Career Guidance

Hi, I’m Nafeea. I lead Applied AI and Agentic-AI initiatives at Wipro Innovation Network (WIN) for the Meta ODC track.

My work sits at the intersection of ML engineering, product thinking, and agentic workflow automation. I build and manage end-to-end AI systems: RAG pipelines, agent-driven runbook automation, SOP-generation agents, release-management intelligence, data-flow orchestration, and knowledge-base assistants that solve real problems at Meta scale (Enterprise Products).

Before this, I spent several years at Cactus Labs where I helped launch award-winning AI products like Paperpal Preflight (Integrity Suite), the ATLD alt-text generator (scaled to $9M+ ARR), and multiple product-health dashboards used across global teams.

My background blends ML engineering, data science, product analytics, and communication, which allows me to teach AI in a way that is both technical and intuitive.

I also train and interview Senior ML Engineers, Data Scientists, Applied AI engineers, and help build high-performing teams. So I know exactly what companies look for, what “real ML skills” mean today, and how to move into the field with confidence.

What I Can Help You With

1. Breaking into AI / ML from any background

How to start, what to learn, how to position yourself, what to avoid, and how to build the kind of portfolio that actually gets attention.

2. Agentic AI / Applied AI Career Path

A practical roadmap to enter the new wave of AI work

(agent workflows, RAG systems, orchestration, evaluation, grounding, reasoning).

3. ML Engineering Fundamentals

From linear algebra and embeddings to model training, GPU considerations, latency, and debugging real-world production issues.

4. How to Build Real Projects

I’ll teach you the difference between a “toy project” and an actual applied-AI product.

You’ll learn how to:

• select a problem

• design the architecture

• write clean, interview-level code

• build RAG / agent workflows

• evaluate models

• showcase the project like an engineer

5. Interview Preparation for AI / ML Roles

I conduct technical rounds for ML/DS roles.

I can guide you on:

• coding interviews

• ML fundamentals

• problem-solving

• system design for ML

• how to articulate your thinking

• how to avoid common red flags

6. Career Path Strategy

For students, early professionals, or people transitioning into AI: choosing the right courses, open-source projects, research direction, and building credibility.

Who Should Book a Session

• Students beginning their AI journey

• Professionals switching to ML/AI

• Engineers who want to understand agentic workflows

• Developers who want to build strong ML foundations

• Anyone confused about how to enter or grow in AI

My Mentoring Style

Clear, practical, and honest.

No fluff, no unnecessary jargon, no “learn everything” advice.

I give you:

• a structured roadmap

• a personalised study plan

• project ideas based on your level

• direct feedback on strengths + gaps

• clarity on what really matters in the industry

My goal is simple: to help you start building with AI confidently and to accelerate your career by eliminating confusion.