Hi, my name is
I am a Lahore-based AI Engineer and Backend Developer specializing in scalable data pipelines, predictive models, and autonomous architectures. I bridge the gap between complex AI research and functional software utilities.
Holding a completed Bachelor of Science degree in Artificial Intelligence from The Superior University, I am driven to solve real-world problems through data-centric AI and scalable backend architectures.
My expertise lies in designing secure APIs, deploying containerized backend systems, and utilizing modern RAG (Retrieval-Augmented Generation) concepts. I actively build autonomous data pipelines and robust predictive models that process structured data securely and efficiently.
With hands-on development experience across a diverse portfolio of machine learning applications, quantitative market analytics, and client-facing generative AI agents, I engineer production-grade applications built for scale.
Developing autonomous AI agents (LangGraph/Groq), engineering advanced RAG architectures, and pursuing fully funded graduate research opportunities in Artificial Intelligence abroad.
Extracted, cleaned, and processed complex unstructured datasets to build scalable data pipelines for machine learning applications. Applied machine learning techniques and vector databases (ChromaDB, BGE embeddings) to perform data mining and optimize information retrieval accuracy. Collaborated with cross-functional research teams to analyze specific data needs and deliver technical solutions that improve operational efficiency.
Engineered data-driven backend systems and predictive models for outsourced client solutions using Python, Scikit-learn, and Pandas. Developed custom scripts to clean raw datasets, perform exploratory data analysis (EDA), and build scalable data pipelines. Established robust workflows that translated complex business requirements into high-performance AI applications, directly improving operational metrics.
Engineered end-to-end automated operations infrastructure utilizing n8n pipelines for multi-source data ingestion. Designed scale-optimized relational schemas using PostgreSQL and Prisma ORM to process high-concurrency analytics. Developed modular Python backends and FastAPI configurations encapsulated in Docker for isolated ML inferences.
Autonomous quantitative equity analysis agent built for the Pakistan Stock Exchange. Utilizes LangGraph and Groq LLMs to process real-time market telemetry and execute complex financial reasoning.
An intelligent workforce-management platform designed to manage attendance and granular task tracking for lab researchers. Built with a modern serverless stack for high availability.
Multi-modal Class 11 Biology RAG engine built for NCAI. Features text and image retrieval capabilities utilizing advanced vector stores and Google's Gemini API for highly accurate academic querying.
Architected a scalable market ingestion pipeline extracting ticker performance metrics. Integrated IMF reports and news via APIs to perform multi-dimensional market sentiment analysis.
Interactive Generative AI application engineered with a custom Retrieval-Augmented Generation architecture. Simulates dynamic technical interview environments and provides instant feedback.