Nikhila Manogna Renduchintala

Backend Engineer | Distributed Systems | Microservices | Data Engineering & Analytics

Building scalable backend systems and data-driven platforms with a focus on performance, reliability, and real-time processing. Experienced in microservices architecture, event-driven systems, and developing analytics and machine learning solutions to solve real-world problems.

ResumeProjects

Experience

Software Engineer Apprentice

Jun 2024 – Jun 2025

DBS Tech India · Hyderabad, IN

  • Contributed to backend development of enterprise applications by designing and implementing RESTful APIs using Java and Spring Boot.
  • Worked closely with cross-functional teams to analyze requirements, improve system reliability, and enhance application performance.
  • Assisted in database design and optimization, ensuring efficient data retrieval and consistency across services.
  • Gained hands-on experience with production-level code, version control, and agile development workflows.

Projects

Distributed URL Shortener System

High-performance backend system for generating and resolving short URLs with low latency.

  • • Handled 50K+ URLs with optimized storage and retrieval
  • • Achieved sub-10ms latency using Redis caching
JavaSpring BootRedisPostgreSQLDocker

Real-Time Collaborative Document Editor

Google Docs–like platform enabling multiple users to edit documents simultaneously.

  • • Implemented real-time collaboration using WebSockets for multi-user editing
  • • Handled concurrent updates with conflict resolution and live synchronization
ReactJavaSpring BootRedis

E-Commerce Platform

Distributed microservices-based platform for managing catalog, orders, and payments.

  • • Designed scalable microservices architecture with fault isolation
  • • Implemented Kafka-based event-driven workflows for reliable order processing
JavaSpring BootMicroservicesKafkaPostgreSQLDocker

Incident Monitoring & Failure Prediction System

Real-time monitoring system for detecting anomalies and predicting failures.

  • • Processed 1K+ system metrics/min using Kafka streams
  • • Implemented anomaly detection and secure APIs for system insights
JavaSpring BootApache KafkaPostgreSQL

Fall Detection via Multimodal Video Classification

Deep learning system for detecting human fall events from video data.

  • • Achieved 93.5% accuracy using transformer-based models
  • • Built web interface for real-time video upload and prediction
PythonDeep LearningFlask

Customer Segmentation System

Machine learning system for grouping customers based on behavior and attributes.

  • • Applied clustering techniques to identify meaningful customer segments
  • • Enabled data-driven decision-making through prediction interface
PythonFlaskScikit-learn

Insurance Premium Analytics

Data analytics project for understanding insurance pricing patterns.

  • • Performed exploratory analysis to identify premium distribution trends
  • • Built visual insights using Power BI and Python
PythonPower BIDAXData Analysis

Enterprise Sales & Delivery Analytics

Interactive dashboard for analyzing sales, profit, and delivery performance.

  • • Built dynamic Power BI dashboards with drill-down capabilities
  • • Identified revenue drivers and operational bottlenecks
Power BIDAXData Analytics

Blood Bank Management System (AWS)

Cloud-based system for managing blood donors and donation requests.

  • • Deployed application on AWS EC2 for improved availability
  • • Streamlined donor and request management workflow
AWS EC2HTMLCSS

Online Car Rental System

Web application for managing car rentals and bookings.

  • • Developed end-to-end booking workflow for users
  • • Improved accessibility for managing rentals digitally
HTMLCSSXAMPP

Skills

Programming Languages

JavaPythonSQL

Backend & Systems

Spring BootREST APIsMicroservicesRedis

Data Analytics & Machine Learning

Machine Learningscikit-learnPower BIDAXTableau

Databases & Cloud

PostgreSQLMySQLMariaDB

Tools & Platforms

DockerJenkinsGitFlaskHTMLCSS

Education

Bachelor of Technology in Computer Science & Engineering

2021 – 2025

GPA: 9.28 / 10

VIT-AP University

Specialization in Data Analytics

Publications

Predictive Insights for Enhancing Customer Retention in Banking

MAI Conference · NIT Patna · Springer Proceedings · 2024

Proposed a data-driven churn prediction framework integrating Random Forest models with Power BI dashboards to support real-time business decision-making.

Get in Touch

Open to software engineering and data analyst roles where I can work on scalable systems and data-driven applications.