# Mamatha Singh

> Software Engineer | AI/ML | AWS | Python | Java

Location: New York, New York, United States
Profile: https://flows.cv/mamatha

Software Engineer with mid-level experience building scalable, high-performance backend systems using Java, Spring Boot, and microservices architecture. I specialize in designing real-time, event-driven systems with Kafka and optimizing applications for performance and reliability.
 
I’ve built systems that process millions of transactions, improved performance through caching and distributed design, and deployed cloud-native applications on AWS using Docker and Kubernetes.
 
Recently, I’ve been exploring GenAI working with LLMs, RAG pipelines, and semantic search to build smarter, more personalized user experiences.
 
Always open to opportunities where I can solve complex engineering problems and build impactful systems.

## Work Experience
### Student Assistant @ Yeshiva University
Jan 2025 – Jan 2025 | New York, United States
•	Designed and implemented an AI-powered chatbot for university students, leveraging large language models (LLMs) to answer academic, administrative, and campus-related queries.
•	Integrated the chatbot with university portals and databases, enabling real-time access to course schedules, exam results, and campus events.
•	Utilized NLP techniques and prompt engineering to improve response relevance, achieving over 90% accuracy in addressing student inquiries.
•	Collected user feedback and applied continuous learning pipelines to fine-tune the chatbot, enhancing user satisfaction and engagement.

### Software Developer @ Accenture
Jan 2021 – Jan 2024 | India
I played a pivotal role in developing scalable API infrastructure at Accenture, ensuring high availability and performance during peak traffic.  

•	Engineered a high-performance RESTful API using Java and Spring Boot to serve real-time transaction data, providing personalized spending insights for millions of users.
•	Integrated a rule-based categorization engine to automatically map raw merchant data into financial categories with a 99.9% classification accuracy rate.
•	Optimized system performance by utilizing Redis for frequent data lookup caching, reducing backend database load by 35%.
•	Enhanced user experience by improving UI data retrieval speeds by 30% through strategic caching and API optimization.
•	Leveraged Kafka to ingest and process 1.2M+ daily transactions, ensuring synchronized account analytics with sub-second latency.
•	Deployed and managed scalable API infrastructure on AWS using Docker and Terraform to ensure high availability.
•	Architected the system to handle 3x surges in traffic during peak transaction periods, maintaining stability and performance.

### Associate Software Engineer @ Cognizant
Jan 2020 – Jan 2021
I played a pivotal role in enhancing a local networking platform's performance and reliability.  

• Developed Java Spring Boot REST APIs, supporting real-time chat and user interactions for 10K+ users.  
• Utilized Docker for microservices, improving deployment efficiency and scalability during peak usage.  
• Integrated Apache Kafka for processing over 5K events per minute, ensuring low-latency delivery.


## Education
### Master of Science - MS in Data Analytics and Visualisation
Yeshiva University

### Bachelor of Technology - BTech in Information Technology
INSTITUTE OF AERONAUTICAL ENGINEERING


## Contact & Social
- LinkedIn: https://linkedin.com/in/mamatha-singh
- Website: https://mamatha-99.github.io/mamatha-portfolio/

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Source: https://flows.cv/mamatha
JSON Resume: https://flows.cv/mamatha/resume.json
Last updated: 2026-04-05