•Engaged in solving real-world challenges using Machine Learning for predictive and conditional-based monitoring of industrial assets such as blowers, pumps, and compressors.• Played a crucial role in the complete lifecycle of the software development process, collaborating with teams using Azure DevOps for the deployment of CI/CD pipelines, code versioning, and fostering a culture of collaboration.• Implemented an ML solution for detecting and identifying defects in PCB boards, enhancing quality control processes.• Developed a Fatigue Detection application utilizing Azure Cognitive Services and Python, aiding in monitoring and improving safety measures.• Utilized Python, Cosmos DB, and Ray (Distributed Computing Package) to efficiently load patient data to remote VMs for subsequent data analytics. Implemented code refactoring following OOPS principles and a modular approach for improved organization and scalability.• Successfully integrated production-grade Machine Learning into applications using MLOps tools such as Git, Bitbucket, Docker, Kubernetes, Airflow, MLflow, and Kserve, ensuring seamless deployment and management.• Proficient in Azure IoT Hub device management and message routing, enhancing IoT data processing capabilities.• Leveraged MQTT Broker for capturing sensor data, facilitating real-time data acquisition and analysis.• Utilized Databricks for processing large streaming data, enabling efficient data processing and analysis at scale.• Skilled in Python packaging and deployment to private artifacts using Twine, ensuring secure and efficient distribution of Python packages.• Proficient in API development using Flask API, enabling seamless integration of applications and services.• Deployed Dockerized applications in various environments including WebApp, Container Instance, and AKS (Azure Kubernetes Service), ensuring scalability, reliability, and flexibility in deployment options.

𝐏𝐲𝐭𝐡𝐨𝐧/𝐌𝐋 𝐏𝐑𝐀𝐂𝐓𝐈𝐓𝐈𝐎𝐍𝐄𝐑• Contributed to the development of a Machine Learning (ML) application specializing in invoice data extraction.• Spearheaded efforts to leverage ML models for extracting structured data from invoice copies, enhancing efficiency and accuracy in data processing.• Implemented Python coding for training set validation and feature extraction, ensuring robust model performance and data integrity.• Extensive experience in training machine learning models using Azure ML Studio, specializing in hyperparameter tuning.• Experience in deployment in both Container instances and Flask applications. • Proficient in utilizing Python libraries such as Pandas, Numpy, Sklearn, AzureML, and OpenCV to facilitate data analysis, model training, and feature extraction processes.• Demonstrated expertise in Microsoft Azure cloud services, harnessing its capabilities to support ML model deployment and management.• Leveraged Microsoft cognitive services and Form Recognizer labeling tool to streamline data labeling and annotation processes, enhancing model training effectiveness and efficiency.• Actively contributed to the advancement of ML-driven solutions, collaborating with cross-functional teams to innovate and drive business outcomes.

𝐑𝐏𝐀 𝐂𝐎𝐍𝐒𝐔𝐋𝐓𝐀𝐍𝐓• Spearheaded client consultation sessions, meticulously identifying and analyzing requirements to tailor RPA solutions to meet specific client needs.• Leveraged expertise to deliver informative presentations, guiding clients on tool functionality and implementation strategies, and fostering informed decision-making.• Demonstrated proficiency in autonomously automating diverse platform projects across various environments, including Citrix, SAP, web applications, and desktop applications.• Managed both front office and back office bots adeptly, ensuring seamless scheduling and operation, with hands-on experience utilizing Orchestrator for enhanced control and monitoring.• Conducted rigorous testing protocols to validate project functionality across multiple parameters, ensuring robust performance and compatibility in diverse environments.• Proactively collaborated with cross-functional teams to streamline implementation processes and address client concerns, fostering strong client relationships and ensuring project success.• Successfully executed projects onsite at client locations, providing on-demand support and troubleshooting to optimize RPA implementation and performance.• Implemented best practices and continuous improvement initiatives to enhance the efficiency and effectiveness of RPA solutions, driving client satisfaction and business growth.• Acted as a liaison between clients and internal teams, facilitating communication and alignment to ensure project objectives were met and exceeded.• Demonstrated strong problem-solving skills and adaptability, effectively navigating challenges and evolving project requirements to deliver high-quality solutions on time and within budget.

• Spearheaded requirement analysis, project design, and planning, ensuring alignment with organizational objectives.• Evaluated the feasibility of existing processes for automation, optimizing workflows for enhanced efficiency.• Established RPA framework and assembled a proficient team for seamless production support.• Designed and developed RPA solutions to streamline business processes, encompassing Windows, web applications, and PDF automation, leveraging UiPath Studio.• Formulated and documented comprehensive test procedures and scenarios for pre-UAT phases, ensuring robust solution validation.• Applied expertise within the Healthcare industry, automating diverse processes in Billing, Payments, and Coding domains.• Independently automated 7 end-to-end processes, deploying a total of 12 processes successfully.• Recognized for consistently delivering within timelines, and receiving accolades from clients and seniors.• Developed extraction applications utilizing Python, enhancing data extraction capabilities.• Proficient in staging and deploying automation solutions across test and live environments.• Assumed responsibility for regular production support activities and maintenance tasks, ensuring system integrity.• Provided crucial support to Operational Teams during UAT and rollout phases, ensuring smooth transitions.• Facilitated collaborative process development, reviews, walkthroughs, and problem-solving sessions through regular peer meetings.• Leveraged Python for the development of data extraction applications, further expanding automation capabilities.

Created an RPA Solution for University Mark Entry.• In compliance with Anna University regulations, affiliated colleges are required to input data into the university's web portal. • This robotic process automation project streamlines the process of updating the portal, eliminating manual data entry for student assessment details. • As a result, it significantly reduces the time spent on administrative tasks, enhancing efficiency and accuracy in academic record management.• Led a team of 3 in developing an RPA Solution for streamlining mark entry processes.• Successfully managed the project to completion within the designated timeline.