Data Science, and Database Systems, integrating research-led and industry-aligned pedagogical approaches.
• Established and Led the Big Data Centre of Excellence, advancing applied analytics training, industry engagement, and emerging technology adoption in data-driven systems.
• Contributed to curriculum design, program development, and academic quality enhancement initiatives, aligning courses with evolving technological and industry standards.
• Engaged in academic outreach, conferences, and technology forums to strengthen industry-academia linkage and incorporate best practices into teaching and research.

Assistant Professor and Head of Big Data Centre of Excellence

RKG Institute of Technology, Ghaziabad, India

• Conducting lectures for undergraduate students in various subjects of computer science and information technology.
• Making an effective contribution to teaching and learning in the discipline of computer science, modeling teamwork and flexibility to ensure the educational and commercial success of the faculty and University.
• Supervising undergraduate students, participating in scholarly activities that influence and enhance learning and teaching at the University.

Software Engineer

HCL Technologies, Noida, India

• Developed and maintained enterprise software solutions for clients, ensuring timely delivery and adherence to quality standards.
• Collaborated with cross-functional teams to design, implement, and test modules, improving overall system efficiency.
• Optimised existing codebases, resulting in improved performance and reduced execution time.
• Participated in requirement analysis and provided technical inputs for solution design, enhancing client satisfaction.

Software Engineer

NG Tech Soft Pvt. Ltd., Noida, India

• Implemented and supported SQL Server high-availability topologies (Windows Server Failover Clustering, Database Mirroring, Log Shipping) to meet client SLAs for uptime and recovery.
• Diagnosed and tuned performance bottlenecks using execution plan analysis, DMVs, SQL Profiler traces, and the Database Engine Tuning Advisor; optimized indexing and queries to improve throughput and reduce latency.
• Automated routine DBA tasks (backups, index maintenance, integrity checks, alerts) with T-SQL jobs and scripts, strengthening reliability and recoverability.
• Authored runbooks, root-cause analyses, and performance reports, improving incident response and stakeholder visibility.

Post Doctoral Fellowship

Karlsruhe Institute of Technology, Karlsruhe, Germany

LLMs for Model Driven Software Engineering

• LLM4SE

Ph.D.

Tallinn University of Technology, Tallinn, Estonia

Artificial Intelligence

M.Tech.

Uttar Pradesh Technical University (UPTU)

Computer Science Engineering

B.Tech.

Uttar Pradesh Technical University (UPTU)

Computer Science Engineering

Utilizing Continuous Time Markov Chain for Analyzing Video-on-Demand Streaming in Multimedia Systems

Expert Systems with Applications

This work applies Continuous Time Markov Chain modeling to analyze video-on-demand streaming behavior in multimedia systems, enabling performance evaluation and optimization of streaming services under varying user demand conditions.

A Novel Framework for Unification of Association Rule Mining, Online Analytical Processing and Statistical Reasoning

IEEE Access

This paper proposes a unified analytical framework integrating association rule mining, OLAP, and statistical reasoning, enabling comprehensive data analysis and decision-making across heterogeneous data systems.

Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors

IEEE Access

This study introduces a machine learning-based methodology for multiclass classification of malignant brain tumors, improving diagnostic accuracy and supporting clinical decision-making.

An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining

IEEE Access

This work provides a comprehensive evaluation of swarm intelligence algorithms in numerical association rule mining, analyzing their effectiveness across multiple dimensions and real-world datasets.

Mobile Smart Contracts: Exploring Scalability Challenges and Consensus Mechanisms

IEEE Access

This paper investigates scalability challenges in mobile smart contracts and explores consensus mechanisms to enhance performance and reliability in decentralized systems.

The Catalyst Award

Recognized for innovation leadership and institutional transformation impact

Best Teacher Award

Awarded for excellence in teaching and academic mentorship

International Research & Collaboration Recognition

Recognition through participation in EU-funded projects and international research collaborations

Academic Leadership & Governance Roles

Appointment to Board of Governors and advisory roles in innovation and entrepreneurship