Bhaskar Praveen Naidu

Software Engineer

Building elegant solutions to complex problems

Like this character, I adapt and customize solutions to fit your unique needs. Let's craft something extraordinary together.

Let's build something fun

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About Me

I'm, a passionate Software Engineer with a knack for building intuitive web applications and scalable backend systems.

With 4+ years of professional experience in full-stack development, I thrive on solving complex engineering challenges and transforming ideas into impactful digital solutions. I specialize in modern technologies like React, Next.js, Node.js, and Python, and I've worked extensively with cloud platforms like AWS to deliver high-performance, reliable software.

I'm always eager to learn, grow, and contribute to meaningful projects — whether it's optimizing infrastructure, designing slick user interfaces, or experimenting with side projects on the weekend.

Quick Facts

🎓 M.S. in Computer Science - IUB
💼 4+ years of professional experience
🌍 Based in Austin, Texas
🚀 Love building side projects

AWS Certified Solutions Architect – Associate

Experience

Heartland Community Network, USA

Software Engineer

Jul 2024 - Present

• Supervised and led a development team, overseeing the development and optimization of full-stack applications using React, Express.js, and PostgreSQL, improving response times by 45% through caching and query optimization.

• Improved UI responsiveness and performance through code-splitting, lazy loading, and memoization.

• Implemented CI/CD pipelines using Jenkins, reducing deployment time by 60% and increasing release frequency.

• Designed and deployed microservices architecture using Docker and Kubernetes, improving system scalability and fault tolerance.

Motorola Solutions, USA

Software Engineer

Jul 2023 – Dec 2023

• Architected and implemented real-time Cross-Platform monitoring dashboards using React, Next.js and Node.js for

PagerDuty integration, resulting in 30% faster incident response times and improved team productivity.

• Built a high-performance event processing system using Node.js and Elasticsearch, implementing WebSocket

connections for real-time alerts and achieving 98% accuracy in anomaly detection.

• Optimized AWS Lambda functions, reducing cold start times by 40% and improving overall system performance.

• Implemented serverless architecture using AWS services (Lambda, API Gateway, S3) for cost-effective scaling.

Motorola Solutions, India

Software Engineer

Mar 2021 – Mar 2022

• Spearheaded development of IAM solution using MERN stack, implementing JWT authentication and role-based

access control serving 500+ daily active users.

• Designed and implemented real-time analytics dashboard using React, D3.js, and Socket.IO, processing millions of

data points and reducing visualization latency by 40%.

• Developed custom Python scripts for automated database migrations ensuring zero downtime during deployments.

• Built responsive UI components using React and Material-UI, improving user experience and increasing engagement

by 25%.

• Implemented AWS S3 for efficient storage and retrieval of large datasets, reducing storage costs by 30%.

Featured Projects

Here are some of the projects I've built that showcase my skills and passion for creating innovative solutions.

Justice League Communication System: A WebSocket Broadcasting Server

Built a secure communication channel for the Justice League using modern web technologies. The system allows real-time broadcasting, dynamic hero identity assignment, secure member-only access, and active roster tracking, all powered by WebSocket communication.

Node.jsTypeScriptWebSocket ProtocolCommander.js

View Code

EfficientAi: AI-Powered Receptionist for Small Service Businesses

EfficientAi is a 24/7 AI receptionist service built to help small service-based businesses eliminate missed calls, improve customer experience, and capture every opportunity for revenue. It handles appointment booking, FAQ responses, lead generation, and spam filtering with customizable responses and AI-driven automation.

Node.jsTypeScriptWebSocket ProtocolReactFastAPIStripe Integration

Live Demo

Banking Loan Risk Prediction ETL

Developed an ETL pipeline for banking loan risk prediction that uses Python for data preprocessing, AWS S3 for storage, AWS SageMaker for model training, and Snowflake for data storage and analysis. The system assesses the risk of loan applicants based on historical data.

PythonAWS S3AWS SageMakerSnowflake

View Code

InboxAI

An end-to-end pipeline that turns your Gmail inbox into a searchable document store. The system uses the Gmail API to fetch raw email payloads, converts them to plain text, packages them into Haystack Document objects, and indexes them in Elasticsearch for fast search and analysis. This provides low-latency, scalable email-QA and analytics backend.

PythonGmail APIHaystackElasticsearch

View Code

View All Projects on GitHub

Skills & Technologies

Programming Languages

JavaScriptJavaPythonTypeScriptSQL

Frontend Development

ReactNext.jsAngularTailwind CSSRadix UIHTML5CSS3SASSReduxWebpack

Backend Development

Express.jsNode.jsFastAPIDjangoSpring BootNestJS

Database

MongoDBPostgreSQLRedisElasticsearchMySQLOracleCassandra

API Integration

RESTful APIsGraphQLgRPCSwagger

Cloud & DevOps

AWS (EC2, S3, Lambda, API Gateway)DockerKubernetesJenkinsCI/CDTerraform

Testing & Monitoring

JestCypressSeleniumMochaChaiPrometheusGrafana

Other Tools

WebSocketRabbitMQKafkaNginxApacheJiraConfluence