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Maniram Tatipamula

SDE Intern @Chargebee | Java Backend Developer | High-Performance APIs & Microservices | System Design | Cloud-Native | AI

Chennai

1+ year of work experience

Chargebee
Mar 20266 mosPresent

Chennai, Tamil Nadu, India

GirlScript Summer of Code
Jul 20254 mosOct 2025

Remote

• Architected complete backend system for agriculture e-commerce platform using Spring Boot MVC, implementing 20+ RESTful API endpoints with MySQL database featuring normalized schema and optimized indexing, enabling efficient product catalog management and order processing for scalable e-commerce operations. • Mentored project owner through 3+ live sessions on Git workflows, PR review processes, and merge conflict resolution, improving team collaboration and enabling smooth coordination across 10+ open-source contributors throughout the development.
Aveha Solutions Pvt. Ltd.
Jun 20233 mosAug 2023

Remote

• Optimized YouTube videos using SEO tools like VidIQ, TubeBuddy, and SEMrush, elevating SEO scores from 0% to 80–90%. • Conducted comprehensive keyword research with Google Keyword Planner to enhance video titles, descriptions, and metadata. • Analyzed audience retention and click-through metrics via YouTube Analytics to refine strategies for organic growth.

Maniram’s AI Stack

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Education

VIT-AP University

Bachelor of Technology - BTech, Computer Science

VIT-AP University

20224 yrs2026

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Headline

SDE Intern @Chargebee | Java Backend Developer | High-Performance APIs & Microservices | System Design | Cloud-Native | AI

About

Backend Engineer specializing in distributed systems and scalable microservices architecture. I build high-performance applications that handle real-time data processing and serve thousands of concurrent users with sub-second latency. My expertise lies in architecting event-driven systems using Java and Spring Boot, designing RESTful APIs that process large-scale data efficiently, and implementing asynchronous communication patterns with message queues like RabbitMQ and Kafka. I've built production systems integrating machine learning models, real-time sentiment analysis pipelines, and AI-powered recommendation engines that deliver actionable insights within milliseconds. Contributed to open-source projects where I architect backend infrastructure for e-commerce platforms, and mentor engineering teams on distributed system design patterns. I've successfully demonstrated SaaS platforms to enterprise clients, translating complex technical solutions into business value. What drives my engineering approach: designing for fault tolerance, optimizing database queries for performance, and building systems that scale horizontally. Whether it's reducing API response times through caching strategies with Redis, implementing circuit breakers for service resilience, or designing normalized database schemas that handle millions of transactions, I focus on creating maintainable, production-ready solutions. I've built cryptocurrency analysis platforms processing 60,000+ data sources with machine learning pipelines, fitness tracking applications with decoupled microservices communicating asynchronously, and community management systems with role-based access control serving hundreds of users. Each project reinforced my understanding of system design trade-offs, CAP theorem implications, and the importance of monitoring and observability. Recognized for engineering innovation with awards from competitive technical showcases and invited to deliver sessions on cybersecurity and digital safety. Oracle Certified in Generative AI, with additional training in cybersecurity fundamentals. I'm passionate about solving complex distributed system challenges, building resilient infrastructure, and writing code that performs reliably under load. Looking for backend engineering opportunities where I can contribute to large-scale systems, collaborate with exceptional engineering teams, and work on problems that require deep technical expertise in distributed computing, database optimization, and cloud-native architectures.

Location

Chennai

AI stack

claude code

claude

cursor

geminicli

hugging face

mcp

Work experience

Cloud Platform Engineer Intern at Chargebee, Mar 2026 - Present · 6 mos, Chennai, Tamil Nadu, India

Backend Developer (Open-Source) at GirlScript Summer of Code, Jul 2025 - Oct 2025 · 4 mos, Remote, • Architected complete backend system for agriculture e-commerce platform using Spring Boot MVC, implementing 20+ RESTful API endpoints with MySQL database featuring normalized schema and optimized indexing, enabling efficient product catalog management and order processing for scalable e-commerce operations. • Mentored project owner through 3+ live sessions on Git workflows, PR review processes, and merge conflict resolution, improving team collaboration and enabling smooth coordination across 10+ open-source contributors throughout the development.

Search Engine Optimization Specialist at Aveha Solutions Pvt. Ltd., Jun 2023 - Aug 2023 · 3 mos, Remote, • Optimized YouTube videos using SEO tools like VidIQ, TubeBuddy, and SEMrush, elevating SEO scores from 0% to 80–90%. • Conducted comprehensive keyword research with Google Keyword Planner to enhance video titles, descriptions, and metadata. • Analyzed audience retention and click-through metrics via YouTube Analytics to refine strategies for organic growth.

Education

Bachelor of Technology - BTech, Computer Science, VIT-AP University

Public links

github: https://github.com/ManiraM-1

medium: https://medium.com/@maniram_1

leetcode: https://leetcode.com/Maniram1

youtube.com: https://youtube.com/@maniram_here