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I'm Pravallika, a Python Full Stack Developer with 8+ years of experience delivering enterprise-grade solutions across aerospace, healthcare, and energy. I specialize in Python, Django, FastAPI, Flask, and ReactJS, and I design scalable RESTful and event-driven APIs, real-time data pipelines, and microservices using MQTT, WebSockets, FHIR, and HL7 protocols.\n\nI also bring a strong ML foundation, including anomaly detection and predictive maintenance, with model deployment on AWS Lambda and containerized environments. I love building interactive dashboards with ReactJS, Redux, Highcharts, Tableau, and Kibana to empower engineering and business teams, and I thrive in cloud-native, CI/CD-driven environments on AWS, Azure, and GCP.…I'm Pravallika, a Python Full Stack Developer with 8+ years of experience delivering enterprise-grade solutions across aerospace, healthcare, and energy. I specialize in Python, Django, FastAPI, Flask, and ReactJS, and I design scalable RESTful and event-driven APIs, real-time data pipelines, and microservices using MQTT, WebSockets, FHIR, and HL7 protocols.\n\nI also bring a strong ML foundation, including anomaly detection and predictive maintenance, with model deployment on AWS Lambda and containerized environments. I love building interactive dashboards with ReactJS, Redux, Highcharts, Tableau, and Kibana to empower engineering and business teams, and I thrive in cloud-native, CI/CD-driven environments on AWS, Azure, and GCP.

Pravallika

Full Stack Developer, AI Engineer, Data Scientist, +6

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I'm Pravallika, a Python Full Stack Developer with 8+ years of experience delivering enterprise-grade solutions across aerospace, healthcare, and energy. I specialize in Python, Django, FastAPI, Flask, and ReactJS, and I design scalable RESTful and event-driven APIs, real-time data pipelines, and microservices using MQTT, WebSockets, FHIR, and HL7 protocols.\n\nI also bring a strong ML foundation, including anomaly detection and predictive maintenance, with model deployment on AWS Lambda and containerized environments. I love building interactive dashboards with ReactJS, Redux, Highcharts, Tableau, and Kibana to empower engineering and business teams, and I thrive in cloud-native, CI/CD-driven environments on AWS, Azure, and GCP.…I'm Pravallika, a Python Full Stack Developer with 8+ years of experience delivering enterprise-grade solutions across aerospace, healthcare, and energy. I specialize in Python, Django, FastAPI, Flask, and ReactJS, and I design scalable RESTful and event-driven APIs, real-time data pipelines, and microservices using MQTT, WebSockets, FHIR, and HL7 protocols.\n\nI also bring a strong ML foundation, including anomaly detection and predictive maintenance, with model deployment on AWS Lambda and containerized environments. I love building interactive dashboards with ReactJS, Redux, Highcharts, Tableau, and Kibana to empower engineering and business teams, and I thrive in cloud-native, CI/CD-driven environments on AWS, Azure, and GCP.

Available to hire

I’m Pravallika, a Python Full Stack Developer with 8+ years of experience delivering enterprise-grade solutions across aerospace, healthcare, and energy. I specialize in Python, Django, FastAPI, Flask, and ReactJS, and I design scalable RESTful and event-driven APIs, real-time data pipelines, and microservices using MQTT, WebSockets, FHIR, and HL7 protocols.\n\nI also bring a strong ML foundation, including anomaly detection and predictive maintenance, with model deployment on AWS Lambda and containerized environments. I love building interactive dashboards with ReactJS, Redux, Highcharts, Tableau, and Kibana to empower engineering and business teams, and I thrive in cloud-native, CI/CD-driven environments on AWS, Azure, and GCP.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Python Full Stack Developer at Boeing

June 1, 2024 - Present

Developed AeroFleet360, a real-time web application for fleet management and predictive maintenance, reducing downtime and enhancing operational efficiency. Built machine learning models for component degradation prediction, developed deep learning solutions for defect detection, and implemented NLP for operational insights. Created data ingestion pipelines using PySpark and Airflow, developed interactive dashboards with Plotly Dash and Flask, and automated deployment workflows using CI/CD tools like GitLab and Jenkins. Integrated applications across Azure and AWS cloud services ensuring performance and reliability.

Python Developer at Gainwell

May 31, 2024 - September 2, 2025

Built a healthcare data management and analytics platform enabling efficient patient data handling and compliance. Developed responsive front-end interfaces with React, designed machine learning models predicting patient readmissions and fraud detection, and built distributed data pipelines with Spark and PySpark. Implemented ETL workflows on AWS Redshift and Snowflake, developed scalable backend services using Django, and containerized microservices with Docker and Kubernetes. Automated cloud infrastructure provisioning and CI/CD pipelines, and created interactive dashboards visualizing patient and hospital metrics.

Python Developer at Wipro

December 31, 2021 - September 2, 2025

Developed a robust Python/Django based web application integrated with GCP for scalable cloud services. Delivered data processing and visualization solutions using Python, Matplotlib, and High Charts. Integrated AWS infrastructure and developed auxiliary internal web apps with AngularJS and Bootstrap. Built REST APIs and deployed microservices on Azure, working with big data technologies like Pyspark and Hadoop. Utilized various databases including MySQL and MongoDB, improved code quality via GitHub code reviews, and participated in full project lifecycle from design to deployment.

Python Full Stack Developer at Boeing

June 1, 2024 - Present

Developed AeroFleet360, a real-time web application supporting Boeing's fleet management. Designed predictive maintenance machine learning models and built data pipelines for real-time aircraft sensor data analysis. Implemented deep learning for defect detection in aircraft parts and developed dashboards for real-time engine and system insights. Automated model training and deployment with CI/CD and containerized applications for consistent environment management. Integrated solutions across Azure and AWS cloud platforms to monitor and ensure reliability.

Python Developer at Gainwell

May 31, 2024 - September 4, 2025

Built responsive healthcare data management platform interfaces and developed ML models for patient readmission prediction, fraud detection, and medical imaging classification. Created distributed data processing pipelines with Spark, designed ETL workflows, and optimized complex SQL queries to support analytics and modeling. Developed scalable backend services and containerized microservices with Docker and Kubernetes. Automated cloud provisioning on AWS and Azure, implemented CI/CD pipelines, monitored system health for compliance, and created interactive dashboards for healthcare analytics.

Python Developer at Wipro

December 31, 2021 - September 4, 2025

Developed robust web applications using Python/Django, integrating AWS and GCP cloud services for scalability and security. Created data visualization and reporting tools using matplotlib and High Charts, and gathered social media data for analytics. Developed REST APIs, microservices, and implemented customer data analytics with PySpark and Hadoop. Conducted code reviews, developed Lambda functions, and deployed cloud-based solutions. Worked with multiple databases and open-source data infrastructure projects to enhance application performance and data processing capabilities.

Python Full Stack Developer at Boeing

June 1, 2024 - October 27, 2025

Designed and implemented scalable RESTful APIs using Django and FastAPI to expose real-time aircraft telemetry, predictive models, and anomaly detection services. Built event-driven microservices with FastAPI, MQTT, and WebSockets to deliver low-latency alerts and fleet health updates. Implemented token-based authentication and RBAC in alignment with aerospace data policies. Developed ML-enabled predictive maintenance models (RUL estimation, survival analysis) deployed as backend services for real-time inference. Created interactive dashboards with ReactJS/Redux and integrated Highcharts for fleet visualization. Deployed ML services on AWS Lambda and Docker, with automated retraining via Apache Airflow. Implemented centralized logging with ELK and monitoring with CloudWatch.

Python Full Stack Developer at Gainwell

May 1, 2024 - May 1, 2024

Designed RESTful APIs in Django for patient data, treatments, and appointments; integrated FHIR/HL7 APIs for interoperability with external hospital systems. Built real-time notifications using Django Channels and WebSockets; developed healthcare UIs in React/Redux; ensured secure token-based API transactions. Designed relational schemas in PostgreSQL and used MongoDB for semi-structured notes. Deployed to Azure App Services with Azure Key Vault and Monitor, and implemented CI/CD pipelines via Azure DevOps. Wrote unit tests (pytest) and automated E2E tests (Selenium); configured live monitoring with Application Insights.

Python Full Stack Developer at Chevron

December 1, 2021 - December 1, 2021

Built Python/Django REST APIs for client data management and operational workflows; developed Flask microservices for modular reporting; integrated third-party APIs for external data ingestion and analytics. Created interactive dashboards with AngularJS/ReactJS and visualizations using Highcharts/matplotlib. Implemented data processing pipelines with Pandas/NumPy; leveraged AWS services (S3, Lambda, DynamoDB) for scalable storage and serverless compute; wrote Lambda handlers for event-driven processing and S3 triggers. Used Tweepy to ingest Twitter data for sentiment analysis and stored results in JSON. Contributed to CI/CD pipelines and Agile practices.

Python Full Stack Developer at Boeing

June 1, 2024 - November 3, 2025

AeroFleet360 is a real-time, AI-powered fleet management platform designed to optimize Boeing’s aircraft operations. Responsibilities included designing and implementing scalable RESTful APIs in Django and FastAPI, developing event-driven microservices with FastAPI + MQTT + WebSockets for real-time alerts, integrating token-based authentication, building predictive maintenance models (scikit-learn, XGBoost, TensorFlow), developing anomaly-detection pipelines (Isolation Forest, One-Class SVM), implementing Remaining Useful Life (RUL) estimation, building interactive dashboards with ReactJS + Redux + Highcharts/Tableau, UI components connected via WebSockets, and deploying ML services on AWS Lambda with Docker. Also involved cloud/resource management (S3, Glue, CloudWatch), automated ML retraining via Apache Airflow, and centralized logging with the ELK stack and CloudWatch monitoring.