Prakash M

6.5 years of experience in product development, including ecommerce, web application, and web crawler using Python technologies and cisco network, Cloud Management, Generative AI and Machine Learning and Kubernetes. Implemented ecommerce modules, interfaces, APIs, and developed custom reports, including tabular reports, matrix reports, and distributed reports in multiple formats using efficient data retrieval techniques. Strong knowledge of languages such as Python, Django, Scrapy, Beautiful Soup, and RegEx. Apache, Azure, JIRA, Nginx, CSS, HTML, AWS, Django Rest, Flask, Django Ajax, jQuery, JavaScript, data science, AI,

• Tamil, Native or Bilingual Proficiency
• English, Full Professional Proficiency

• Music
• Cricket

Elite Site Optimizer, Requirement gathering and analysis of the given project description., Involved in sprint planning, daily scrum, sprint review meeting, and sprint retrospective., Template and User Interface design and implementation., Developer user profiles, new ranking interfaces, rank trend analysis, rank comparison, keyword research, sitemap report, link analysis, on page SEO elements report, Google analytics and readability and content audits., Developed Django admin modules and interfaces for plan based access and settings., Integrated APIs such as Google Analytics, Google Web Master Tool, SEMrush and Data-for-SEO., Managed code using GitHub Version Control environment. ElitemCommerce, Requirement gathering and analysis of the given project description., Involved in sprint planning, daily scrum, sprint review meeting, and sprint retrospective., Designed and implemented database, Restful API functions., Template and User Interface design and implementation., Developed drag and drop mobile app builder for product module, category module, deals and offers module, and home page builder., Developed Django Admin modules for role based access, settings, license keys and security modules., Integrated APIs between Ecommerce website, consumer API functions for mobile app builder application, and Producer API functions for mobile applications., Implemented Celery queue system., Managed code using GitHub Version Control environment., Developed user registration, login, account pages and admin end functionalities., Performing the unit test for each module. Shapes DOMS - Django ERP, Requirement gathering and analysis of the given project description., Involved in sprint planning, daily scrum, sprint review meeting, and sprint retrospective., Template and User Interface design and implementation., Developed models for each work activity in the foundry process, implemented CRUD functions, generated administrative reports and chart interfaces for the management and email notifications., Developed Django Admin modules and interfaces for different user roles, and staffs., Managed code using GitLab, Jenkins CI environment., Performing the unit test for each module. Anetnext, Gather and refine specifications and requirements based on technical needs., Designing the Model and database schema., Database management based on the Project structure. (Maintaining database in Google Cloud service), Writing well designed, testable, efficient code by using best software development practices (PEP8 code standard)., Integrating data from various back-end services, databases and API services., Deployment using the Google App Engine. (Google app engine provide option for Deployment and Rollback the code in to the server)., Responsible for maintaining, expanding, and scaling our site. (Updating the Code to the update version of Django and Python)., Stay plugged into emerging technologies/industry trends and apply them into operations and activities. Create and maintain software documentation. Getting product info from multiple eCommerce website., Evaluate the test case scenarios identified and, the possibilities and advantages of automating them., Automate the certification test cases by automating the web-based Test Harness tool provided by the Thread Group, using Python + Scrapy., Implement the in-house certification test case scripts to reduce the complexity involved in Thread Harness tool and use them as a model for implementing use-case/customer scenarios test cases., Export all the above test cases to Jenkins to create daily builds, pre-commit builds and tests, and other jobs as per the growing requirements.

Summary: Developed and managed a robust virtualized infrastructure utilizing Kubernetes and Cisco technologies, enhancing scalability and operational efficiency in cloud environments.

Key Technologies and Skills:

• Kubernetes: Deployed and managed containerized applications using Kubernetes, enabling automated deployment, scaling, and management of applications across clusters.
• Cisco Technologies: Integrated Cisco networking solutions with Kubernetes to optimize network performance and security within virtualized environments.
• Virtualized Infrastructure: Designed and implemented virtualized infrastructure solutions, leveraging tools such as Cisco ACI and VMware for efficient resource management and scalability.
• Python Development: Utilized Python for automation scripts and API integrations, enhancing the deployment and management processes within the Kubernetes environment.
• CI/CD Pipelines: Implemented continuous integration and continuous deployment (CI/CD) pipelines to streamline application updates and maintain high availability.
• Monitoring and Logging: Set up monitoring and logging solutions (e.g., Prometheus, Grafana) to track application performance and ensure system reliability.

Impact:

• Achieved significant improvements in application deployment times and operational efficiency through automation and orchestration.
• Enhanced scalability of applications to meet varying demand, resulting in improved user experience and resource utilization.

Summary: Developed a generative AI application utilizing LangChain, Gemini embeddings, and Streamlit for processing and analyzing PDF data, enhancing information retrieval and user interaction.

Key Technologies and Skills:

• Generative AI: Leveraged generative AI techniques to create a responsive application capable of understanding and answering queries based on PDF content.
• LangChain: Utilized LangChain for building the application’s architecture, enabling seamless integration of various components such as embeddings and language models.
• Gemini Embeddings: Employed Gemini for creating high-quality embeddings from PDF data, improving the accuracy and relevance of information retrieval.
• Streamlit: Designed and implemented a user-friendly interface using Streamlit, facilitating real-time interaction with the AI model for querying PDF documents.
• Data Processing: Implemented text extraction and preprocessing techniques to convert PDF content into a format suitable for model training and querying.
• Question Answering: Developed a question-answering system that dynamically generates responses based on user queries and the extracted content from PDFs.

Impact:

• Improved user experience by providing quick and accurate answers to queries related to PDF content.
• Enhanced the efficiency of information retrieval processes through intelligent embedding and generative capabilities.