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Click here or scroll down to respond to this candidateCandidate's Name
E-mail: EMAIL AVAILABLE Phone: (PHONE NUMBER AVAILABLEPROFESSIONAL SUMMARYDynamic Technology Team Lead with over 14 years of industry experience, renowned for exemplary leadership, strategic vision, and delivering innovative solutions tailored to business needs. Proven track record in leading onshore and offshore teams, mentoring team members, and enhancing code quality and performance. Expert in AI/ML projects, full software development lifecycle, scalable platform architecture, object-oriented programming, database design, and agile methodologies. Experienced Scrum Master facilitating sprints and daily standups. Successfully managed and delivered numerous high-impact projects end-to-end, ensuring technical excellence and alignment with business goals.SKILLSLanguages: Python, C#, C, C++, JavaScript, SQL, PERL, javaAI/ML: Pytorch, TensorFlow, H2O, NLP, Ray Cluster, Generative AI, Data Engineering, Prediction ModelsCloud: Azure, AWS, GCPDatabase: MySQL, Oracle, MongoDB, SQLite, PostgreSQL, Hadoop, SequoiaDB, Snowflake, VectorDB, GraphDBFrameworks: Django, Flask, Jinja, Oozie, RabbitMQ, Plotly DashApplication Servers: Apache, AWS, GCP, AzureDesigning Tools: UML, MS-VisioDevelopment Tools: Visual Studio, Sublime, PyCharm, EclipseVersion Control: Git, Bitbucket, MercurialTesting Frameworks: Pytest, Mock, Pyunit, Nose, Selenium, JMeterSearch Optimizers: Solr, Sequoia SearchDeployment Tools: CircleCI, Jenkins, Ansible, Docker, TerraformEDUCATIONMaster of Science in Computer Science (Pacific State University, 2016, USA) GPA: 3.6Bachelor of Engineering in Information Technology (Saurashtra University, 2011, India)PROFESSIONAL EXPERIENCEShutterfly, Plano, TXSr ArchitectMay 2023 - PresentManaged seven key projects, including budgeting, technical deliverables, and client management.Designed and developed distributed micro-services supporting Shutterfly's live production environment.Led onshore and offshore teams, ensuring seamless integration and high performance.Spearheaded an AI LLM project, converting .csv data into VectorDB and graphdb integrating it with LLM for accurate Q&A model generation.Use graphDB to store data in DB.Implemented TrueLense, enhancing Q&A accuracy based on feedback.Collaborated with business stakeholders to understand needs and convert requirements into technical solutions.Provided feasible solutions with POCs and prototypes.Deployed and maintained ongoing development and new features in Google Kubernetes Engine (GKE).Worked extensively with Python and Angular tech stacks, developing Python-based API frameworks and integrating them with Angular applications.Utilized Jenkins for automated deployment via continuous delivery infrastructure, implementing robust CI/CD pipelines.Integrated AWS services, including SageMaker and Lambda, to enhance scalability and performance of AI/ML projects.Develop layer of api with legacy java springboot.Ui components develop in react JS.Key Achievements:Led the development and deployment of cutting-edge generative AI solutions, driving significant business impact.Successfully integrated AWS services, including SageMaker and Lambda, into the AI/ML projects, enhancing scalability and performance.AT&T, Plano, TXAI/ML Lead/ Architect (AWS & Azure)April 2021 - May 2023Designed and developed AI/ML prediction models and data pipelines.Collaborated with business stakeholders to understand requirements and lead technical teams.Use GenAI to populate data to predict data.Utilized Pytorch, TensorFlow, and Ray Cluster for predictive models in the cloud.Implemented advanced AI, ML, and NLP techniques.Developed LLM models, converting data to VectorDB and GraphDB.Built micro-service applications and APIs, and maintained development on Azure AKS.Led backend, frontend, and DevOps teams for ongoing development and deployment.Leveraged AWS services such as SageMaker and Bedrock for building and deploying ML solutions.Develop frontend with react Js.Key Achievements:Enhanced ML model performance through fine-tuning and optimization, significantly improving prediction accuracy.Streamlined data pipeline processes, resulting in a 30% reduction in data processing time.Amgen, Woodland Hills, CASr Technical Lead (AWS)October 2019 - March 2021Designed and architected a global Data Science tool using Python and Django.Led teams to develop microservices for data science workbenches deployed on AWS.Set coding standards and initiated TDD, grooming team members.Integrated automated code review with CI pipelines and developed custom Docker images.Extensively tested backend and frontend applications, developed CI/CD pipelines, and deployed microservices on EC2 instances.Key Achievements:Implemented robust CI/CD pipelines, reducing deployment times by 40%.Pioneered the use of deep learning models for data science applications, achieving high accuracy in predictive analytics.CoreLogic, Oakland, CASr. Software Engineer (GCP Cloud)January 2019 - October 2019Developed and automated a GCP-based image factory application.Built streaming pipelines in Kafka, sourced data from Oracle, IBM DB2, and Spanner DB.Developed reusable modular code with multithreading, logging, and exception handling.Prototyped applications and proposed POCs for design improvements.Key Achievements:Delivered a scalable image factory solution, enhancing operational efficiency.Reduced code redundancy by 20% through modular code development.Elsevier/Bepress, Berkeley, CASr. Python DeveloperDecember 2017 - December 2018Developed CI/CD pipelines and automated testing for Digital Commons Network.Acted as Scrum Master, leading a team in grooming, sprint planning, and reviews.Developed and deployed applications using Python, Django, PostgreSQL, Docker, RabbitMQ, and AWS.Key Achievements:Improved release cycles by 25% through CI/CD pipeline automation.Enhanced application performance and stability, resulting in higher user satisfaction.Apple Inc, Sunnyvale, CAPython DeveloperJanuary 2016 - December 2017Developed ETL APIs for data mining across different databases.Used Pyspark to interact with Hadoop for large datasets.Developed data mining workflows and services health checks, integrated HQL and SQL queries, and automated data pipelines.Key Achievements:Successfully migrated data pipelines to the cloud, improving data accessibility and processing speed.Developed robust ETL processes, ensuring high data quality and consistency.Maahi Milk Producer Company, Rajkot, IndiaSoftware EngineerDecember 2011 - December 2014Managed milk transaction databases and developed custom reports using SQL.Involved in ASP.NET application development and SAP ABAP module implementation.Developed and deployed ration balancing software using C#, HTML, CSS, and Crystal Reports.Dotcom Services (India) Pvt. Ltd., Mumbai, IndiaASP.Net DeveloperNovember 2010 - November 2011Developed backend logic for interactive web pages using C# and ASP.NET.Designed and developed databases using MS SQL.Integrated web services and managed project phases and documentation.GITHUBhttps://github.com/PatibandhaLinkedInhttps://LINKEDIN LINK AVAILABLE |
