Eqan Ahmad

Full Stack AI Engineer

SuperQ Quantum Computing

Jul 2025 - Apr 2026 • 9 mos

• Spearheaded Global Innovation: Architected and built the full-stack foundation for Super and ChatQLM (CES 2026 World Premiere), the world's first consumer apps powered by quantum computing. • Advanced AI & Quantum Orchestration: Developed Python backends to bridge natural language inputs with major quantum providers (IonQ, D-Wave, Gurobi, Quanfluence, QuEra, AWS Braket) and managed asynchronous processing via AWS SQS. • Streamlined Platform Operations: Built internal admin panels and observability dashboards (React, Node.js) to monitor platform metrics, track user stats, and visualize AWS infrastructure health. • Rapid AI Product Development: Engineered full-stack architectures for new AI products (Akito AI, Que BDR) leveraging Agentic workflows, LLM APIs (OpenAI, Gemini), and scalable serverless workloads (AWS Lambda). • Technical Leadership: Acted as the technical reference for engineering peers, driving architecture reviews, code quality gates, production debugging, and continuous reliability improvements.

Full Stack Engineer

Qanooni Legal Software

Sep 2024 - Apr 2025 • 7 mos

• Drove $2M Funding & 4K+ MAU: Engineered core full-stack modules (Draft, Review, Global Changes) that successfully scaled the product for early-stage growth. • Boosted Efficiency by 58%: Developed automated multi-document drafting and clause extraction workflows, drastically reducing manual workload for attorneys. • Scalable Full-Stack Architecture: Built and managed features within a monorepo system, utilizing shared backend services for streamlined performance and deployment.

Lead Full Stack Cloud Engineer

Models Lab

Jun 2023 - Aug 2024 • 1 yr 2 mos

• Drove $1M+ Revenue & 400K+ MAU: Architected "GPU Lab," a highly scalable custom cloud GPU service that rapidly streamlined AI model deployment for hundreds of thousands of active users. • Slashed Cloud Costs by 60%: Strategically migrated LLM workloads from AWS to an in-house GPU infrastructure, drastically improving compute efficiency and company profitability. • Led Complex Systems Architecture: Designed a robust, distributed multi-backend system to orchestrate Docker deployments, automate system self-healing, and manage heavy user concurrency. • Full-Stack & AI Engineering: Developed end-to-end features spanning from secure Stripe payment integrations to multimodal AI pipelines (SDXL, LangChain) using Python and React/Redux. • Technical Leadership & DevOps: Acted as the core technical lead, managing infrastructure health (CUDA, Docker, network failover), leading production incident response, and mentoring engineering teams.