Pakistan
I’m a Full-Stack AI & Data Engineer focused on building intelligent, scalable software systems powered by modern AI and data infrastructure. My experience combines: ✦ AI Engineering ✦ Full-Stack Development ✦ Data Engineering ✦ Automation Systems ✦ Production SaaS Architecture Over the years, I’ve worked on systems involving: ⦾ RAG pipelines ⦾ OpenAI integrations ⦾ AI agents & automation workflows ⦾ Vector search & embeddings ⦾ ETL/ELT pipelines ⦾ Cloud-based data platforms ⦾ Full-stack SaaS applications ⦾ Real-time APIs and backend systems I build across the entire stack: ➜ Frontend: React, Next.js, TypeScript ➜ Backend: Python, Node.js, FastAPI, Express ➜ AI & Data: OpenAI APIs, RAG systems, vector databases, embeddings, retrieval pipelines, ETL/ELT workflows, data modeling ➜ Cloud & Infrastructure: AWS, Vercel, Docker, PostgreSQL, BigQuery, Supabase I enjoy solving engineering problems involving: ✧ AI grounding & hallucination reduction ✧ Large-scale data processing ✧ Retrieval systems ✧ Workflow automation ✧ Scalable backend architecture ✧ Production AI systems ✧ High-performance APIs What I care about most is building systems that are reliable, scalable, and practical in production. I’m always interested in collaborating on ambitious AI, data, and product engineering projects.
• Architected the development of scalable, fault-tolerant data pipelines supporting analytics, reporting, and machine learning use cases • Designed and optimized ETL/ELT workflows using Python and SQL, ensuring high performance, data quality, and reliability at scale • Built and maintained data models and schemas across relational databases and data warehouses, optimizing query performance and storage efficiency • Implemented data validation, monitoring, and observability frameworks to ensure pipeline reliability and SLA adherence • Enforced data governance, security, and access control standards, including data lineage and compliance best practices • Optimized large-scale data processing through partitioning, indexing, and performance tuning techniques • Collaborated with product, and engineers to translate business requirements into robust data solutions
• Built and maintained scalable software systems across full-stack applications, data pipelines, and AI-enabled services • Developed backend APIs and services using Python, supporting high-performance and secure integrations • Designed and integrated modern frontend components to ensure seamless user experiences • Engineered reliable data pipelines and optimized data models for analytics and machine learning workflows • Integrated AI/ML models and external AI services into production systems to enable intelligent features • Implemented security, testing, and deployment best practices using containerization and CI/CD pipelines • Collaborated with cross-functional teams to deliver production-grade solutions aligned with business goals
• Developed full-stack applications using Python (FastAPI/Django) and React.js • Built secure, scalable RESTful APIs with JWT authentication and role-based access control • Designed responsive, reusable UI components with React Hooks and modern state management • Integrated frontend with backend services for efficient data flow and optimized performance • Worked with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB) and optimized schemas and queries
I played a pivotal role in strengthening security protocols at VaporVM through diligent monitoring and analysis. • Monitored security alerts in a SOC environment to identify and mitigate risks. • Assisted in incident investigations, contributing to a swift response to security threats. • Maintained security logs and SIEM dashboards, ensuring comprehensive visibility into security incidents.