Sumanth Kothavari

About Sumanth Kothavari

1.Full stack.NET Developer with 5+ years of experience in designing web application’s using Object - Oriented Design, software design patterns, and used various architectures such as Service Oriented Architecture (SOA), MVC, N-Tier, relational database design and administration. Proficient in HTML5, CSS3, Bootstrap 3/4, and Angular Framework, enabling them to create dynamic Single Page Applications (SPAs) and have knowledge in JavaScript, jQuery, jQuery UI, Ajax, Typeahead, Data Table, Typescript, and client-side frameworks such as Angular 9/11/12, as well as server-side frameworks like ASP.NET. Experienced in working with Azure and Azure functions, as well as developing web applications using ASP.NET web forms and ASP.NET MVC and experience in the Asp.Net Identity Framework and have utilized ADO.NET and ORM tools like Entity Framework and LINQ to SQL for data interaction. Database-related skills include proficiency in developing functions, queries, stored procedures, views, joins, and triggers using T-SQL within the MS SQL Server environment and has also implemented design patterns such as ASP.NET MVC, Unit of Work pattern, and Repository pattern and have worked with iterative Agile methodologies, including SCRUM, as well as Waterfall methodologies and have have experience with Angular 9/11/12 components, directives, pipes, services, and modules, utilizing TypeScript as the programming language.

Experience

1. Python Ai Ml Developer

   Citizens

   Aug 2024 — Present · Frisco, TX, US

   Designed and implemented backend services using Python and Django, leveraging Django’s latest asynchronous capabilities to enhance server-side performance and manage user data effectively.• Utilized PostgreSQL for managing transactional data and MongoDB for handling unstructured data types like logs and user communications, ensuring optimized query performance through modern database engines. •Proficient in data analysis and statistical modeling with R (e.g, ggplot2, cluster, dplyr, caret), Python (e.g, pandas, Keras, PyTorch, NumPy, scikit-learn, bokeh, nltk), as well as scalable tools like Apache Spark (MLlib) and H2O.•Developed automated pipelines for data ingestion, transformation, and feature engineering using big data technologies such as Apache Spark, Hadoop, and Kafka to enable efficient large-scale data processing.•Worked with vector databases and implemented retrieval-augmented generation (RAG) methods to enhance data discovery and contextual search capabilities.•Deployed state-of-the-art NLP solutions using Hugging Face Transformers to analyze customer interactions, extract financial insights, and support credit scoring systems through sentiment analysis and key information retrieval.•Set up monitoring and alerting infrastructure with Prometheus and Grafana, using advanced query and visualization features to deliver real-time insights into application performance and system health.•Integrated MLflow and Kubeflow for end-to-end machine learning lifecycle management, enabling streamlined experiment tracking, artifact management, and model deployment across environments.•Applied GPT-3 for building intelligent customer service solutions, generating dynamic and personalized responses that significantly boosted user engagement and satisfaction.

Education

• KL University

  Engineer's degree

• RAVINDRA BHARTI COLLEGE OF EDUCATION

  High School Diploma