• 🔭 I’m currently working on Mobile Register

• 🌱 I’m currently learning Machine Learning, AI and python

• 👨‍💻 All of my projects are available at https://www.ravilodhiya.co.uk

• 📝 I regularly write articles on https://blog.ravilodhiya.co.uk

• 💬 Ask me about angular,ionic,nestjs,.net,BDD,

• 📫 How to reach me [email protected]

• 📄 Know about my experiences https://www.ravilodhiya.co.uk

• ⚡ Fun fact Motivation is like a soap. You need to use it daily.

I'm Ravi Lodhiya, a seasoned Full-Stack Developer and Microsoft Certified Professional with over two decades of experience crafting innovative solutions for Small and Medium Enterprises with a focus on Machine Learning Engineering. At Ram Infosystems Limited, I lead a dynamic team in the design, development, and deployment of end-to-end applications using cutting-edge technologies such as .NET Core, C#, Node.js, Angular, and Azure Cloud.

Throughout my career, I've spearheaded numerous projects resulting in measurable business outcomes, including increased efficiency and revenue growth. My expertise spans both front-end and back-end development, with a keen focus on delivering seamless user experiences and robust functionalities.

In addition to my technical prowess, I bring a flair for marketing and sales support, having recently completed an apprenticeship in Eaton Sales Coaching. I excel in generating creative campaigns that elevate brand awareness and drive ROI for clients.

I'm passionate about leveraging technology to empower SMEs to thrive in the digital landscape.

Let's connect and discuss how my Fullstack development skills can contribute to your organization's success!

Results-driven and visionary Software Engineering Manager with a focus on Machine Learning Engineering, leveraging over 22 years of experience in leading and delivering innovative products within the data science domain. Demonstrated ability to architect, engineer, and deploy scalable data solutions, optimizing operations and enhancing customer experience. Adept at collaborating cross-functionally with engineering, data science, and product teams to align technical strategies with business objectives.

• Leadership and Team Management
• Technical Strategy Development
• Recruitment and Talent Acquisition
• Cross-functional Collaboration
• Budget Planning and Forecasting
• System Design and Architecture
• Software Development Lifecycle (SDLC)
• Continuous Improvement and Innovation
• Mentoring and Professional Development
• Stakeholder Management

• Fluent in C#, NestJs, Angular, Python and proficient in multiple programming languages.
• Experienced in version control (Git) and software lifecycle tooling.
• Knowledgeable in common data structures and algorithms.
• Familiar with open-source Data-Science environments and big-data technologies.
• Proficiency in cloud platforms, particularly Azure.
• Understanding of software development methodologies, including Scrum & Kanban.
• Background or understanding of the retail sector, logistics, and/or e-commerce.

Dec 2023 - Present · 3 mosDec 2023 - Present · 3 mos United Kingdom · RemoteUnited Kingdom · Remote

Refactoring the ERP solution to make it 50% more automated and intelligent by reducing the codebase and utilising user engagement with the help of machine learning and AI to automate and streamline the jewellery manufacturing process.

• Spearheaded the technical strategy for machine learning engineering teams, ensuring alignment with broader technology objectives and customer needs.
• Lead recruitment efforts, cultivating a high-performing team of engineering managers and senior engineering talent.
• Collaborate closely with key stakeholders to prioritise initiatives and deliver value-driven solutions.
• Contribute to budget planning and forecasting for the Data Science domain, optimising resource allocation.
• Facilitate group discussions on system design and architecture, fostering innovation and cross-functional collaboration.
• Work collaboratively with Data Scientists, Engineers, and Product teams throughout the software development lifecycle.
• Champion best practices in software development, ensuring the delivery of high-quality, production-ready code and solutions.
• Establish robust support mechanisms for production systems, overseeing incident resolution and root cause analysis.
• Share knowledge and mentor team members, fostering a culture of learning and professional development.
• Apply SDLC practices to create and release resilient software, adhering to industry standards and compliance requirements.

• Currently learning MERN.
• Learning DeepLearning using Keras on top of TensorFlow.