Innovative AI/ML & Full-Stack Engineer with a proven track record of deploying mission-critical AI solutions. I specialize in Industrial AI Automation, Document Intelligence (LLMs/RAG), and Low-Latency Edge Computing. My focus is on building scalable, real-world systems that don't just work in notebooks, but thrive in production environments.

• Current Focus: AI-driven optimization for energy sector operations at Qult Technologies.
• Expertise: Computer Vision, LLM Fine-tuning, MLOps, and Rust-based high-performance controllers.
• Leadership: Former GDSC Lead & TA for Data Structures at ITU Lahore.

• Plunger Lift Optimization: Engineered an AI-driven forecasting system using real-time telemetry to maximize gas production.
• Autonomous Rust Controller: Developed a high-performance controller in Rust to compute optimal well setpoints in real-time.
• Thermal Vision Automation: Built a computer vision system using heat pattern analysis for automated sand extraction.

• Lease Bot: Architected a desktop AI platform for automated legal document processing (NLP/LLM).
• Hawk AI: Developed a CV-integrated robotic arm system for tobacco impurity detection and removal.

A full-stack robotics project featuring custom LiDAR integration, PWM motor control, and AI-driven navigation algorithms.

Enterprise-grade retrieval systems using LangChain and vector databases for semantic search and domain-specific Q&A.

An AI-powered vulnerability detection tool for blockchain smart contracts leveraging Large Language Models.

🏗 Featured Industrial Projects

Role: AI/ML & Full-Stack Lead

An enterprise-grade, AI-driven optimization system designed for gas-field operations. This project bridges the gap between raw industrial telemetry and autonomous decision-making. Real-Time Intelligence: Engineered an autonomous controller in Rust to compute optimal setpoints after each plunger cycle based on live well dynamics. Predictive Modeling: Leveraged time-series forecasting and historical behavior to reduce non-arrival cycles and maximize gas production efficiency. Production Monitoring: Developed a high-performance dashboard using React and TypeScript for real-time visualization of AI decisions and system health. Impact: Successfully deployed a closed-loop system that reduces manual intervention while significantly improving operational yields.

Role: Project Lead | AI & Backend Architect

A production-ready AI platform that automates the lifecycle of complex lease document processing. Advanced NLP Pipeline: Built a sophisticated extraction engine using LLMs and RAG architectures for clause extraction, summarization, and compliance analysis. Scalable Backend: Designed a robust architecture for document parsing and semantic search, ensuring reliable performance during high-volume processing. Technical Stack: Utilized LangChain, vector databases, and Python-based frameworks to handle domain-specific document intelligence. Impact: Transformed a manual, error-prone legal review process into an automated, high-accuracy digital workflow.

I provide end-to-end AI consulting and development to transform legacy processes into autonomous powerhouses:

• Automated Quality Control: Vision systems for manufacturing and industrial safety.
• Predictive Maintenance: Time-series forecasting for high-stakes hardware (Energy/Oil/Gas).
• Workflow Automation: Custom LLM agents to handle complex document processing and compliance.

Looking to integrate AI into your business or discuss high-performance system design?

• Email: ayeshasiddiqa0167@gmail.com
• LinkedIn: Ayesha Siddiqa
• Technical Blog: as-0167.github.io

"Passionate about solving complex real-world problems through innovative applications of deep learning."