# Mahenaz  Amreen

> Software engineer

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

San Jose State University graduate with a Master's in Computer Engineering, currently contributing as a Software Engineer. Developed backend services using Python and Flask to enhance real-time transaction filtering, reducing query response times by 30%. Built responsive client-facing dashboards with Angular, optimizing user experience across platforms.  

Proficient in Python, Flask, and CI/CD pipelines, with hands-on experience in AWS CodeDeploy and CodePipeline, enabling efficient production releases. Motivated to deliver scalable, high-performance solutions in FinTech, leveraging technical expertise and a passion for innovation.

## Work Experience
### Software engineer ML @ Procyon Technostructure
Jan 2025 – Present | San Jose, CA
Shielded crucial financial services by deploying JWT authentication to reinforce API security, achieving a 99.99% API
uptime and satisfying SOC2 compliance within the second quarter.
Initiated Redis caching mechanisms for critical analytics endpoints, accelerating response times by 30% during peak load
periods and delivering a more responsive user experience.
Pioneered the transition to a Flask based backend microservice using AWS Lambda and API Gateway, minimizing
infrastructure management overhead by 30% and speeding up development cycles for the team.
Orchestrated project workflows and sprint ceremonies using Jira, enhancing team collaboration and on-time delivery of key
features aligned with business objectives, boosted feature release velocity by 20%.

### Software Engineer @ Morgan Stanley
Jan 2024 – Jan 2025 | Alpharetta, Georgia, United States
● Revolutionized data retrieval, integrating a robust web crawler using Python, Beautiful Soup, and requests enhancing
data feed efficiency to the LLM pipeline by 60% and improving speed by 45%.
● Launched a Vector Embeddings Generation service with Django, Apache POI, and PySpark, slashing manual processing
time by 50% and improving data accessibility across the platform.
● Standardized end-to-end pipeline deployments with Python-based scripts, slashing release overhead by 30% and ensuring
consistent, reproducible environments for all project teams.
● Integrated RAG techniques using Python, Elasticsearch, and OpenAI APIs, reducing query processing time by 35% and
improving the scalability of data processing pipelines.
● Engineered NoSQL data architectures using MongoDB for schema-less data repositories, which accelerated query
processing speeds by 30% and supported real-time analytics dashboards for stakeholders.
● Streamlined payment events through Kafka with Python based microservices, enhancing system resilience and scalability
for high-volume processing during peak hours in Q4, a critical time for the company.

### Associate Software Engineer @ Accenture
Jan 2020 – Jan 2022 | India
•	Developed and deployed over 100 RESTful APIs using Spring Boot's ORM, JPA, and Hibernate on AWS.
•	Optimized backend infrastructure by implementing caching mechanisms and load balancing, resulting in a notable 40% reduction in response time and improved system performance.
•	⁠Optimized backend infrastructure by implementing AWS Elastic Load Balancer (ELB), AWS CloudFront, and AWS RDS connection pooling, resulting in a 40% reduction in response time and improved system performance.
•	⁠Implemented performance optimizations using AWS CloudWatch metrics and AWS X-Ray tracing, leading to a 20% increase in system throughput.
•	Revolutionized Kafka message replay mechanisms to simulate and troubleshoot production issues, improving debugging efficiency by 40%.

### Software Engineer Intern @ Internshala
Jan 2019 – Jan 2019 | India


## Education
### Master's degree in Computer Engineering
San José State University

### Bachelor of Engineering - BE in electronics and communication engineering
Chaitanya Bharathi Institute Of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/mahenaz
- Portfolio: https://mahenazamreen-portfolio.vercel.app/

---
Source: https://flows.cv/mahenaz
JSON Resume: https://flows.cv/mahenaz/resume.json
Last updated: 2026-04-10