// Applied AI & Machine Learning
Work for impact and engineering for innovation! I'm Aarish, an Applied AI & Machine Learning Engineer building production-grade systems across multi-agent workflows, climate intelligence, and healthcare.
// Trusted by Global Enterprises, Research Institutes & Startups
// Core Competencies
High-caliber technical mastery combining cutting-edge AI architecture with production-proven cloud deployment.
LangGraph, MCP & Supervisors
PyTorch, CNN-LSTM & Vision
GEE, Sentinel-2 & Landsat
AWS ECS, Docker & Valkey
Mistral-7B, RAG & Vectors
Climate & Financial Forecaster
Comprehensive tools, clouds, and libraries deployed across research & production
Deep learning architectures, time-series forecasting & multi-agent systems.
Production LLM systems across OpenAI, Anthropic, Mistral & OpenRouter.
Production AWS & GCP cloud infrastructure with containerized pipelines.
Multi-satellite imagery analysis, spatial modeling & climatic data.
End-to-end data processing pipelines from raw rasters to predictive insights.
Interactive executive dashboards and peer-reviewed publication figures.
// Track Record
Seven years bridging rigorous academic engineering with high-velocity Silicon Valley startups and global research institutes.
Bahauddin Zakariya University · 2020 – 2022
Specialized in hydrology, water resources management, and climate modeling.
Bahauddin Zakariya University · 2016 – 2020
Graduated with honors, focusing on irrigation systems and spatial engineering.
Applied AI Research · Pakistan
Pioneered applied satellite imagery downscaling with machine learning in the Indus Basin.
Quantum Edge AI · USA (Remote) · Oct 2023 – Mar 2025
Engineered stacked predictive models (MLP, SVR, Gradient Boosting) for multi-horizon equity price forecasting, achieving RMSE between 1.5–4.6.
Upwork · Global Clients · Oct 2019 – Mar 2025
Executed 80+ contracts with a 100% client recommendation rating across healthcare, computer vision, and financial engineering.
IWMI Pakistan · Lahore · Mar 2025 – Present
Built and operationalized a CNN-LSTM deep learning framework for evapotranspiration prediction across Punjab using Landsat and Sentinel-2.
Dynaris AI · USA (Remote) · Jul 2024 – Present
Architected Dynaris' multi-agent automation platform using LangGraph, FastAPI, and MCP (Model Context Protocol).
Infoya · Canada (Remote) · Feb 2026 – Present
Providing specialized consulting on production deep learning pipelines, scalable classification, and anomaly detection.
// Selected Portfolio
A showcase of production systems spanning satellite remote sensing, multi-agent AI platforms, and published medical vision models.
// Academic Contributions
Peer-reviewed scholarship advancing applied artificial intelligence in healthcare diagnostics, satellite climate hydrology, and water management.
AbuSalim, S., Zakaria, N., Mostafa, S. A., Maqsood, A., Abdulkadir, S. J., & Mokhtar, N.
Vol. 37(32), 26659–26688
Abusalim, S., Zakaria, N., Maqsood, A., Saboor, A., Yew, K. H., Mokhtar, N., & Abdulkadir, S. J.
Vol. 13(2), 2081–2092
Noor, R., Maqsood, A., Baig, A., Pande, C. B., Zahra, S. M., Saad, A., Anwar, M., & Singh, S. K.
Vol. 48, 101413
Noor, R., Arshad, A., Shafeeque, M., Liu, J., Baig, A., Ali, S., Maqsood, A., et al.
Vol. 15(2), 318
AbuSalim, S., Zakaria, N., Maqsood, A., Ismail, Z., Jiann Yeou, & Saboor, A.
Vol. In Review
// Client Testimonials
Over 80+ Worldwide Collaborations & 100% Recommendation Rate
Lahore, Pakistan
Available for contracts & remote consultations worldwide.
Typically responds within 24 hours. Confidentiality guaranteed for proprietary IP.