Sangeetha Jannapureddy

• Developing and deploying scalable AWS cloud connect solutions for Centene healthcare migration using Node.js, which reduces call handling times and improves the experience for 10,000+ daily patient interactions. • Engineering automated deployment pipelines for contact center infrastructure using AWS CloudFormation and CDK, which reduces manual setup time over 40%. • Delivering end-to-end features in an Agile environment with strong ownership, achieving 80% test coverage to resolve production issues and post-release defects.

1. Built modular, Al-powered pipelines to process 200+ page mortgage blob files-combining OCR (Tesseract, PaddleOCR), PDF parsing (PyMuPDF), and RAG techniques for intelligent data extraction, classification, and search. 2. Developed a document retrieval system using Llamalndex and Retrieval-Augmented Generation (RAG), optimized for multi-document mortgage blobs. Enhanced precision through chunk tuning, metadata filtering, and evaluation of open-source LLMs like Mistral and Phi-2. 3. Conducting end-to-end evaluation of the document intelligence system on 200+ page mortgage blobs-benchmarking OCR accuracy, RAG retrieval quality, and routing performance. Delivered a technical report outlining model trade-offs, optimization strategies, final deployment recommendations, and built a Ul for demo purposes.

• Developed React.js components that reduced User Interface latency from 320ms to 240ms by restructuring rendering. • Designed backend caching layer using LRU cache and hash maps with O(1) lookup complexity, reducing API response times by 40% for 500k+ concurrent requests in high-compute environments. • Implemented scalable backend Java Spring Boot microservices for Federal Operations Center increasing throughput from 900 requests/min to 1260 requests/min using Kafka. Tech Stack: React.js, Java, Spring Boot, Apache Kafka, REST APIs, Microservices Architecture, Caching (LRU), Hash Maps, Performance Optimization, Distributed Systems, AWS Cloud, IBM DB2

Provided peer-to-peer and group tutoring, advising and coaching on Computer Science related 400-500 level courses to all IIT students in online, in-person and hybrid modes. As an Arc Tutor, I attended all tutor training/education sessions, went on time for all scheduled tutoring and advising sessions, prepared and conducted exam reviews upon request to develop and conduct subject area workshops.

Thrilled to be a Teaching Assistant for the Software Engineering Course . My Roles and Responsibilities included the following:- • Grading of Assignments ,Quiz, Coding Projects, homework. • Assisting queries of students one on one and conducting office hours.

• Researched and reported on the latest technology trends for the college newspaper. • Crafted engaging articles to make complex tech topics accessible to the campus community. • Collaborated with the editorial team to brainstorm relevant topics that resonated with readers. • Demonstrated strong time management skills by meeting tight deadlines in a fast-paced environment.

Responsibilities: • Modernized backend web application with Node.js, server-side rendering and improved grid monitoring health coverage from 70% to 95% visualized in Grafana. • Designed grid platform using ReactJS, Next.js, TypeScript, increasing throughput from 30k to 50k events/day with DynamoDB sharding for 500k+ records. • Advanced grid system stability by 40%, by analyzing large-scale grid data and optimizing data flow across distributed nodes. • Built full-stack energy monitoring platform using React.js/Next.js/TypeScript frontend and Node.js/Express.js microservices backend, automating outage detection and reducing incident response time by 60% for 50K+ daily energy consumption records. • Developed real-time energy analytics dashboard with React.js and server-side rendering in Next.js, enabling live grid monitoring, power usage visualization, and predictive maintenance alerts for utility operators. • Architected scalable backend with Node.js/Express.js APIs, MongoDB sharding (500K+ meter readings), and Kafka event streaming, achieving sub-second queries and real-time data processing with zero message loss. • Automated deployment pipeline with Jenkins CI/CD, Docker containerization, and Splunk monitoring, reducing release time by 50% and cutting outage detection time by 40%.

At Harman, I worked on backend systems in various sprint cycles, enabling real-time data exchange between connected vehicles and cloud platforms. • Improved message throughput by 45% across 10 global regions by architecting backend services using Java, implementing API routing with Spring Cloud Gateway, and integrating Apache Kafka for event streaming. • Increased throughput ofserverby 35% by resolving data inconsistencies between vehicle state APIs and cloud rendering. • Built an event-driven workflow using ECS, Lambda, DynamoDB, SQS, Step Functions, and S3 to enable scalable, fault-tolerant asynchronous processing. • Built scalable, high-throughput microservices in Golang for production environments using REST APIs and concurrent processing reducing latency by 35% and achieving 99.5% uptime across multi-region infrastructure. • Designed RESTful APIs processing 1M+ messages/day using Spring Boot and Golang under 100ms latency, supporting real-time infotainment data delivery. • Improved backend reliability by 25% and enabled highly responsive, scalable connected-vehicle experiences. • Reduced incident detection time impacting real-time vehicle diagnostics by implementing Prometheus and Grafana monitoring with custom alerting for microservices health, cutting mean time to detect (MTTD) by 40%. Tech Stack: Python, Golang, Kafka, MongoDB, PostgreSQL, AWS, Prometheus, Grafana, Docker, Helm, Kubernetes, Bitbucket CI/CD, AWS SQS, AWS ECS, AWS Lambda, AWS DynamoDB, Amazon S3 Buckets,

As part of the Automotive Cloud Platform team, I helped build global orchestration systems managing millions of connected vehicles. The objective was to create a unified platform enabling real-time communication, remote diagnostics, and over-the-air (OTA) updates between cloud services and in-vehicle devices.

As a Systems Engineer at Infosys, I contributed to developing a web-based enterprise application aimed at automating internal workflows. The project’s goal was to enhance user experience, streamline backend processes, and ensure scalability for future expansion. • Eliminated manual bottlenecks for e-commerce platform, improving efficiency from 70% to 85% using Java Spring Boot APIs supporting 5,000+ concurrent users. • Sphere headed slow API responses causing delays, by implementing caching strategies, reducing response time by 40%. • Resolved scalability issues in microservices using RESTful APIs by reducing code redundancy upto 30%. • Fixed slow API responses causing UI delays by optimizing MongoDB aggregation pipelines and implementing caching strategies, reducing response time by 40%. • Addressed deployment inconsistencies by establishing Jenkins CI/CD pipeline with Docker/Kubernetes orchestration and Kafka messaging, enabling zero-downtime releases. Tech Stack: Javascript, Typescript, React.js, Node.js (backend), Express.js, Github, MongoDB, PostgreSQL, JSON data, PostMan, HTML, CSS, jQuery, Bootstrap, JDBC, JUnit, Log4j, Linux, Kubernetes, Kafka, Jenkins, MongoDB

Coursework: Science of Programming Design and Analysis of Algorithms Software Project Management Information Security Software Testing and Analysis Advanced Database Organization Software Engineering Ethical Hacking ad Pen Testing Online Social Networking Analysis Computer Networks I

Grade: 3.6/4.0 Activities and societies: Member of Coding Club at ISTE Students Chapter Intercollegiate. Volunteer at Intuit R&D, Samsung R&D programs. Coursework: Data Structures and Algorithms Database Management Systems Machine Learning Software Testing and Analysis Computer Organization Operating Systems Advanced Java/J2EE Python Programming Web Programming and Designing Mathematics Physics Chemistry Internet of Things Storage And Networks