Vinay Donthoju

• Employed Large Language Models (LLM) to automate the manual process of creating Job Descriptions for Job posting.
• Used Langchain and Llama 2 to process large amounts of text data and build a chat model exposed to users via UI.
• Experience in deploying ML applications to AWS cloud using Sage Maker and Terraform.
• Working on large volumes of transactional and customer data and ensuring they are collected, stored, and processed from a variety of sources through the design, construction, and management of data pipelines and infrastructure.
• Create, implement, and scale applications and models for machine learning in lower and production environments.
• Experience in deploying applications Docker, Kubernetes, and AWS platform.
• Experience in working with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Experience in AWS Architecture and its services, interference of model on AWS. Collaborate with data scientists to convert ML modeling experiments to production-grade ML systems.
• Create and support Terraform templates for constructing highly scalable ML infrastructure that can perform model training and evaluation on a massive scale.
• Experience in working with CI/CD pipelines and tools such as Jenkins, Spinnaker, Bitbucket, Splunk, CloudWatch, Grafana, Dynatrace, and Terraform.

Skills: Large Language Models (LLM), Generative AI, Natural Language Processing (NLP), MLOps, Machine Learning, Deep Learning, Amazon Web Services (AWS), Terraform, Python (Programming Language), Continuous Integration and Continuous Delivery (CI/CD), AWS Sage Maker, PyTorch, TensorFlow, Keras, scikit-learn.

• Involved in various phases of Software Development Life Cycle (SDLC) and worked in a highly dynamic AGILE environment and participated in Scrum and Sprint meetings.
• Scale solutions around data volumes, budget, SLAs, infrastructure.
• Deploy and scale distributed systems in a cloud environment with AWS implementations.
• Apply advanced knowledge of architecture and design across all systems and cloud computing environments.
• Develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.
• Demonstrate advanced knowledge of applications, data, and infrastructure architecture disciplines.
• Strong working knowledge of Python ML related libraries like sklearn, pandas and NumPy.
• Proven track record overseeing machine learning projects at all stages, from initial conception to implementation and optimization.

Skills: Python (Programming Language), Java, NumPy, Pandas, Exploratory Data Analysis · Microservices, Spring Framework, Pivotal Cloud Foundry (PCF), Continuous Integration and Continuous Delivery (CI/CD), Docker, Kubernetes, Amazon Web Services (AWS)

• Executed SDLC pipelines independently that run synchronously with appropriate systems for test driven development and quality assurance.
• Created secure and high-quality production code using Python and maintains algorithms that run synchronously with appropriate systems.
• Worked proficiently with DevOps tools, design, development, software development tools and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identified hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies and adds to team culture of diversity, equity, inclusion, and respect.
• Reviewed project specifications and designed technology solutions that met or exceeded performance expectations.
• Integrated third-party tools and components into applications.

Skills: Python (Programming Language), Java, Spring Boot, Microservices, Git, Continuous Integration and Continuous Delivery (CI/CD), Linux, DevOps, Pivotal Cloud Foundry (PCF), Amazon Web Services (AWS)

• Build and evolve high performance, scalable systems both on-prem and in Cloud Foundry to support the current and future demands on our robust platforms
• Resolved technical issues in the client's systems by conducting thorough analysis and educating them to prevent further issues.
• Developed, and managed the reliability of a diverse range of critical infrastructure systems, services, tools, and automation.
• Led the end-to-end architecture and development of machine learning solutions.
• Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions.
• Be a part of a highly productive and creative engineering team.
• Establish, refine, and integrate development and test environment tools and software as needed.

Skills: Python (Programming Language), Java, DevOps, Amazon Web Services (AWS), Pivotal Cloud Foundry, Continuous Integration and Continuous Delivery (CI/CD), Git