Swapnadeep Sarkar

Associate Technical Consultant

Adobe•  July 2022 - Present

- Programming Languages: Proficient in Python, HTML, CSS, JavaScript, and Adobe scripting languages; - Adobe Stack: Proficient in implementing Adobe Experience Cloud solutions, including Adobe Launch, Target, Analytics, Experience Platform, and Journey Optimizer. Demonstrated expertise in deploying these tools through various methods, including Legacy and Edge Server (Web SDK) on both web and app platforms; - Product Development: Led the successful UI development of Campaigns for Site Personalization, Optimization, and Recommendation, resulting in a 20-25% lift in conversion rate for several clients; - Solution Architecture: Designed solution architectures to map out data flows and customer journey for projects, ensuring seamless integration of multiple products; - Design Reviews: Conducted design reviews with peers and stakeholders for various projects, making technology decisions; - Code Review: Conducted comprehensive code reviews, providing meticulous feedback on team members' codebase to ensure adherence to industry best practices, resulting in a 40% reduction in production bugs and improved overall code quality; - Documentation: Created multiple Technical Specification Documents as per client's Solution Architecture. Contributed to documentation and educational content, adapting as per product updates and user feedback; - Issue Resolution: Efficiently triaged and resolved product/system issues, analyzing their sources and impacts;

VIT, Vellore (Vellore Institute of Technology)

Electrical Engineering & Computer Science, B.Tech•  July 2018 - June 2022

- Cumulative Grade Point Average (CGPA): 8.6; - Vice-President of IEEE - Circuits and Systems (CAS) at VIT, overseeing planning and execution of skill development workshops during GraVITas, managing technical workshops, handling event sponsorship, publicity efforts, and designing posters for flagship events; - Published paper titled "Ultrasonic Sensor Based 3D Mapping and Localization" in IJCRT with an Impact Factor of 7.97; - Contributed an article titled "ML-Based Finger-Vein Biometric Authentication and Hardware Implementation Strategies" in the book "Neuromorphic Computing Systems for Industry 4.0," Chapter 8 (pages 204-208);