# Manisha Miriyala

> Actively seeking Full time roles || Software Engineer || MS Software Engineering @ SJSU

Location: San Jose, California, United States
Profile: https://flows.cv/manishamiriyala

🚀 Software Engineer | AI/ML Engineer | 3 Years Building Scalable Systems | Master's in Software Engineering

I'm a Software Engineer who thrives at the intersection of backend development, data engineering, and Machine Learning/AI. I specialize in building cloud-native systems and intelligent automation that drive tangible business outcomes.

🖥 Backend & API Development: Built robust microservices and RESTful APIs in Java (Spring Boot) and Python, ensuring secure, scalable data flows. Added rigorous validation and fault-tolerance, leading to near-zero errors in production and highly reliable systems.

📊 Data Engineering & Pipelines: Leveraged Python and Apache Airflow to orchestrate complex data pipelines on AWS. Optimized ETL processes to cut data processing times by ~60%, automating workflows that eliminated manual steps and improved data accuracy.

🤖 AI & LLM Automation: Integrated machine learning models and LLMs (OpenAI APIs, LangChain) into real-world applications to automate tasks and enhance workflows. Developed intelligent document processing solutions achieving over 50% straight-through processing (no human intervention) which significantly accelerated operations.

☁️ Cloud & DevOps: Deployed and scaled containerized services on AWS (EC2, Lambda, S3, DynamoDB) following DevOps best practices. Implemented CI/CD pipelines and monitoring (CloudWatch, dashboards) to ensure quick, reliable releases and high system uptime, while continually tuning performance for efficiency.

🌟 With a Master's in Software Engineering from San Jose State University, I combine deep technical knowledge with a passion for solving real-world problems. Open to roles including Software Engineer, Backend Engineer, or ML Engineer, I'm eager to apply my skills to build impactful solutions and drive innovation on a forward-thinking team.

Let's connect if you're working on challenging engineering problems or interested in AI-powered innovation! Always open to discussing technology, collaboration opportunities, and the future of intelligent systems.

#SoftwareEngineering #AI #BackendDevelopment #DistributedSystems #Innovation #MachineLearning

## Work Experience
### Software Engineer @ Profile DM Inc
Jan 2025 – Present | San Jose, California, United States
• Built a Document-AI pipeline for staffing packets (offers, SOWs, POs, background letters) using OCR + LayoutLM/Donut with rule fallbacks, cutting median processing time by 60% and enabling 53% straight-through processing (STP).
• Orchestrated end-to-end Airflow workflows (ingest, classify, extract, validate, write back) with field accuracy above 98%across 25 key fields.
• Built a validation engine (Pydantic + Great Expectations) enforcing business rules (rate within SOW, start/end dates, approvals), plus OpenSearch for clause/field search and full auditability.
• Stood up monitoring for model/data drift, accuracy by doc type, reviewer-edit deltas, and SLA dashboards, enabling proactive quality and reliability management.

### Software Engineer @ NeuroLeap Corp
Jan 2024 – Jan 2025 | San Jose, California, United States
• Developed a real-time ingestion microservice using Java and Spring Boot, enhancing data reliability at scale.  
• Designed optimized MongoDB schemas and secure REST endpoints for internal analytics and dashboards.  
• Implemented robust error handling and alerts, achieving near-zero failed messages in daily operations.  
• Established safe rollback procedures, minimizing risks during firmware releases at NeuroLeap Corp.

### Software Engineer @ Cognizant
Jan 2021 – Jan 2022 | Hyderabad, Telangana, India
• Integrated Camunda BPMN workflows for escalations and approvals, reducing manual reviews by 35%.  
• Developed secure Node.js/Express REST APIs for position aggregation with input validation and caching.  
• Created React risk-analysis screens and reusable components, enhancing task completion time while adhering to WCAG guidelines.  
• Automated regression testing with Cucumber BDD, stabilizing sprint releases and minimizing manual testing efforts.


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

### Bachelor's degree in Computer Science
KL University


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

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