Rashmi Dhumal is Assistant Technical Manager at Koenig Solutions. Being a passionate trainer, "technofreak, and a quick learner", is what aptly describes her. She has immense experience of 20+ years as a technical trainer, a mentor, and active involvement in curriculum development.

She has successfully trained working professionals by delivering trainings across various topics in the domain of Architecting, Security, Machine Learning, and Generative AI. Her expertise in Machine Learning helps to cater business requirements.

She has actively contributed to a wide range of projects, showcasing her expertise in machine learning, deep learning, data science, and data analysis using Python. Her skills extend to MLOps, Generative AI, prompt engineering, fine-tuning large language models (LLMs), and Retrieval-Augmented Generation (RAG). She has created several proof-of-concepts (POCs) leveraging AWS AI/ML, AWS MLOPs, and Generative AI on AWS.

Company: Koenig Solutions Pvt. Ltd.

Designation: Assistant Technical Manager

Duration: January 2026 - Till Date

Key Responsibilities:

1. Design and oversee outcome-driven AWS training programs that align learning objectives with real-world customer use cases and organizational goals.
2. Collaborate cross-functionally with sales, solution architects, and customer success teams to ensure training initiatives support adoption and business outcomes.
3. Lead and adapt instructional delivery across training sessions, ensuring effective engagement for diverse audience skill levels and learning styles.
4. Develop, maintain, and govern AWS training materials, hands-on labs, and documentation in line with current best practices and evolving cloud technologies.
5. Act as a trusted technical advisor by providing guidance, best practices, and hands-on support to trainers and learners, ensuring consistent, high-quality training delivery.

Company: CloudThat

Designation: Technical Lead-AWS-Machine Learning

Duration: April-2022 – January 2026

Key Responsibilities:

1. Lead discovery and educational scoping sessions to define AI/ML training objectives aligned with customer business goals and AWS best practices.
2. Explain core AI/ML concepts and map them to AWS services such as Amazon SageMaker and Amazon Bedrock, communicating effectively with both technical and non-technical audiences.
3. Design and deliver engaging instructor-led and hands-on AI/ML training, guiding learners through model development, training, and deployment on AWS.
4. Stay current with AWS AI/ML service updates, reference architectures, and industry trends to ensure training content reflects the latest innovations.
5. Maintain a highly client-centric approach, managing the classroom effectively and ensuring a positive, engaging, and high-quality learning experience.

Organization: Ramrao Adik Institute of Technology, Navi Mumbai

Designation: Assistant Professor

Duration: May 2017 to March 2022

Responsibilities:

1. Deliver AWS Academy–aligned courses in cloud computing and emerging technologies, integrating hands-on labs and industry best practices into the curriculum.
2. Prepare and mentor students for AWS certifications and industry readiness through practical exercises and real-world cloud projects.
3. Organize and coordinate technical workshops, faculty development programs, and student training sessions on cloud and related technologies.
4. Organize and participate in national and international conferences, contributing to academic and industry knowledge exchange.
5. Deliver invited talks, seminars, and guest lectures on cloud computing, AI/ML, and emerging engineering technologies.

Organization: Terna Engineering College, Navi Mumbai

Designation: Assistant Professor

Duration: July 2003 – May 2027

Responsibilities:

1. Deliver assigned undergraduate and postgraduate courses, providing academic guidance, supervision, and mentoring to students.
2. Mentor students for internships, projects, and placements, supporting career readiness and industry alignment.
3. Participate in academic conferences, workshops, and seminars, representing the institution and contributing scholarly presentations when required.
4. Contribute to industry–academia collaboration through advisory board activities, curriculum development, and engagement initiatives.
5. Prepare and submit research proposals to government agencies, funding bodies, and industry partners to secure grants and support ongoing research activities.