RPA Developer Resume Sample

– Oversaw the development and implementation of RPA, IOCR, chatbots, and machine learning solutions, ensuring the practice met the company’s strategic objectives.
– Guided the creation and enhancement of intelligent automation solutions, ensuring they aligned with client needs and industry standards.
– Managed and mentored middle-level managers, fostering a collaborative and productive work environment.
– Acted as the primary architect for automation solutions, leading the technical implementation and ensuring successful project delivery.

– Directed the development and implementation of IOCR and chatbots solutions, ensuring the practice’s growth and alignment with market trends.
– Designed and architected RPA, IOCR, and chatbot solutions, ensuring technical excellence and meeting client requirements.
– Developed and refined the implementation practices for intelligent automation solutions, enhancing overall efficiency and effectiveness.

– Designed and implemented RPA solutions using Blue Prism and UiPath, ensuring adherence to best practices and client specifications.
– Created and standardized testing procedures for RPA solutions, ensuring quality and reliability.
– Established and maintained standards for RPA implementation, enhancing consistency and success rates.
– Acted as the primary technical architect for Blue Prism solutions, leading design and implementation efforts.

– Developed and led RPA projects, ensuring successful delivery and high-quality outcomes.
– Conducted use case assessments, estimations, pre-sales activities, and solutioning for RPA projects, providing expert advice and strategic insights.
– Planned and managed RPA projects, ensuring timely delivery and alignment with client objectives.
– Designed RPA solutions, ensuring they met client needs and were technically sound.

– Developed real-time telecommunication systems using C/C++, ensuring system reliability and performance.
– Implemented continuous integration processes using Jenkins, enhancing development efficiency and code quality.
– Utilized Linux and shell scripting to streamline development processes and automate tasks.
– Worked closely with cross-functional teams to deliver high-quality telecommunication solutions.

– Developed computer vision systems for automatic object detection and identification, utilizing C/C++, machine learning, Matlab, and OpenCV.
– Integrated machine learning algorithms into computer vision systems, enhancing detection and identification capabilities.
– Conducted research to advance the field of computer vision and contribute to academic publications.