Manhitha

7 years of experience in Python-based web and application development with strong analytical programming expertise. Expertise in Agile and Scrum methodologies, with proven ability to manage sprints, user stories, and backlog items for efficient delivery. Strong proficiency with Python frameworks including Django, Flask, FastAPI, and Pyramid for scalable web solutions.

Solid experience in designing and deploying LLM-powered applications and Agentic AI systems in retail and banking domains. Competent in building dynamic NLP pipelines using LangChain, interpreting user queries and adjusting recommendations in real-time. Exceptional experience with Agentic AI architecture, including planning, reasoning, memory management, and multi-step task execution through advanced prompt engineering techniques.

Skilled in RESTful and GraphQL APIs for efficient microservices integration and front-end communication. Experienced in Single Page Application (SPA) development using Angular, ensuring responsive and dynamic interfaces. Proficient in front-end technologies: HTML5, CSS3, JavaScript, Bootstrap, Angular Material, and jQuery.

Hands-on experience with cloud platforms including AWS (EC2, S3, RDS, IAM, CloudWatch) and GCP, optimizing application deployment and scalability. Applied ML models within applications using Python, Flask/FastAPI, and REST APIs for predictive analytics and automation. Strong backend development expertise in Python and Go, building high-performance, concurrent microservices architectures.

Experienced in CI/CD and DevOps practices using Jenkins, GitHub Actions, Docker, Kubernetes, and Terraform for automated and reliable deployments. Skilled in automated testing using Pytest, ensuring robust, maintainable, and high-quality codebases. Proficient in database design and management using MySQL, PostgreSQL, Oracle, and MongoDB, including stored procedures, triggers, and queries.

Knowledgeable in cloud infrastructure management, container orchestration, and data analytics using Snowflake, Kubernetes, and Terraform.

Experience in version control and collaborative development with Git, GitHub, and integrated CI/CD tools.

Python Developer - Live Oak Bank - Wilmington, NC

(2024-05)

Delivered end-to-end Agile (Scrum) software solutions, including requirements gathering, system analysis, design, development, testing, and deployment.

• Enabled autonomous product recommendations through agentic AI pipelines, utilizing LangGraph and Autogen for reasoning, planning, and multi-step task execution.
• Enhanced product discovery and user behavior analysis by building robust NLP pipelines for sentiment detection, query summarization, and engagement pattern recognition.
• Engineered scalable Python and Django applications using MVT architecture for maintainable and structured code.
• Designed and implemented RESTful APIs and FastAPI services for seamless integration with front-end systems and microservices.
• Developed and optimized ETL pipelines using Python on Azure Databricks to process large-scale structured and unstructured data.
• Developed responsive and interactive Single Page Applications (SPAs) using React, modern JavaScript (ES6+), HTML5, CSS3, and component-based architecture for improved user experience.
• Deployed and managed applications on Microsoft Azure, leveraging services such as Azure App Service, Azure Virtual Machines, Azure Blob Storage, Azure SQL/PostgreSQL, and Azure Monitor.
• Engineered LLM-driven recommendation systems by integrating GPT-4, LangChain, and Hugging Face Transformers, enabling semantic user intent recognition and contextual personalization.
• Automated deployments and continuous integration pipelines using Jenkins, Git, and Shell scripts to improve release efficiency.
• Executed ETL pipelines with PySpark and Python for large-scale data processing and analytics, integrated with PostgreSQL and AWS S3.
• Applied Spark SQL, Pandas, and NumPy for high-performance data transformation and analytical computations.
• Implemented secure applications using JWT-based authentication and role-based access control in FastAPI services.
• Wrote and optimized complex SQL queries, triggers, views, and stored procedures in PostgreSQL, integrating with Django ORM.
• Conducted automated testing and validation using Pytest, ensuring robust and reliable application releases.
• Monitored application performance, availability, and logs using Azure Monitor and Application Insights, proactively resolving issues and optimizing system reliability.
• Ensured production-grade scalability by containerizing GenAI services with Docker and managing deployments using Kubernetes.
• Coordinated cross-functional teams using JIRA and Agile best practices, ensuring timely delivery and high code quality.

Python Developer - Pure Insurance - White Plains, NY

(2022-06 - 2024-03)

Developed dynamic, responsive front-end applications and AI-enabled backend systems for insurance domain.

• Developed dynamic, responsive front-end applications using Angular 10/11, integrating services, custom pipes, and role-based routing for secure navigation.
• Consumed and managed REST and GraphQL APIs in Angular to retrieve, display, and manipulate data efficiently.
• Architected agent-based conversational systems incorporating memory management, prompt chaining, and decision logic to simulate intelligent, context-aware customer support behavior.
• Enhanced domain-specific NLP capabilities by fine-tuning transformer models via Hugging Face and TensorFlow on financial and transactional datasets.
• Applied few-shot learning and dynamic prompt engineering techniques to enable the chatbot to manage complex, multi-turn banking conversations with high contextual accuracy.
• Developed AI-enabled data processing pipelines, including Python scripts to parse JSON documents, preprocess data, and load structured data into databases.
• Designed and implemented Python Django back-end modules with REST API endpoints supporting Angular front-end functionality.
• Automated unit and integration testing using Pytest for backend Python/Django code to ensure code reliability and performance.
• Leveraged Python with OpenStack APIs to automate infrastructure operations, manage resources, and update application data programmatically.
• Built and maintained AWS infrastructure using Boto3, including EC2, S3, ELB, Lambda, and CloudFront, automating deployment and data workflows.
• Integrated AWS Lambda with API Gateway to extend serverless functionalities for Angular applications.
• Developed reusable and modular Angular UI components, ensuring maintainable code and consistent design patterns.
• Developed AI-assisted decision logic allowing users to select different algorithms for data processing and address generation.
• Implemented data visualization dashboards using Angular charts (NG2-charts) and custom pipes for enhanced user insights.
• Optimized front-end performance through lazy loading, code splitting, and efficient API handling.
• Automated deployment and CI/CD processes with Jenkins for both Angular front-end and Django back-end projects.
• Collaborated in Agile teams to design scalable applications, manage sprints, and maintain high-quality deliverables.
• Used Python scripts and Pytest to automate AWS service testing and backend data validation workflows.
• Ensured secure and efficient API integration between Angular and Django REST/GraphQL backends.
• Utilized Git, Jira, and Agile practices to manage version control, issue tracking, and seamless team collaboration.

Python Developer - Health Advocate - Plymouth Meeting, PA

(2021-01 - 2022-06)

Developed dynamic web applications using Python and Django with AWS infrastructure management.

• Developed dynamic web applications using Python 3.8 and Django, creating database models, REST APIs, and views for efficient data handling.
• Built responsive front-end interfaces using Angular 11/12, HTML5, CSS3, and Bootstrap, integrating REST APIs for dynamic data display.
• Implemented Python scripts with Boto3 to manage AWS services, including EC2, S3, Lambda, and automated deployment workflows.
• Designed and consumed REST APIs in Angular to retrieve, filter, and present data using Angular services and pipes.
• Configured AWS infrastructure, including EC2 instances, S3 buckets, Lambda functions, IAM roles, and VPC setup for scalable cloud deployment.