Product Leader & ML Researcher with 8+ years of experience bridging research concepts with scalable software products. Expert in turning ambiguous problems into shipped systems—specializing in uncertainty estimation, privacy algorithms, and incentive-aligned metrics. Proven track record of leading product vision, managing engineering teams, and publishing research in top-tier venues.
Core Competencies
Product Leadership
- Product Strategy & Roadmap
- 0-to-1 Development
- Technical PM & AI Integration
- B2B SaaS Scaling
- Cross-Functional Leadership
ML Research & Analytics
- Deep Learning (PyTorch/Jax)
- Uncertainty Estimation
- Model Interpretability (XAI)
- Algorithmic Design
- Experiment Design
Tech Stack
- Python, SQL
- PyTorch, Keras
- Java, Kotlin
- Tableau, Looker
- AWS / Cloud
Work Experience
SHAPE Global Ltd
Remote / London, UK
- Led company vision to become a science-backed organizational intelligence platform, validated across thousands of employees.
- Drove the roadmap for core features: survey intelligence, multi-level reporting, and AI integrations.
- Launched partner portals and strategic integrations (API/HRIS) to establish SHAPE as a self-sustaining solution.
World Flourishing Organization
Remote
- Prototyped an AI-driven compliance framework to process client evidence and assign Flourishing levels.
- Developed global standards combining internal metrics (surveys, policies) with external signs (ESG, sentiment).
SHAPE Global Ltd
Remote
- Architected advanced privacy-preserving algorithms for survey anonymity without compromising analytical utility.
- Led development of caching pipelines and role-based permissions, scaling platform for global conglomerates.
- Managed engineering team (web/mobile) through major architectural refactors.
SHAPE Global Ltd
Remote
- Pioneered proprietary Scoring methodology to provide holistic feedback beyond simple averages.
- Developed org-mapping features and user onboarding flows to drive platform adoption.
Lahore University of Management Sciences
Lahore, Pakistan
- Investigated novel neural networks focusing on model interpretability and performance (Supervisor: Dr. Asim Karim).
- Co-authored "Explainable AI: Object Recognition With Help From Background" (ICLR 2022 CSS Workshop).
Education
Lahore University of Management Sciences
High Distinction
- Dean’s Honours List (2012-2016) | Major Coursework in Quantitative Dynamics
Publications & Selected Work
- ICLR 2022 CSS Workshop: "Explainable AI: Object Recognition With Help From Background" (Co-author)
- Privacy-Centric Algorithms Demo: razahashmi.github.io/files/privacy_demo.html
- Whitepaper: Scoring System Design (razahashmi.github.io/files/SPS.html)