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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE github.com/informsarfu LINKEDIN LINK AVAILABLE informsarfu.github.io EDUCATIONMaster of Computer Engineering Graduating Dec Street Address Arizona State University, Tempe, AZ 4.0 GPABachelor of Electronics and Communication Engineering Aug Street Address Crescent University, Chennai, TN 7.9 CGPATECHNICAL SKILLSProgramming: Python, Java, Javascript, C++, C, Typescript, Kotlin, SQL, HTML/CSS, Shell (Linux) Frameworks: Angular, React, Express.js, Node.js, Bootstrap, TailwindCSS, Flask, Django, Snowflake, D3.Js, Firebase Softwares: Postman, SoapUI, Grafana, Kubernetes, Kafka, Selenium, Oracle, MySQL, MongoDB (NoSQL), Snowflake Other: Agile (Scrum and Kanban), SDLC, Backend, Full-Stack, DevOps, Performance/Unit Testing, OOP, Git, REST PROFESSIONAL EXPERIENCEArizona State University, Tempe, AZ: Graduate Teaching Assistant Aug 2023 Present Advised a cohort of 300+ students, across multiple batches, in understanding Java fundamentals and object-oriented programming concepts through 10 hours of weekly Q&A and review sessions. Achieved an overall 95% student retention rate by systematically providing feedback on assessments and projects, thereby improving the performance metrics by 15%, compared to previous batches. Tata Consultancy Services, Bangalore, KA: System Engineer Feb 2021 Jun 2022 Spearheaded the integration of stateful Kafka pods with Kubernetes to ensure 99.9% uptime and zero data corruption during pod failures and network partitions. Revamped the deployment of Kafka on Kubernetes with optimized pod configurations and fostered efficient load-balancing techniques to improve response time by 25%. Facilitated performance tuning of Kafka clusters by tweaking topic configurations, partition counts, and replication factors, leading to a 2x increase in overall system throughput. Reclaimed over 20 hours a week of maintenance effort by pioneering the use of Kubernetes Operator to automate Kafka cluster management in Control-M, freeing up developers from routine tasks. Pioneered the migration of 100k+ records of user investment portfolios across multiple relational databases using Oracle RDBMS as a result of data flow across Kafka topics, ensuring robust data integrity. PERSONAL PROJECTSSmart Driver Assistant: an Android app built on Django, focusing on driver safety and entertainment. Engineered a YOLOv4-based collision detection system and voicemail service with cloud integration, and leveraged Geolocation API for real-time location, enhancing passenger safety via Django-managed backend services. Designed a location-based music recommendation model using collaborative filtering and alternating least square algorithm, managing RESTful API development using Django REST Framework (DRF). Orchestrated Django for backend services like user authentication, SQLite data storage, and real-time data synchronization with Django Channels, all managed by Gradle for builds and dependencies. Schedule Planner: A web application built on the FEAN stack for organizing weekly agendas Established server interactions using RESTful API endpoints with Node.js and Express.js, enabling seamless data flow between frontend and backend systems. Implemented real-time data synchronization, cloud-based storage, and user authentication using Firebase, ensuring scalability and improved data latency. Coded frontend with Angular, Bootstrap, and Server-Side Events (SSE) to show live updates to the event schedule. eBay Clone: Crafted an e-commerce website using the MERN stack to enable product purchase replication. Utilized ECMAScript 6 features to permit asynchronous programming and state synchronization, enhancing the user interface, and achieving 2x data handling speed. Streamlined backend API operations using Node.js and Express.js middleware, enabling robust JSON data retrieval. Refined MongoDB performance with schema indexing and aggregation pipelines, processing complex queries at up to 1000 records per second, and simplifying data management. |
