Portfolio of AI product work focused on turning ambiguous opportunities into user-facing outcomes, with clear scope, delivery tradeoffs, and measurable value.
- Hiring managers evaluating AI PM / AI consultant profiles
- Product and engineering leaders assessing execution depth from framing to delivery
- Teams seeking practical examples of AI systems with real tradeoff handling
Investora-AI is an AI-powered investment decision-support product that turns fragmented market data into personalized, prioritized insights so users can make faster, more confident weekly decisions.
- Problem: investors face fragmented signals, slow weekly review cycles, and low confidence in what to prioritize.
- Product bet: unify data and AI reasoning into one workflow that turns market noise into personalized, actionable insights.
- User value: faster analysis, clearer priorities, and better decision confidence through profile-aware recommendations.
- Delivery focus: phased execution with reliability guardrails (contracts, tests, observability) to balance speed and quality.
AI content product concept for professionals who need consistent thought-leadership output without losing voice, with a focus on brand fit, quality control, and review efficiency.
AI summarization product aimed at helping users process high-volume news faster and act on the most relevant developments with less cognitive overload.
AI-assisted content workflow for accelerating podcast production from idea to draft assets, improving speed and consistency for creators and teams.
Practical operating toolkit for AI product discovery, prioritization, and execution, built for cross-functional teams delivering under real constraints.
- Frame AI opportunities into scoped, outcome-driven product bets
- Design MVP-to-production roadmaps balancing speed, risk, and quality
- Translate between business, product, and engineering stakeholders
- Build delivery plans with measurable quality gates (tests, contracts, observability)
- Lead AI feature lifecycle: discovery, prototyping, validation, rollout, iteration
- Pragmatic: focused on user and business outcomes, not AI novelty alone
- Structured: explicit decisions, tradeoffs, and risk handling
- Hands-on: technical depth where needed to unblock execution and quality
- LinkedIn: https://www.linkedin.com/in/elsa-bakiu
- Email: elsabakiu@gmail.com
- Location: Munich, Germany