I’m excited to join this vibrant group of AI and ML enthusiasts, practitioners, and experts.
With 18 years of experience in the IT professional services sector as a Technical Project/Program Manager, I’ve led large-scale technology initiatives for global clients across industries like FinTech, AdTech, Green Tech, Freight Rail, and Telecommunications.
I’m currently on a career break and am using this time to self-learn Machine Learning and Artificial Intelligence—with a focus on understanding architecture, program strategy, and delivery in AI/ML projects. My approach is to blend practical program management expertise with technical literacy so I can lead AI initiatives confidently.
I’m leveraging GPT-5 and Perplexity to design a 12-month structured roadmap to ramp up in this field.
Here’s the high-level view of my roadmap:
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Foundations – ML/AI concepts, data lifecycle, and cloud infrastructure (AWS focus).
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ML Systems – MLOps, model deployment, monitoring, and governance.
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LLMs & Generative AI – LLM architectures, RAG pipelines, agents, and safety evaluation.
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Domain Deep Dives – AI for program delivery, productization, and compliance.
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Hands-on Projects – Applying learnings to real-world case studies and portfolio work.
I’m here to learn from this community—your experiences, your tips, and your lessons on navigating the AI/ML learning curve. If you’ve walked this path, I’d love to hear what worked for you (and what didn’t).
Looking forward to contributing, learning, and collaborating with all of you.
Thank You!
RT