Feb 2024 – Feb 2025 · 1 yr · Dublin, County Dublin, Ireland · Hybrid

• ▪ Mastercard Foundry Team (R&D— AI Engineering | Data Science and Analytics) - enterprise wide global R&D function for enterprise for innovation and de-risking adoption of emerging technologies
• ▪Led the end-to-end development and deployment of two Generative AI applications within a tight six-month timeline, transforming ideas into production-ready pipelines that enhanced operational efficiency and delivered innovative, customer-centric solution
• ▪ Guided and Led a globally distributed AI team and vendor scrum teams, delivering scalable AI solutions and accelerating project timelines
• ▪ Designed, built and maintained robust AI engineering pipelines and AI service endpoints for open banking and fiat-crypto AML solutions
• ▪ Primary inventor on 14 IDFs in Generative AI and applied AI, driving innovation in the payment industry
• ▪ Filed 12 patent applications in a single year, averaging one per month, collaborating with diverse co-inventors to push the boundaries of AI-driven innovation
• ▪ Recognized speaker on AI and Generative AI topics at internal forums and external events, showcasing thought leadership and strengthening organizational influence in the AI domain
• ▪ Co-led the creation of an executive-sponsored R&D accelerator program, transforming PoC acceleration into a structured initiative for rapid technology demonstrations and innovation, streamlining development cycles and boosting engagement

May 2022 – Feb 2024 · 1 yr 9 mos · Dublin, County Dublin, Ireland · Hybrid

• ▪ Mastercard Foundry Team — The Research and Development arm of the company | Data Science and Analytics
• ▪ Led AI/ML development in R&D and cross-functional B2B product teams, driving innovation and de-risking adoption of emerging technologies
• ▪ Built AI-driven solutions for Liquidity Optimization, Enterprise Credit Risk, and Cryptocurrency Transaction Analysis
• ▪ Spearheaded Generative AI initiatives, showcasing three PoCs for executive leadership.
• ▪ Filed five patent applications in AI for transaction monitoring (Bitcoin AML) and real-time payments liquidity forecasting
• ▪ Led globally distributed team consisting of data engineers, data scientist and ML engineers
• ▪ Storytelling with data, engaging C-level executives, regulators, and legal teams, translating complex AI insights into actionable strategies

Sep 2021 – Jun 2024 · 2 yrs 9 mos · Waterford, County Waterford, Ireland · Hybrid

• ▪Tenured Lecturer (~ Assistant Professor) in Business Information Systems with the School of Business, Department of Accountancy and Economics (currently on sabbatical)
• 2021/22 modules: Digital Economy, IT and Communication Skills, Data Analysis for Business, Quantitative Data Analysis - MBA/MBSI/e-MBA, Applied Research Methods - MBA/MBSI/e-MBA
• ▪Lecturer in Data Science and Distributed Systems with the School of Science, Department of Computing and Mathematics
• 2021/22 modules: Distributed Systems

Apr 2021 – Jun 2021 · 2 mos · Ireland

• ▪Composed and led the team consisting of members from 3 different departments in the research division in the I-Corps @ SFI Academy Program cohort
• ▪Cohort focused on coaching entrepreneurs about evidence-based entrepreneurship and lean business methodology
• ▪Selected as one of the teams to participate in I-Corps@SFI Academy organized by Science Foundation Ireland in partnership with VentureLab at Georgia Tech NSF I-Corps South team
• ▪Developed a compelling business model using a methodical, hypothesis-driven process, customer and market discovery to scale the research outputs to shape in form of a commercialization end product
• ▪Built business model, market model, product vision, and potential north-star metrics for the project using lean principles, processes and agile practices

Mar 2021 – Aug 2021 · 5 mos

• ▪ Lead scientist on EU-H2020 funded CITIES2030 project, which is a cross-sectoral and multi-stake holder project to create a future proof and effective UFSE (Urban food systems and ecosystems) via a connected structure centered on the citizens, built on trust, with partners encompassing the entire stakeholders in the supply chain
• ▪Developed an in-house tech stack for the strategic partnership office to track and manage funding proposals across different research divisions
• ▪Built a portfolio of varied projects for all research divisions within the Institute through competitive funding proposals to ensure a sustainable funding pipeline for different teams

Aug 2020 – Aug 2021 · 1 yr

• ▪ Project lead on SFI VistaMilk-Industry targeted project at Programmable & Autonomous Systems Unit (PAS), TSSG, WIT, Ireland
• ▪ Developed image processing based fog computing assisted data analytic strategies for wireless camera sensors deployed on a farm

Jan 2019 – Aug 2020 · 1 yr 7 mos

• ▪ Project Management and Tech Lead
• ▪ MELD (Machine Learning for Early Lameness Detection) (MELD-IoF2020, H2020, 2019-2020): A research and development project funded under the cascade funding scheme of the European Union’s Horizon 2020 research and innovation programme as a use-case in IoF2020 (Internet of Food and Farm, project, https://www.iof2020.eu/). MELD is an extension of part of my Ph.D. project, SmartHerd, which is an IoT- AI solution for early detection of lameness in cattle. It is an end-to-end IoT application system with fog assistance and cloud support that analyzes data generated from wearables on cows’ feet to detect anomalies in animal behavior that relate to illness such as lameness.
• ▪ Technologies and Tools Used: Python, Tensorflow, Scikit-learn, Probabilistic and Statistical Analysis, CouchDB, MongoDB, Ionic Framework

Sep 2015 – Aug 2020 · 4 yrs 11 mos

• ▪ Department of Computing and Mathematics, Waterford Institute of Technology, Ireland
• ▪ Emerging Networks Laboratory (ENL), TSSG
• ▪ Project and Tech Lead on SmartHerd Project
• ▪ Ph.D. Dissertation Title: Fog Computing Support for Internet of Things Applications
• ▪ I joined the Emerging Networks Lab (ENL) of TSSG in 2015 as a part of the Science Foundation Ireland (SFI) funded CONNECT Research Centre. The title of my Ph.D. thesis was “Fog Computing Support for Internet of Things Applications”. The work involved efficient design, development, and deployment of IoT services into the Fog / Cloud computing environment.  The research also focused on leveraging fog computing for data analytics in IoT deployments, and in particular decomposing data analytics and machine learning programs for fog enabled IoT systems towards effective resource and service management to support and meet the requirements for real-time IoT analytics.

Jan 2021 – Jul 2021 · 6 mos

• ▪ Worked as a part-time lecturer in the PDMT (Professional Diploma in Mathematics for Teaching) course, a programme to upskill school teachers on the Maths curriculum for post-primary education
• Subject Area: Algebra 1 (Linear and Geometry)

Jan 2019 – Sep 2021 · 2 yrs 8 mos

• ▪ Appointed a member of Waterford Institute of Technology’s Core Operational Committee concerning research related HR actions in the institute
• ▪ Contribution to strategic planning, research supports, assistance with policy formulation and research frameworks
• Web-link: https://www.wit.ie/research/our_research/hrs4r-home

Aug 2020 – Aug 2021 · 1 yr · California, United States

• ▪Lead researcher on collaborative EU-US research under the Next Generation Internet (NGI) focus area of Fog Computing with Santa Clara University, California as the partner US organization
• ▪Coordinated communication with 4 different divisions and teams within the organization, fostering both internal and global collaborations and enhancing the impact
• ▪Published 3 peer-reviewed articles in leading tier-1 scientific conferences, disseminating research outputs as leading author and co-author
• ▪Presented an end-to-end methodical analysis including both low-level and high-level system design of a fog computing assisted and AI-enabled animal welfare software system
• ▪Proposed a data-driven framework for climate-neutral smart dairy farming practices
• ▪Collaborated to develop a deep learning approach that gives an efficient and improved forecasting model, achieving an improvement of 31.1% over the baseline classification accuracy for autonomic resource management

Aug 2020 – Jul 2021 · 11 mos · Waterford, County Waterford, Ireland

Aug 2020 – Jul 2021 · 11 mos

• ▪Served as part of the Technical Program Committee (TPC) of the IEEE World Forum on Internet of Things 2021 as Track Chair of Computing for IoT track.

Oct 2019 – Mar 2020 · 5 mos

• ▪ Served as part of the Technical Program Committee (TPC) of the IEEE World Forum on Internet of Things 2020 as Track Chair of Computing for IoT track.

Jun 2019 – Sep 2019 · 3 mos · Ireland

• ▪ Appointed and served as a written examiner for junior certificate examination in mathematics.

Jan 2019 – May 2019 · 4 mos · Greater Dublin

• ▪Successfully finished NDRC's 6 months Pre-Commercialisation Programme for the year 2019.

Dec 2018 – Jul 2020 · 1 yr 7 mos · Greater Dublin

• ▪ Served as the Web Content Chair as part of the Organizing Committee for the IEEE International Conference on Communications (ICC 2020) held virtually in Dublin, Ireland from 7-11 June 2020.

Jul 2018 – Apr 2019 · 9 mos · Ireland

• ▪Served as part of the organizing committee for IEEE World Forum on Internet of Things 2019 (WF-IoT 2019) held at the University of Limerick, Ireland from 15-18 April 2019.
• ▪Web-link: (http://wfiot2019.iot.ieee.org/committee/organizing-committee/)

Apr 2017 – Apr 2017 · 0 mo · Greater Dublin

• ▪ Selected to participate in Citadel & Citadel Securities Datathon held in partnership with Correlation One at University College, Dublin

Apr 2017 – Apr 2017 · 0 mo · Greater Dublin

• ▪ The Sixth National Conference on Cloud Computing and Commerce
• ▪ Presented our work and use of iFogSim in a workshop on cloud simulation

Mar 2017 – Mar 2018 · 1 yr · Greater Dublin

• ▪ IBM Ireland Lab - Innovation Project Office
• ▪ IoT/SmartHerd Analytics Project: Fog based farm management system for animal health monitoring and behaviour analysis in dairy farming

Jun 2016 – Jul 2016 · 1 mo

• ▪ Represented CONNECT-Centre for Future Networks and Communications, Ireland in The InspireFest Fringe as a technical workshop leader
• ▪ Elucidated and demonstrated the Internet of Things (IoT) Scenario and implications to a non-technical audience, including kids and young adults

Oct 2015 – Sep 2020 · 4 yrs 11 mos

• ▪ Doctoral researcher at Science Foundation Ireland (SFI) research centre for future networks and communications, Ireland
• ▪ Project and Technical Lead on SmartHerd Project
• ▪ I was a part of the SFI-CONNECT-IBM project termed SmartHerd, which was further extended with a follow-on IoF2020 project termed MELD, which was a project to detect early-stage lameness in cattle with the help of technology
• ▪ SmartHerd/MELD is an IoT Machine Learning-based Early Lameness Detection system for cattle. The system has been shown to detect early signs of lameness in cattle up to three days before visible signs recognisable to the farmer are observed
• ▪ Early treatment of lameness has the potential to increase the productivity of the herd as well as minimise the volume of antibiotics consumed

Jun 2014 – Jul 2014 · 1 mo · Kazakhstan

• ▪ Networking and Security Management
• ▪ Created and configured an internal network for IT Department
• ▪ Set up the network system, internal mailing server, and Zentyal Firewall
• ▪ Project Mentor: Alexandr Chsherbov - Senior IT Engineer

Dec 2013 – Dec 2013 · 0 mo · Greater Chennai Area

• Reverse Engineering and Decryption Tools

May 2013 – May 2014 · 1 yr · Greater Jaipur Area

• ▪ Led the path towards becoming one of the top E-Cells in Rajasthan State
• ▪ Associated with various national and international organizations like NEN, TiE, AH Ventures etc.
• ▪ Maintained the E-cell Website as WebMaster, and organized various inter and intra-university entrepreneurship events

May 2013 – Jul 2013 · 2 mos · Gurugram, Haryana, India

• ▪ Malware analysis
• ▪ API calls tracing and binary packing of executables
• ▪ OpCode frequency analysis and peering the malicious behaviour thus found