SSW.

Industry Experience.

Applied AI Engineering roles

Turon AI
Turon AILahore, Pakistan πŸ‡΅πŸ‡°Jan 2026 – Present

Strategic Partnerships & Customer Success: applied AI R&D and production engineering for manufacturing, automotive, and construction clients. We build research-depth, production-grade B2B AI solutions for enterprises.

  • Own solution architecture and technical pre-sales: lead client discovery, scope system designs, and convert them into signed engagements and delivery plans

Keywords

Strategic PartnershipsCustomer SuccessOperations ManagementSolution ArchitectureAgentic AI
Turon AI
Turon AILos Angeles, CA πŸ‡ΊπŸ‡ΈJun 2024 – Dec 2025

Technical Leadership & Solution Architecture: applied AI R&D and production engineering for manufacturing, automotive, and construction clients.

  • Architected and shipped production agentic systems and AI infrastructure for enterprise clients

Keywords

Agentic AISolution ArchitectureLLMsPythonCloud Infrastructure
Paramount
ParamountLos Angeles, CA πŸ‡ΊπŸ‡ΈMay 2025 – Oct 2025

Entertainment Analytics & AI: content performance forecasting and GenAI explainability for a major media organization.

  • Enhanced content performance forecasting accuracy by up to 20% across critical business KPIs through strategic integration of multi-platform social media engagement signals

Keywords

LLM-as-JudgeForecastingPythonData VisualizationGenAI
Retrocausal
RetrocausalRedmond, WA (Remote) πŸ‡ΊπŸ‡ΈDec 2022 – Dec 2023

Computer Vision & Manufacturing Intelligence: precision assembly verification and ergonomics assessment for Fortune 500 manufacturing clients.

  • Designed and deployed precision assembly verification (Assembly Copilot) achieving 98% detection accuracy for clients including Schneider Electric, Carrier, and Honda, using state-of-the-art object detection and activity recognition

Keywords

Object DetectionActivity RecognitionSynthetic DataComputer VisionPython
Adlytic AI
Adlytic AILahore, Pakistan πŸ‡΅πŸ‡°Jun 2021 – Dec 2022

Edge AI & Recommender Systems: model optimization for edge inference and a cloud-based recommendation engine.

  • Implemented knowledge distillation and NVIDIA TensorRT optimization to achieve a 66% reduction in edge inference latency, within 1.5% of baseline accuracy

Keywords

Knowledge DistillationTensorRTRecommender SystemsEdge AICloud