Founder · Backend & AI Engineer
Building production backends and intelligent systems where scalable software architecture, data infrastructure and agentic AI meet.
Founder · Backend & AI Engineer
AI & DATA INTELLIGENCE
Agentic Text-to-SQL platform that profiles relational databases into a semantic metadata layer, retrieves relationship-aware context under deterministic budgets, and validates generated SQL before presenting analytical results.
SALES & REVENUE OPERATIONS
Social lead operations platform that turns Instagram/Meta webhook activity into durable lead records, asynchronous processing, a unified CRM inbox, role-based operations and conversion feedback to Meta.
RECRUITMENT TECHNOLOGY
AI-powered recruitment and interview platform connecting candidate and recruiter workflows, asynchronous interview-question generation, vector-based matching and a dedicated Hugging Face model service.
LEGAL SERVICES
End-to-end digital presence for a legal professional, combining a modern legal-services website, structured practice-area discovery, content publishing, technical SEO, deployment, and ongoing maintenance.
LEGAL SERVICES
Complete law-firm website and digital platform combining firm presentation, services and team content, maintainable publishing workflows, technical SEO, deployment, ongoing support, and a custom AI assistant for firm-related questions.
Founder of StackSmith Labs and a backend-focused AI engineer specializing in production APIs, distributed application architecture and intelligent systems. His work spans FastAPI services, PostgreSQL data platforms, asynchronous Celery and Redis pipelines, real-time WebSocket systems and AI applications built with LangChain and LangGraph. He focuses on turning complex business and data workflows into reliable software systems rather than treating AI as a standalone feature.
SPECIALTIES
CAPABILITY AREAS
TECHNOLOGY FOCUS
DOMAINS
Rawalpindi, Pakistan
“Intelligence only matters when the system around it is reliable enough to put it to work.”
Designs API-first backend architectures for data-intensive and high-concurrency applications, combining clean service boundaries with asynchronous processing and real-time communication.
Builds production AI workflows using retrieval, tool use and multi-agent orchestration, including self-validating Text-to-SQL systems and autonomous analytical workflows.
Connects backend infrastructure, AI pipelines and product interfaces into complete systems using REST APIs, WebSockets, Docker and modern web frontends.
12 RECORDED CREDENTIALS AVAILABLE FOR INSPECTION
Engineering production agentic AI systems, including a Text-to-SQL data intelligence platform spanning a 65-table enterprise architecture, multi-agent orchestration, schema recovery, runtime controls and real-time analytical interfaces.
Architected a CRM backend using FastAPI, Celery, Redis and WebSockets while integrating Meta platform APIs and asynchronous lead-processing workflows.
Built and optimized REST APIs and PostgreSQL-backed applications, integrating backend services with Next.js interfaces while contributing to production delivery and sprint ownership.
Bachelor of Science in Computer Science.