Sai Sridhar Tarra

TARRA S AI S RIDHAR Job Expectation: SDE, Full Stack developer, SAP SuccessFactors Technical Consultant | #-| ƒ (- | § Github | ï Linkedin | ‡ EDUCATION MVSR Engineering College - 8.74CGPA B.E in Mechanical Engineering GMRP College - 91% Diploma in Mechanical Engineering June. 2020 – June. 2023 Hyderabd, India June. 2017 – May. 2020 Hyderabad, India l PROFESSIONAL EXPERIENCE Accenture LMS Technical Support – SAP SuccessFactors Learning • Nov. 2023 – Present Coimbatore, India Provide technical support for SAP SuccessFactors Learning Management System (LMS), resolving client issues and ensuring smooth system performance. Handle configuration, user support, and troubleshooting across modules within the LMS. Collaborate with internal teams to implement system updates and maintain data integrity. Assist in report generation, user provisioning, and system enhancement documentation. • • • PROJECTS LoadIQ – Distributed Load Prediction System for Smart Grids Jan 2025 – Present Tech Stack: Python, FastAPI, Kafka, Redis, MongoDB, React, Docker, AWS (Lambda, S3), Prometheus + Grafana • Built a distributed system to predict real-time electricity consumption across regions using Kafka for streaming and FastAPI microservices. • Designed scalable backend with load balancing and caching (Redis) to handle high throughput. • Deployed services on AWS Lambda monitored performance with Prometheus + Grafana. • Delivered sub-second predictions using ML models and optimized data pipelines for cost-efficiency and low latency. QueryFlow – Scalable Search & Recommendation Engine Sep 2024 – Dec 2024 Tech Stack: Node.js, Elasticsearch, PostgreSQL, Docker, React, AWS (EC2, RDS), TypeScript • Developed a distributed document indexing and querying system using Elasticsearch and PostgreSQL for a jobmatching platform. • Implemented personalized recommendation logic based on user interactions and query embeddings. • Designed fault-tolerant microservices architecture with Docker and AWS EC2/RDS for deployment. • Achieved 200ms average query time across 10K+ documents under high load. å SKILLS • • • • • • • • • • Programming: Python, Java, JavaScript, TypeScript, C++ Web Development: React, Node.js, HTML, CSS, Tailwind CSS Backend & APIs: FastAPI, Express.js, REST APIs Database Management: PostgreSQL, MongoDB, Redis Distributed Systems: Kafka, Elasticsearch Cloud & DevOps: Docker, AWS (EC2, Lambda, S3, RDS), Prometheus, Grafana AI & Cloud Tools: OpenAI API, AWS Skill Builder, Microsoft Azure AI Tools Tools & Platforms: Git, GitHub, Postman, VS Code, Linux Problem Solving: Data Structures and Algorithms (LeetCode, GeeksforGeeks) Office Suite: Excel, Outlook, PowerPoint, 5 ACHIEVEMENTS • Completed AWS Cloud Practitioner Essentials and foundational courses on AWS Skill Builder, covering cloud computing, storage, databases, and security best practices. arned Microsoft Generative AI for Beginners certification — built hands-on projects using LLMs and prompt engineering concepts. Achieved SAP SuccessFactors Learning Management System (LMS) certification, demonstrating expertise in configuring, maintaining, and supporting enterprise-level learning solutions. • • Leadership: President of The US. Know how to write bugs using ≥ 1,000 programming languages. Excelled in installation of Adobe, Office 365, etc. HR says this candidate is super fit!