# PALLAVI HOGALAGERE ANANDAREDDY

> Software Engineer | Java, Python | Microservices & Distributed Systems | AWS | AI/ML (NLP, RAG, LangChain) | Gen AI| Agentic AI|Building Scalable Cloud-Native Solutions

Location: United States, United States
Profile: https://flows.cv/pallavihogalagereanandareddy

Software Engineer with 3+ years of experience building scalable backend systems, cloud-native applications, and AI-powered solutions using Java and Python. Strong expertise in micro services architecture, distributed systems, event-driven design, and REST API development. Proven track record of improving system performance by 30%, reducing operational overhead by 40%, and enhancing reliability in high-availability environments. Hands-on experience with AWS, CI/CD pipelines, Docker, and RAG-based AI systems (Lang Chain, NLP).

## Work Experience
### Software Engineer @ Accenture
Jan 2025 – Present | United States
• Engineered scalable backend services processing 500+ daily transactions using Java, Spring Boot, and Python within a cloudnative architecture.
• Designed and deployed high-performance RESTful APIs, increasing data processing efficiency by 15% and enabling seamless system integration.
• Re-architected monolithic components into micro services, improving scalability, fault tolerance, and independent deployments.
• Optimized AWS infrastructure (EC2, Lambda, Dynamo DB), reducing response latency by 10–15% under peak load.
• Automated CI/CD pipelines using Docker and Git Hub Actions, accelerating release cycles by 20%.
• Diagnosed and resolved critical production issues, reducing MTTR by 25% and improving service reliability.
• Enhanced observe ability using Cloud Watch logging, monitoring, and alerting, enabling proactive issue detection.
• Implemented caching strategies and performance tuning techniques to support low-latency, high-throughput systems.

### Software Engineer @ FIS
Jan 2022 – Jan 2023 | India
• Boosted system throughput by 30% through advanced database indexing and connection pooling optimization.
• Maintained 99.9% uptime across distributed financial systems handling high-volume transactions.
• Reduced query latency by 30%, improving backend performance and user experience.
• Automated operational workflows using Python, reducing manual effort by 40%.
• Mitigated security vulnerabilities through secure coding practices and code reviews.
• Eliminated recurring production issues by 60% using root cause analysis (RCA) and debugging strategies.
• Designed scalable backend modules aligned with event-driven and distributed system architecture principles.
• Re factored legacy systems to improve maintainability, performance, and scalability.


## Education
### Master of Science - MS in Computer Science (Bellini Artificial Intelligence)
University of South Florida

### Bachelor of Engineering - BE in Computer Science
REVA University

### 2nd PUC in PCMB
Gangothri P U college, Srinivaspur, kolar

### 10th
St. Francis DeSales High School, srinivasapura


## Contact & Social
- LinkedIn: https://linkedin.com/in/pallavi212

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Source: https://flows.cv/pallavihogalagereanandareddy
JSON Resume: https://flows.cv/pallavihogalagereanandareddy/resume.json
Last updated: 2026-04-17