Raahim Arbaz
Hi, I’m Raahim Arbaz, a founding software engineer who enjoys turning complex problems into scalable, AI-powered solutions.
About
Hi, I’m Raahim Arbaz, a founding software engineer who enjoys turning complex problems into scalable, AI-powered solutions. I specialize in end-to-end platform development—from real-time backends and edge deployments to education tech and healthcare-focused AI systems—and I love collaborating with cross-functional teams to ship impactful products.
When I’m not coding, I’m exploring AI research, contributing to open-source projects, and mentoring teammates to help them grow their skills and confidence.
- 2 years' experience
- Joined February 2026
Languages
- EnglishFluent
- UrduIntermediate
Industry experience
- Software & Internet
- Healthcare
- Education
- Life Sciences
- Professional Services
Work experience· 6 roles
Engineered AST-based search parser with Jira-style query syntax supporting boolean operators, field filters, and status-based filtering for enterprise product catalog. Architected real-time notification system with SSE streaming, BullMQ/Redis queuing, entity subscriptions, and preference management in Agile/Scrum environment.
Architected a Vision-Dissect interpretability pipeline with attention mapping and layer-wise visualization for YOLOv11, SAM, and DepthPro using PyTorch hooks, ONNX Runtime, and TensorRT edge deployment. Conducted VLM benchmarking research on bleeding-edge vision-language models for complex video understanding and real-time edge hardware inference viability. Built healthcare conversational AI on LiveKit Agents with OpenAI Realtime API, LangChain/LangGraph orchestration, Qdrant RAG, and Twilio telephony on AWS.
Developed LMS using the T3 stack (Next.js, tRPC, Drizzle ORM, TypeScript) with role-based access control, CI/CD pipeline, and OAuth2 SSO authentication. Built HBL Bank analytics dashboard with TypeScript, Web Workers for client-side ETL, Deck.gl geospatial heatmaps, and React Flow network visualizations.
Education
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