Key Responsibilities• Conducted extensive research on Large Language Models (LLMs), focusing on the application of semantic search analysis, vector embeddings, and vector databases within the Databricks workspace. This work aimed to explore the potential of LLMs in enhancing project efficiency and outcomes through innovative data science methodologies rather than the development or direct implementation of new ML and AI technologies.• Designed and led the development of scalable data pipelines, utilising Snowflake, Streams, and AWS to enhance data ingestion and processing capabilities, catering to dynamic business requirements.- Architected comprehensive data strategies, including secure, scalable cloud-based solutions across AWS, Azure, and Google Cloud. This encompassed principles, architecture, governance, security, delivery, and operations, ensuring compliance and data quality.• Conducted client workshops as project lead, emphasising data strategy and platform optimisation. These sessions aimed to enhance data flow and support ML, AI initiatives, and business reporting, reinforcing future-proof strategy.• Designed solutions incorporating CI/CD and IaaC best practices, leveraging Docker and Terraform. Although not implemented directly, these designs contributed to robust DevOps workflows and infrastructure management strategies.• Focused on data governance frameworks, particularly in designing RBAC solutions on Snowflake, rather than direct Unix/Linux systems management. This work ensured high data governance standards and secure access controls.• Supported DevOps rather than MLops, demonstrating a deep understanding of data quality, lineage, and governance. This involved facilitating efficient and compliant data operations for business teams, underpinning analytics platforms.

Key Responsibilities• Crafted automation scripts focused on data and metadata ingestion, incorporating ETL processes for data spatialisation, using technologies like QGIS, Postgres, CKAN, Linux servers, and Airflow.• Served in a support role on a data science team, assisting Australian research entities and project groups with data audits, acquisition, storage, transformation, and analysis while managing the metadata lifecycle.• Played a crucial role in enhancing AURIN's toolkit capabilities, extending data ingestion functionalities for Statistical Data and Metadata Exchange (SDMX) and real-time IoT-generated data.• Authored comprehensive setup documents and guides for GIS-based data science projects, utilising tools such as Miniconda, pip, Docker, Jupyter Hub, Postgres, VS Code, GitHub, and Windows Subsystem for Linux (WSL).

Key Responsibilities• Involved in data analytics, problem-solving and research data management related tasks• Communicated with researchers from agriculture, veterinary, psychology and law domains• Utilized digital tools to prepare data sets for analysis, learning new analytical methods • Employed contemporary data analytical techniques on large data sets for a couple of research projects

Key Responsibilities• Lead and assisted development team of nine team members • Consulted as subject matter expert for high priority incidents to multiple clients in SAP business unit• Rendered end to end solutions: Ideation, design, development, test and deployment• Presented Capgemini in-house innovation and automation tools to senior management and clients• Aided higher management in sales pitches for new clients• Explored upcoming SAP modules such as SAP UI5 (HCP), HANA DB, XSJS and SAP Leonardo• Comprehended processes and produced in-house tools for clients utilizing the upcoming technologies such as Blockchain, IoT, Machine Learning, IoT, Big Data and Bots• Designed and developed tools for data lifecycle management for clients involving data modelling, transfer and monitoringProfessional Accomplishments:• Won Innovation Award for IoT, Machine learning and HANA based application development• Devised and developed a proof of concept of ‘Carbon Footprint Sustainability’ app for Capgemini at the global level and presented it to CEO of Capgemini India• Recognized by Capgemini global board members for work on ‘Carbon Footprint Sustainability’ app• Built a few Capgemini proprietary data migration tool and system monitoring tools• Lead innovation team for the Business Unit (with 100+ Client Projects and 10000+ employees)

Key Responsibilities• Analyzed and formulated solutions for SAP functional modules, such as sales and distribution, material management, finance and controlling, project planning, and human resources.• Ensured compliance of quality management system (QMS) processes • Conducted Peer Reviews and maintained the Audit Norms• Organized and led onsite-offshore coordination with customers• Developed and presented proof of concepts (POC) to end-users, for example, automated daily status monitoring tool of 150 systems thereby saving 90 manhours monthly • Facilitated training and workshops on IDOC, Workflow, BDC, Enhancement Framework, Debugging and Screen ProgrammingExtra responsibilities (Company Level Initiatives):• Operated as developer for SAP UI/UX, Capgemini Experts Group• Interviewed candidates at SAP Technical Interview Panel for ABAP and Workflow• Trained new SAP technical consultants in the organization for the Capgemini L&D Department

Project: ABB SAP ERP OSA ImplementationABB is a global leader in power and automation technologies. Their solutions improve the efficiency, productivity and quality of our customers’ operations while minimizing environmental impact. Innovation is at the forefront of what ABB do and many of the technologies that drive modern society were pioneered by ABB. Find more on 'http://new.abb.com/about'SAP ABAP Technical Team Lead • Weekly meeting with the client(ABB Norway) • Ticket monitoring and planning• Resource assignment• Teaching and mentoringSAP ABAP Senior Developer - Primary Skills• IDOC ALE-EDI, Workflow, SAP Scripts and SMARTFORMS, Data Conversion (BDC), BAPI, Enhancement Objects (EXITs and BADIs), Business Object Repository (BOR), SPAU and SPDD, ABAP Reports – Classic and interactive. - Secondary Skills• Web-Dynpro, HR-ABAP- Function Modules in SAP(Worked on)• MM, FI, CO, SD, PS, PP, CS, HR and BI.Member of the creative team • Organized inter-project events, outings, and parties - Fun at work activities TCS Maitree Adventure Club• Lead and coordinators for club events. • Participated in more than 20 treks with groups raining from 40 to 100• Planned pilot trip for route analysis and logistics. • Been part of volunteering activities by the club: beach cleaning and fort cleaningTCS Maitree - Expression• The lead of Mimicry event.• Involved in end to end planning and execution of event.