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AI Research Engineer with 10+ years in LLM Systems & AI Platform Architecture
Senior AI Engineer and team lead with 9+ years of experience building production-grade AI systems, LLM applications, agent orchestration frameworks, and custom machine learning infrastructure. • Strong hands on expertise across Python, Rust, C++, Kubernetes, cloud deployment, GPU acceleration, evolutionary computation, and applied research. • Led AI initiatives for Flexzo, Healsgood and AiFi, translating advanced research into scalable products across healthcare, recommendation systems, pattern generation, and intelligent platforms. • Strong end-to-end ownership from prototype to production • Experienced in cross-functional collaboration and technical leadership
National University of Computer and Emerging Sciences
BSc · Computer Science
August 1, 2013 – June 30, 2017
Healsgood AI
Senior AI Engineer
January 1, 2023 – Present
Dubai, Dubai, United Arab Emirates
Nord A1
AI Consultant
January 1, 2022 – January 1, 2023
Sweden
AiFi technologies
AI Team Lead
January 1, 2018 – January 1, 2023
Abu Dhabi, United Arab Emirates
QYZD Pvt. Ltd.
Software Design Engineer
January 1, 2017 – January 1, 2018
Karachi, Sindh, Pakistan
Evolutionary Computation Library
June 1, 2026 – June 1, 2026
Developed an in-house library for evolutionary computation for research experiments.
Distributed Evolution
June 1, 2026 – June 1, 2026
Built a distributed architecture for evolutionary strategies across clusters of computers.
Omega Infinity (Chess Algorithm)
June 1, 2026 – June 1, 2026
Developed a modified Monte Carlo tree search algorithm, a LibTorch deep neural network and a chess engine build from scratch in C++ with alpha-beta pruning and iterative deepening.
Evolutionary Training Pipeline for Neural Networks
June 1, 2026 – June 1, 2026
Created a parallel training pipeline for an in-house Chess AI using clusters of computers.
Flexzo AI
June 1, 2026 – June 1, 2026
Led AI delivery for platform, including the LLM library, Rust-based agent orchestration, Ai lifecycle engine, API services and Kubernetes-base deployment.
Limn AI
June 1, 2026 – June 1, 2026
Developed pattern generation engine using NeuroEvolution and GANs.
Moda AI
June 1, 2026 – June 1, 2026
Built browser-based fashion design solution with interactive 3D models and AI-driven pattern generation.
AiDiet
June 1, 2026 – June 1, 2026
Built a recommendation system using evolutionary strategies to suggest diet plans based on physical parameters and optional blood reports.
Heart Monitoring and Diagnosis System
June 1, 2026 – June 1, 2026
Implemented 1D-CNN for ECG beat classification, built a portable ECG device with Arduino with a bespoke ECG signal processing algorithm, and developed an Android app for monitoring and diagnosis.
Symbolic Regression
June 1, 2026 – June 1, 2026
Developed evolutionary strategies for symbolic regression with Python evolution modules and C++ grammar parsing and evaluation.
Fundamentals of Accelerated Computing with CUDA C/C++
NVIDIA
June 1, 2026 – Present
Generative Adversarial Networks Specialization
DeepLearning.AI
June 1, 2026 – Present
Fundamentals of Deep Learning for Computer Vision
NVIDIA
June 1, 2026 – Present
Fundamentals of Deep Learning on Multi-GPUs
NVIDIA
June 1, 2026 – Present
Data Science Toolbox
Johns Hopkins University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from personal research in evolutionary computation and chess AI to professional applications in healthcare, fashion, and recommendation systems, demonstrates a broad interest and ability to apply AI across various domains. The experience as an AI Team Lead and Senior AI Engineer, coupled with a focus on end-to-end ownership and cross-functional collaboration, aligns well with a culture that values innovation, leadership, and practical application of AI. The use of cutting-edge languages like Rust and Zig also indicates a proactive learning mindset.
Soft Skills & Operational Fit
The candidate's resume highlights leadership strengths such as technical direction, research-to-production execution, AI platform architecture, cross-functional collaboration, and pragmatic decision-making. These indicate a strong operational fit for a senior role requiring both technical depth and leadership capabilities. The diverse project portfolio also suggests adaptability and a proactive approach to problem-solving.