Henry Chiedu Elue
Product Manager
Ottawa, Canada · Open to new opportunities
Background
I've shipped two live AI products from scratch: CareerLantern, an AI career platform, and Nora, an AI companion for expecting mothers. In parallel, I've spent 5+ years as a PM at Bluewave and TELUS across telecom and AI products. Before product, I spent nearly 3 years building data platforms at Huawei as a software engineer. That means I can read a system architecture, challenge a technical tradeoff, and write a spec that doesn't need translation.
Across these roles, I've increased user adoption by 38%, improved onboarding conversion by 20%, and cut issue resolution time by 25%. I work closely with engineering on data platforms, analytics systems, and AI products, and I'm comfortable getting into the technical details when it matters.
I'm comfortable leading cross-functional teams in Agile environments and translating product vision into outcomes that engineering, design, and stakeholders can all rally around.
Experience
Bluewave Mobility Innovation
Product Manager
- Own product vision, strategy, and roadmap for a real-time data and analytics platform (Radio Management System) supporting operational decision-making.
- Lead product discovery, customer research, and experimentation to identify and validate high-impact problems.
- Reduced root cause analysis time by 25% by defining KPIs and delivering data-driven insights and reporting tools.
- Partner closely with engineering to deliver scalable data platform features, dashboards, and fault correlation capabilities.
- Translate complex telecom workflows into intuitive user experiences, improving usability and customer outcomes.
TELUS
AI Product Manager
- Led development of an AI-powered customer support product, leveraging data and experimentation to improve performance.
- Improved chatbot resolution rates by 5% using data analysis, experimentation, and user interaction insights.
- Reduced average handling time by 10% by optimizing conversation flows and AI response logic.
- Collaborated cross-functionally with engineering, design, and stakeholders to deliver customer-centric solutions.
Huawei Technologies
Product Manager
- Led development of analytics and data platform features that improved reporting efficiency by 15% for enterprise clients.
- Partnered with engineering to enhance platform scalability and data processing capabilities, accelerating insight generation by 15%.
- Conducted stakeholder engagement, product demos, and feedback sessions to drive adoption and alignment.
Huawei Technologies
Junior Software Engineer
- Contributed to the development of data and analytics platforms, supporting feature delivery and system improvements.
- Built foundational experience in software engineering and data systems, strengthening technical product management capabilities.
Technical Depth
Before moving into product, I spent nearly 3 years as a software engineer at Huawei, building data and analytics platforms. That foundation directly shapes how I work with engineering today. I can read a system architecture, challenge a technical tradeoff, and write a spec that doesn't require translation.
In my own projects, I go further. CareerLantern, a live AI platform I designed and built, gives the clearest view of how I think technically as a PM:
LLM Selection & Migration
Started with self-hosted Llama 3.2 3B via Ollama (zero per-call cost, full control). Migrating to Gemini 2.5 Flash for higher output quality and production reliability. It's a deliberate tradeoff between cost control and model capability as the product matures.
AI Pipeline Architecture
Designed the full LLM pipeline: FastAPI → HTTPS → Cloudflare Tunnel → Ollama. CV parse pipeline: PDF/DOCX → text extraction → prompt (12k char cap) → structured JSON → frontend state. STT pipeline: MediaRecorder → ElevenLabs scribe_v1 → transcribed text.
AI Safety & Guardrails
For Nora (health-adjacent AI), enforced hard system prompt constraints blocking medical advice, with mandatory "consult your doctor" reminders on all AI responses. That was a deliberate product decision balancing user trust, liability, and scope. For CareerLantern, defined output discipline rules (precision, ATS calibration, strict JSON) to ensure consistent, high-quality AI responses at scale.
API Design
Designed and shipped 12 AI endpoints, 7 job tracker endpoints, and a full auth API (JWT + OAuth 2.0). Enforced auth on all AI routes, rate limiting (slowapi), request body caps, CORS lockdown, and disabled API docs in production.
Data & Analytics
At Bluewave, defined KPIs and delivered reporting tools that reduced RCA time by 25%. At TELUS, used data analysis and experimentation to improve chatbot resolution rates. Built dual analytics instrumentation (Mixpanel + PostHog) with a unified wrapper in CareerLantern.
Infrastructure Decisions
Chose DigitalOcean Droplet + Nginx (full VPS control, streaming support) over managed platforms. Private ACL on object storage with presigned URL downloads. APScheduler for scheduled background jobs. SQLite in dev → PostgreSQL in prod with Alembic migrations.
Core Competencies
Tools & Stack
Education
Graduate Diploma in Information Technology
British Computer Society, UK
Bachelor of Science in Physics
Delta State University, Nigeria