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Lakshmi Vivek Jagabathina
Mid-Level Software Developer specializing in Java/Spring microservices and Salesforce
USASoftware Developer5 years experienceMid-LevelFinancial ServicesBankingTechnology
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About
Backend/AI engineer who built an AI icon-generation SaaS backend (Java/Spring Boot, MongoDB) on AWS, including async job processing with idempotency and S3-based result storage to handle traffic spikes. Also shipped applied AI in finance—an end-to-end fraud detection pipeline with risk scoring—and designed a banking support AI agent with strict guardrails, audit logs, and human-in-the-loop escalation.
Experience
Software DeveloperWells Fargo
Software DeveloperMTX Group Inc
Software DeveloperMaxGen Technologies
Education
University of Maryland, Baltimore Countymaster, Computer Science (2025)
B.V Raju Institute of Technologybachelor, Computer Science (2021)
Key Strengths
- Built and operated production backend APIs on AWS with monitoring (CloudWatch)
- Diagnosed and resolved latency/timeouts under traffic spikes via async job processing, caching, and DB indexing
- Designed reliable async workflows with idempotency and rate-limit handling (exponential backoff/retries)
- End-to-end ownership of an ML fraud detection pipeline from data prep through deployment and monitoring
- Designed AI agent workflows with separation of planning vs execution, tool error handling, and human escalation
- Strong production engineering practices in Python: modular architecture, typing, testing, and observability
- Relational schema design and query performance optimization using composite indexes and query restructuring
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