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Hi, I’m Juhi Silpa Chava, a Python developer and AI/ML Engineer with 8+ years of experience designing scalable cloud-native applications, ETL pipelines, and production-grade machine learning systems on AWS. I specialize in AIOps, MLOps, LLM integration, distributed data processing with PySpark, and serverless architectures. I’ve helped reduce alert noise and improve anomaly detection in enterprise banking environments. I’ve led migration projects from on-prem to cloud, built end-to-end ML pipelines, and integrated observability with CloudWatch, Splunk, and Dynatrace. I’m passionate about delivering reliable, scalable ML-powered solutions and collaborating with cross-functional teams to drive measurable business value.…Hi, I’m Juhi Silpa Chava, a Python developer and AI/ML Engineer with 8+ years of experience designing scalable cloud-native applications, ETL pipelines, and production-grade machine learning systems on AWS. I specialize in AIOps, MLOps, LLM integration, distributed data processing with PySpark, and serverless architectures. I’ve helped reduce alert noise and improve anomaly detection in enterprise banking environments. I’ve led migration projects from on-prem to cloud, built end-to-end ML pipelines, and integrated observability with CloudWatch, Splunk, and Dynatrace. I’m passionate about delivering reliable, scalable ML-powered solutions and collaborating with cross-functional teams to drive measurable business value.

Juhi Silpa Chava

Web Developer, Programmer, Data Scientist, +2

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Hi, I’m Juhi Silpa Chava, a Python developer and AI/ML Engineer with 8+ years of experience designing scalable cloud-native applications, ETL pipelines, and production-grade machine learning systems on AWS. I specialize in AIOps, MLOps, LLM integration, distributed data processing with PySpark, and serverless architectures. I’ve helped reduce alert noise and improve anomaly detection in enterprise banking environments. I’ve led migration projects from on-prem to cloud, built end-to-end ML pipelines, and integrated observability with CloudWatch, Splunk, and Dynatrace. I’m passionate about delivering reliable, scalable ML-powered solutions and collaborating with cross-functional teams to drive measurable business value.…Hi, I’m Juhi Silpa Chava, a Python developer and AI/ML Engineer with 8+ years of experience designing scalable cloud-native applications, ETL pipelines, and production-grade machine learning systems on AWS. I specialize in AIOps, MLOps, LLM integration, distributed data processing with PySpark, and serverless architectures. I’ve helped reduce alert noise and improve anomaly detection in enterprise banking environments. I’ve led migration projects from on-prem to cloud, built end-to-end ML pipelines, and integrated observability with CloudWatch, Splunk, and Dynatrace. I’m passionate about delivering reliable, scalable ML-powered solutions and collaborating with cross-functional teams to drive measurable business value.

Available to hire

Hi, I’m Juhi Silpa Chava, a Python developer and AI/ML Engineer with 8+ years of experience designing scalable cloud-native applications, ETL pipelines, and production-grade machine learning systems on AWS. I specialize in AIOps, MLOps, LLM integration, distributed data processing with PySpark, and serverless architectures. I’ve helped reduce alert noise and improve anomaly detection in enterprise banking environments.

I’ve led migration projects from on-prem to cloud, built end-to-end ML pipelines, and integrated observability with CloudWatch, Splunk, and Dynatrace. I’m passionate about delivering reliable, scalable ML-powered solutions and collaborating with cross-functional teams to drive measurable business value.

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Work Experience

Python developer & AI/ML Engineer at Deutsche Bank

May 1, 2023 - Present

Led migration of on-prem alert and incident management systems to a serverless AWS AIOps platform, enabling enterprise-wide data center exit. Built scalable ETL pipelines using AWS Glue, PySpark, Step Functions, and Redshift for real-time and batch analytics. Developed ML-based alert correlation models (DBSCAN, K-Means, Hierarchical), reducing alert volume by ~50% and improving MTTR. Built predictive monitoring and anomaly detection models (XGBoost, Isolation Forest, ARIMA), reducing false positives by ~30%. Implemented AIOps automation workflows for incident enrichment, root-cause analysis, and intelligent tagging using Lambda and SageMaker. Applied NLP techniques to incident data to improve knowledge base recommendations. Integrated CloudWatch, Splunk, and Dynatrace with ML-driven anomaly detection to enhance observability and reduce noise. Exposed ML predictions and real-time analytics via FastAPI-based REST APIs. Led end-to-end ML pipelines and event-driven architectures using Kine

Python Developer & AWS Data Engineer at Ubiety

August 1, 2021 - April 1, 2023

Developed scalable web applications and RESTful APIs using Python, FastAPI, and AWS services. Built object-oriented Python modules for manufacturing quality systems with logging, monitoring, and performance optimization. Designed backend and middleware systems using Python and SQL, supporting business-critical workflows. Performed data analysis and visualization using Pandas, NumPy, Matplotlib, and Tableau. Automated AWS operations using boto3, including scheduled backups and data transfers to S3. Developed AWS Lambda functions with S3 and SQS triggers, integrating DynamoDB, SNS, SQS, and CloudWatch. Implemented TDD practices and created unit tests; built and validated JSON-based REST APIs; implemented CI/CD pipelines using Jenkins.

Python Developer at Peraton

July 1, 2019 - July 1, 2021

Designed and developed end-to-end web applications using Python, Django, HTML5, CSS, and JavaScript. Built Python-based RESTful APIs with Django to support event tracking and analytical processing. Developed object-oriented Python modules with logging, monitoring, debugging, and performance optimization. Performed data cleaning, feature engineering, and numerical analysis using Pandas and NumPy. Implemented web scraping and data extraction; migrated databases from SQLite to MySQL; designed and consumed SOAP-based web services for XML data exchange. Implemented CI/CD pipelines using Jenkins and Docker; collaborated in Agile teams.

Python Developer at Zelis

November 1, 2017 - June 1, 2019

Designed and developed Python/Django web applications for sales analytics and reporting; built Django REST APIs; performed data processing and visualization with Pandas, Matplotlib, and Tableau. Automated AWS operations and data pipelines; performed unit/integration testing; CI/CD with Jenkins and Docker; collaborating in Agile teams.