About

Rohan Prasad is a highly experienced software engineer and architect with over 17 years of experience in designing, developing, and managing complex software systems. His expertise spans enterprise architecture, software architecture, and hands-on coding, coupled with a proven track record of leading agile teams and driving successful project delivery. Rohan's career demonstrates a consistent progression of increasing responsibility and technical leadership. He has a strong focus on building scalable, high-performance systems and has extensive experience with various technologies, including Java, Python, Node.js, JavaScript, and various database and cloud technologies. His recent roles highlight his ability to lead technical transformations and drive significant improvements in system performance and efficiency. At Westmark Tax Group and Coinme LLC, he architected and built scalable services, implemented data lakes and streaming processes, and managed teams of over 15 individuals. He also focused on improving data pipelines and implementing analytics and AI models. His work at Coinme included designing a "Coinme as a service" platform and migrating infrastructure to improve performance and handle increased traffic. He has consistently demonstrated an ability to optimize systems for performance and scalability, often achieving significant percentage improvements. At Cerebral Inc., Rohan led a culture change initiative, breaking down a monolithic codebase into microservices and event-driven systems. This experience underscores his ability to not only design and implement complex technical solutions but also to lead and mentor engineering teams through significant architectural changes. He also redesigned the core website to improve performance and enable A/B testing. Prior to these roles, Rohan worked at Dell Technologies, where he designed and implemented an IoT solution and an SOS solution for remote appliances. His earlier experience at Foresite MSP, Fidelity Investment, State Street Corporation, Starwood Hotels and Resorts, and Satyam Computers provided him with a solid foundation in software development and a broad understanding of various industries and technologies. Rohan's skills encompass a wide range of technologies, including programming languages (Java, Python, JavaScript, Node.js), databases (MySQL, Postgres, Oracle, MongoDB), cloud platforms (AWS, Pivotal Cloud Foundry), containerization (Docker, Kubernetes), and data analytics tools (PowerBI, Looker). His expertise also extends to DevOps practices, including continuous integration and artifact repositories. He stays current with algorithms, data structures, and design patterns, with a focus on building highly scalable systems. His research into blockchain technologies, such as Ethereum and Hyperledger, further demonstrates his commitment to exploring and implementing cutting-edge technologies. Rohan's educational background includes a Bachelor of Engineering in Electronics and Communication from Visveswaraiah Technological University. His combination of technical expertise, leadership skills, and commitment to innovation makes him a valuable asset to any organization looking to build and scale complex software systems.

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Skills

Experience

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Manager Enterprise Architecture

Westmark Tax Group

Apr-2024 to Present

Education

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Visvesvaraya Technological University (VTU)

B.E in Electronics and Communication

Passout Year: 2007

Peer-Reviewed Articles

Survey on Design of CIC Decimator and Interpolator in Wireless Receivers

The advancement in Wireless communications has always led to the need of multi rate signal processing. Multi-rate signal processing plays a pivotal role in the field of wireless communication due to many reasons like its ability to improve its efficiency, flexibility, and performance in various aspects of signal handling. The computational complexity can be minimized; signal quality can be enhanced and easy adaptability to varied communication scenarios is possible by usage of different sampling rates. So should be the design of wireless receivers to adapt to different sampling rates where it is observed that Cascaded Integrator-Comb (CIC) filters play a pivotal role. CIC filters have multiplier-less architecture and are considered more efficient in decimation and interpolation which make them perfect for high-speed digital communications. This review not only highlights the relevance, design enhancements, and application of CIC filters in meeting the growing demands of next-generation wireless technologies but also focuses on the estimation of other hardware resource parameters to evaluate their performance.

CONTENT-BASED VIDEO SHOT BOUNDARY DETECTION USING CANNY EDGE FEATURES

Video Shot Boundary Detection (VSBD) is a vital preliminary step in content-based video analysis, enabling efficient indexing, retrieval, summarization, and editing workflows. This paper introduces a robust and computationally efficient method for detecting shot boundaries especially abrupt cuts using the Canny edge features. Our approach employs the following pipeline: frames are converted to grayscale and Canny edge features are extracted. Normalized ECR is computed on consecutive frames, then threshold is set and shot transitions are flagged. We benchmark our method on standard datasets such as TRECVID, evaluating performance in terms of precision, recall, F1-score. Our proposed method average F1-score 93.17.

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S9-112024-1206384

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