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I am a Software Engineer with 3+ years of experience building large-scale financial compliance and fraud-detection platforms using Python, Django, Flask, React, AWS, Docker, Kubernetes, and CI/CD automation. I design microservices, develop real-time analytics dashboards, and optimize cloud-native architectures. I also work in AI engineering, including transformer models, semantic search, anomaly detection, embeddings, clustering, and time-series forecasting. I am adept at integrating MLOps pipelines, vector databases, and scalable data workflows to drive risk insights and high-performance engineering outcomes.…I am a Software Engineer with 3+ years of experience building large-scale financial compliance and fraud-detection platforms using Python, Django, Flask, React, AWS, Docker, Kubernetes, and CI/CD automation. I design microservices, develop real-time analytics dashboards, and optimize cloud-native architectures. I also work in AI engineering, including transformer models, semantic search, anomaly detection, embeddings, clustering, and time-series forecasting. I am adept at integrating MLOps pipelines, vector databases, and scalable data workflows to drive risk insights and high-performance engineering outcomes.

Monika Lakshmi Jampani

Web Developer, Full Stack Developer, Back-End Developer, +2

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I am a Software Engineer with 3+ years of experience building large-scale financial compliance and fraud-detection platforms using Python, Django, Flask, React, AWS, Docker, Kubernetes, and CI/CD automation. I design microservices, develop real-time analytics dashboards, and optimize cloud-native architectures. I also work in AI engineering, including transformer models, semantic search, anomaly detection, embeddings, clustering, and time-series forecasting. I am adept at integrating MLOps pipelines, vector databases, and scalable data workflows to drive risk insights and high-performance engineering outcomes.…I am a Software Engineer with 3+ years of experience building large-scale financial compliance and fraud-detection platforms using Python, Django, Flask, React, AWS, Docker, Kubernetes, and CI/CD automation. I design microservices, develop real-time analytics dashboards, and optimize cloud-native architectures. I also work in AI engineering, including transformer models, semantic search, anomaly detection, embeddings, clustering, and time-series forecasting. I am adept at integrating MLOps pipelines, vector databases, and scalable data workflows to drive risk insights and high-performance engineering outcomes.

Available to hire

I am a Software Engineer with 3+ years of experience building large-scale financial compliance and fraud-detection platforms using Python, Django, Flask, React, AWS, Docker, Kubernetes, and CI/CD automation. I design microservices, develop real-time analytics dashboards, and optimize cloud-native architectures.

I also work in AI engineering, including transformer models, semantic search, anomaly detection, embeddings, clustering, and time-series forecasting. I am adept at integrating MLOps pipelines, vector databases, and scalable data workflows to drive risk insights and high-performance engineering outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Software Engineer at KPMG

January 1, 2024 - Present

Architected a Django-based financial compliance engine processing 2.1M monthly records, containerized workflows using Docker, and deployed optimized microservices on AWS ECS for 29% faster audit evaluations. Developed React dashboards visualizing transaction anomalies, improving investigator review speed by 33%, integrating secure API gateways, and audit-trail automation supporting regulatory teams across multi-state compliance operations. Automated CI/CD pipelines using GitHub Actions, reducing release cycle time from weekly to daily, integrating Terraform modules and AWS Secrets Manager to strengthen security and deployment reliability controls. Designed transformer-based anomaly scoring models analyzing 18 behavioral indicators, increasing fraud-flag accuracy by 21%, supported with explainability workflows improving auditor confidence during compliance investigations. Engineered semantic-search pipelines using vector embeddings to retrieve historical fraud cases 41% faster, supporti

Software Engineer at HCL Technologies

November 1, 2020 - July 1, 2022

Created a Flask-based fraud-screening API processing 1.4M monthly transactions, deployed scalable services on Kubernetes, improving system resilience under peak workloads for BFSI compliance operations. Built React interfaces enabling real-time case triage with configurable thresholds, shortening analyst decision cycles by 28% and strengthening fraud-prevention workflows across global operational hubs. Automated container orchestration for fraud microservices using Kubernetes Jobs and Horizontal Pod Autoscalers, enhancing throughput consistency and improving SLA adherence across variable ingestion patterns. Implemented distributed caching and optimized event pipelines reducing fraud-event processing latency by 37%, improving downstream risk-scoring accuracy for large-volume financial systems. Designed clustering models grouping recurring suspicious activity patterns, identifying five high-risk behavioral cohorts that improved fraud triage precision for internal risk teams. Built anomal