Manideep Thodeti

• Project Name: WHS/FP
• Technology & Tools: React, Python, AWS

Description:
The Montefiore Health Care System is a robust and efficient patient management system developed using Python. Designed to streamline the workflow in Montefiore hospitals and clinics, this system enables healthcare professionals to manage patient records, diagnoses, reports, and billing in a secure and user-friendly manner. With role-based access control (RBAC), medical staff can securely log in and perform essential tasks like registering patients, updating medical histories, diagnosing illnesses, generating reports, and managing billing records. The system ensures compliance with healthcare data privacy standards, making it a reliable solution for Montefiore’s healthcare network.

Responsibilities:

• Involved in various phases of Software Development Life Cycle (SDLC) including requirement gathering, design, analysis, and code development.
• Developing responsive UI rich REST Service Applications, Single Page Applications, and HTML wireframes using HTML4, CSS3, JavaScript, React.js, and Bootstrap.
• Developed dynamic, responsive SPAs using React.js, improving load time and user experience.
• Built reusable and modular components using React Hooks, Context API, and functional programming principles.
• Utilized React Router for client-side routing and managed dynamic routes for seamless navigation.
• Built RESTful APIs using FastAPI with features such as async/await, dependency injection, and request validation.
• Generated Django forms to record online user data and used PyTest for writing test cases.
• Developed FastAPI-based microservices in containerized environments using Docker, Kubernetes (K8s), and CI/CD pipelines.
• Optimized API performance using Redis, Memcached, and async task execution with Celery and RabbitMQ.
• Developed web services using Python and processed large datasets with PySpark.
• Managed Amazon EC2 cloud instances using Amazon Images (Linux/Ubuntu) and configured launched instances for application-specific needs.
• Automated infrastructure in AWS using Puppet to provision and manage EC2, Volumes, DNS, and S3.
• Designed and developed scalable serverless applications using AWS Lambda and API Gateway, reducing infrastructure overhead.
• Deployed the application using AWS Elastic Beanstalk for scalable cloud delivery.
• Developed and optimized PL/SQL stored procedures to automate business logic and improve performance.
• Enhanced database performance through SQL tuning and indexing, reducing query execution time by 30%.
• Developed and supported ELT processes for large-scale data migration and integration, ensuring smooth transformation.
• Built all database mapping classes using Django models.
• Used Python scripts to update database content and manipulate files.
• Designed and configured databases, backend applications, and programs.
• Designed and developed integration methodologies between client web portals and existing infrastructure using REST APIs and vendor-specific frameworks.

• Project Name: FinTrust
• Technology & Tools: Python, Django, REST API, MySQL, Oracle, AW
Description:
This project is focused on creating an online web application using the open-source web framework, Django. Designed and developed a highly secure, scalable, and feature-rich online banking platform for Bank of Ireland, transforming traditional banking into a seamless digital experience. This full-stack solution empowers customers with instant fund transfers, AI-driven fraud detection, real-time transaction monitoring, loan applications, and a modern banking dashboard—all while ensuring compliance with European banking regulations (PSD2, GDPR, and KYC standards).

Responsibilities:

• Composed the front end of the application using Python, HTML, CSS, JSON. Worked on the backend of the application, essentially utilizing Active.
• Developed a user-friendly banking dashboard using React.js for seamless customer experience with real-time balance updates, e-statements, and bill payments.
• Designed and implemented microservices-based RESTful APIs using Django REST Framework for banking transactions and user authentication.
• Used MySQL database for writing simple queries and Stored Procedures for normalization and denormalization.
• Created and maintained batch data processing jobs using PL/SQL and scheduling tools for large datasets.
• Integrated multi-factor authentication (MFA) and OAuth2-based security measures to enhance login and transaction security.
• Developed a real-time fraud detection module using machine learning models to analyze transaction patterns and detect suspicious activity.
• Built automated payment and fund transfer systems supporting SEPA, SWIFT, and IBAN transactions.
• Designed a role-based access control (RBAC) system for customers, administrators, and bank staff.
• Collaborated with developers on Python applications for RISK management solutions.
• Improved code reuse and performance using design patterns.
• Implemented CI/CD pipelines using Jenkins, Docker, and Kubernetes for deployment in AWS.
• Integrated third-party APIs for credit score checking, KYC verification, and loan eligibility assessments.
• Optimized PostgreSQL queries for high-performance retrieval of transaction history and account details.
• Enhanced customer experience and security, reducing unauthorized access by 50% with MFA and RBAC.
• Built and maintained Power BI reports for sales, marketing, and finance analytics.

• Project Name: Account Management Automation
• Technology & Tools: SQL, PL/SQL, Python, Pandas, Numpy.
Description:
Account Management Automation is a reporting and management solution built for senior offshore managers to track multiple projects. It automatically sends timesheet alerts to resources for pending weeks and generates key reports like forecast summaries, billing instructions, monthly holiday and leave summaries, invoices, and financial planner reports. The system provides complete tracking of both resources and projects.

Responsibilities:

• Understanding, analysing, and implementing – Business needs, feature modification requests, and converting them into software components.
• Integrated user-oriented elements into various applications and data storage solutions.
• Conducted data validation and reconciliation checks using PL/SQL routines, ensuring accuracy across all ELT pipeline stages.
• Developed backend components to improve performance and responsiveness, including server-side logic, platform support, and statistical learning models.
• Designed and implemented high-availability and low-latency applications with strong data protection and security features.
• Performed performance tuning and application automation to boost system efficiency.
• Worked with Python libraries like Pandas and NumPy for data analysis and processing tasks.