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I am Rakshitha M N, a Generative AI Engineer based in Dubai with a strong track record delivering scalable AI solutions in GenAI/ML model deployment. I excel at building multi-agent systems, AI chatbots, and intelligent tooling that boost productivity and user engagement. I thrive in collaborative, fast-paced environments and apply Responsible AI practices to governance and ethics. I have hands-on experience leading end-to-end AI initiatives at Intel, including content automation, onboarding chatbots, resume screening, and regression analysis tooling. I'm passionate about turning complex data and AI capabilities into practical, business-ready solutions.…I am Rakshitha M N, a Generative AI Engineer based in Dubai with a strong track record delivering scalable AI solutions in GenAI/ML model deployment. I excel at building multi-agent systems, AI chatbots, and intelligent tooling that boost productivity and user engagement. I thrive in collaborative, fast-paced environments and apply Responsible AI practices to governance and ethics. I have hands-on experience leading end-to-end AI initiatives at Intel, including content automation, onboarding chatbots, resume screening, and regression analysis tooling. I'm passionate about turning complex data and AI capabilities into practical, business-ready solutions.

Rakshitha M N

AI Engineer, Developer, AI Prompt Engineer, +5

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I am Rakshitha M N, a Generative AI Engineer based in Dubai with a strong track record delivering scalable AI solutions in GenAI/ML model deployment. I excel at building multi-agent systems, AI chatbots, and intelligent tooling that boost productivity and user engagement. I thrive in collaborative, fast-paced environments and apply Responsible AI practices to governance and ethics. I have hands-on experience leading end-to-end AI initiatives at Intel, including content automation, onboarding chatbots, resume screening, and regression analysis tooling. I'm passionate about turning complex data and AI capabilities into practical, business-ready solutions.…I am Rakshitha M N, a Generative AI Engineer based in Dubai with a strong track record delivering scalable AI solutions in GenAI/ML model deployment. I excel at building multi-agent systems, AI chatbots, and intelligent tooling that boost productivity and user engagement. I thrive in collaborative, fast-paced environments and apply Responsible AI practices to governance and ethics. I have hands-on experience leading end-to-end AI initiatives at Intel, including content automation, onboarding chatbots, resume screening, and regression analysis tooling. I'm passionate about turning complex data and AI capabilities into practical, business-ready solutions.

Available to hire

I am Rakshitha M N, a Generative AI Engineer based in Dubai with a strong track record delivering scalable AI solutions in GenAI/ML model deployment. I excel at building multi-agent systems, AI chatbots, and intelligent tooling that boost productivity and user engagement. I thrive in collaborative, fast-paced environments and apply Responsible AI practices to governance and ethics.

I have hands-on experience leading end-to-end AI initiatives at Intel, including content automation, onboarding chatbots, resume screening, and regression analysis tooling. I’m passionate about turning complex data and AI capabilities into practical, business-ready solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Hindi

Advanced

German

Beginner

Kannada

Fluent

Work Experience

Generative AI Engineer

November 1, 2023 - Present

Led the development of a CrewAI-powered multi-agent system with memory-enabled agents to automate goal-oriented newsletter content creation and distribution. Implemented specialized agents for content generation, validation, and formatting, orchestrated via an agent controller using task decomposition and goal-driven execution. Leveraged long- and short-term memory in agents to maintain editorial context, reducing preparation time by 70% and boosting content accuracy and engagement.

AI Engineer at Intel

October 1, 2024 - August 21, 2025

Developed an AI-driven onboarding Chatbot to automate training for new hires, providing interactive guidance on team-specific tools, workflows, and methodologies. Optimized user interaction via Chatbot, offering real-time support and managing key information for over 200 debug cases, resulting in a 60% improvement in resolving common issues. Engineered the solution using Python and integrated the PyTest framework, validating robustness with 80% code coverage.

AI Solutions Lead at Intel

December 1, 2023 - August 21, 2025

Delivered a comprehensive presentation on GenAI solutions to stakeholders and effectively communicated benefits, receiving positive feedback. Improved organizational efficiency by 60% through the implementation of RAG architecture to provide precise query responses. Led solution rollout across Intel, applying AI algorithms and data analytics tools to boost customer satisfaction ratings.

AI Developer at Intel

March 1, 2023 - August 21, 2025

Utilized Machine Learning, Natural Language Processing, and AI to recommend over 300 candidates based on job descriptions. Employed vector databases and semantic matching to highlight percentage alignment between resumes and job descriptions. Generated concise candidate summaries by scraping LinkedIn profiles using LangChain agents to enhance accuracy in candidate screening.

AI Software Engineer

July 1, 2022 - August 21, 2025

Built an AI-driven Smart Regression tool using static code analysis and AST parsing to detect impacted code areas and cut redundant tests. Applied rule-based dependency mapping and automated impact analysis techniques, cutting regression cycles from days to hours and improving test efficiency by over 90%.

Generative AI Engineer at Intel

July 1, 2019 - October 15, 2025

Led the development of a CrewAI-powered multi-agent system with memory-enabled agents to automate newsletter content creation and distribution. Implemented specialized agents for content generation, validation, and formatting, orchestrated via an agent controller using task decomposition and goal-driven execution. Leveraged long- and short-term memory in agents to maintain editorial context, reducing preparation time by 70% and boosting content accuracy and engagement. Built a Cloud-Native AI-driven onboarding Chatbot to automate training for new hires, providing interactive guidance on team-specific tools and workflows, and managing over 200 debug cases with 60% improvement in resolving common issues. Engineered the solution in Python and integrated PyTest for testing, achieving 80% code coverage for unit tests. Presented the GenAI solution to stakeholders, driving organizational efficiency through RAG-based query resolution and knowledge sharing. Implemented HR resume screening using