# Mani Sai Veerlapati

> Software Engineer | AI & Full-Stack Developer | Building Scalable ML & Web Solutions | Python, Django, Java, React, AWS

Location: Memphis, Tennessee, United States
Profile: https://flows.cv/manisaiveerlapati

I am a Software Engineer with 4+ years of experience designing and delivering scalable full-stack and AI-powered solutions for enterprise applications. I specialize in building high-performance backend services, ML pipelines, and responsive web applications using Python, Django, Java, C#, Kotlin, and React.

My experience spans developing real-time AI/ML systems, optimizing REST/GraphQL APIs, and implementing cloud-based solutions on AWS, GCP, and Azure. I have built production-ready applications that handle high-volume datasets (2K–1M+ records) and deliver sub-second latency recommendations.

Passionate about leveraging AI and cloud technologies to solve real-world business problems, I thrive in collaborative environments, driving innovation, and improving system reliability, performance, and user experience.

## Work Experience
### Software Engineer (AI) @ Capital One
Jan 2025 – Present | New York, United States
• Designed and developed AI-enabled software components and ML pipelines using Python and AWS, delivering real-time analytics and decision support across systems processing over one million events per day.
• Built and maintained scalable backend services and RESTful APIs using Java/Spring Boot and relational databases (PostgreSQL/RDBMS), reducing request latency by 30% and improving system availability for mission-critical workflows.
• Developed high-performance backend services using C# and Golang, applying efficient concurrency and memory management techniques to improve overall system throughput by 25% in large-scale enterprise applications.
• Developed and supported responsive web applications using JavaScript, React, and Next.js, improving user experience and page load performance by 35% across internal business workflows.
• Created interactive analytics dashboards and reporting solutions using BigQuery, React, and Chart.js, enabling real-time operational insights, KPI tracking, and automated data refresh for business and engineering stakeholders.
• Integrated and deployed AI/ML and LLM-based workflows using TensorFlow models and AWS Bedrock, improving inference efficiency by 30% while meeting enterprise cost and reliability requirements.
• Designed and supported CI/CD pipelines and containerized deployments using AWS and Azure, enabling automated testing, consistent releases, and zero-downtime software delivery in regulated environments.
• Improved overall code quality and reliability by expanding unit and integration test coverage by 20%, while actively participating in code reviews and promoting software engineering best practices.

### Full Stack Engineer @ Flipkart
Jan 2021 – Jan 2024 | Hyderabad, Telangana, India
• Designed and developed scalable backend services using Java and Kotlin, supporting high-availability enterprise applications and improving system performance and maintainability across distributed environments.
• Built responsive, high-performance frontend applications using React.js, Tailwind CSS, and Redux, optimizing component rendering and state management to increase user engagement by 25%.
• Designed and implemented high-performance RESTful APIs and third-party integrations, optimizing service communication and reducing API latency by 35% across distributed systems.
• Implemented secure authentication and authorization frameworks using OAuth 2.0, JWT, and Spring Security, strengthening application security posture and reducing potential vulnerabilities.
• Developed and maintained GraphQL APIs using Python, enabling efficient data querying across services and improving developer productivity and API performance.
• Built CI/CD pipelines using Docker and Kubernetes, enabling automated testing, containerized deployments, and zero-downtime releases while reducing manual deployment effort by 25%.
• Optimized database performance across PostgreSQL, MySQL, and MongoDB by implementing indexing, caching, and query optimization strategies, improving query performance by 35%.
• Implemented real-time data streaming pipelines using Apache Kafka, enabling high-throughput, low-latency event processing and improving reliability of distributed applications.


## Education
### Master of Science - MS in Management in Information Systems
University of Memphis


## Contact & Social
- LinkedIn: https://linkedin.com/in/mani-sai-veerlapati-25359b2b3

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Source: https://flows.cv/manisaiveerlapati
JSON Resume: https://flows.cv/manisaiveerlapati/resume.json
Last updated: 2026-04-18