Umair S.

Profile Overview If you want to run an energy system, BESS operation, EV network, healthcare facility, supply chain, or any complex technical operation efficiently, you need better decisions — faster, under constraints, and with uncertainty. That is where I come in. I design computational decision systems that combine mathematical optimization, machine learning, deep learning, computer vision, control algorithms, simulation, and predictive analytics to solve complex engineering and operational problems. My work focuses on converting raw data, physical constraints, operational rules, and business objectives into practical algorithms, validated models, and implementation-ready decision-support systems. I work across several technical domains, including BESS and EV optimization, energy systems, healthcare operations, clinical AI, oncology-focused machine learning, computer vision, supply chain, routing, inventory, scheduling, and control systems. What I Can Help You With Energy, BESS & EV Optimization BESS scheduling, state-of-charge optimization, charge/discharge control, energy arbitrage, peak shaving, renewable integration, EV charging coordination, grid constraints, reserve allocation, and intelligent energy dispatch. Mathematical Optimization & Operations Research LP/MILP formulation, metaheuristics, scheduling, routing, inventory optimization, resource allocation, capacity planning, multi-objective optimization, robust optimization, and constrained decision problems. Machine Learning & Predictive Analytics Regression, classification, forecasting, feature engineering, model evaluation, predictive decision systems, operational analytics, and data-driven optimization. Deep Learning & Computer Vision Image classification, medical and clinical imaging workflows, CNN-based models, computer vision pipelines, feature extraction, and AI-assisted image analysis. Healthcare & Clinical Decision Systems Operating room scheduling, patient-flow optimization, hospital resource planning, clinical prediction, oncology-focused machine learning, capacity analysis, and healthcare decision-support models. Control Systems & Simulation Control algorithm development, dynamic system modeling, simulation, and engineering analysis using MATLAB and Simulink. Supply Chain & Operations Routing, inventory, logistics, scheduling, last-mile optimization, production planning, resource allocation, and operational decision-support systems. Technical Expertise Optimization: LP, MILP, Metaheuristics, Robust Optimization, Scheduling, Routing, Resource Allocation Programming: Python, MATLAB Simulation & Control: MATLAB, Simulink Optimization Tools: Pyomo, CPLEX, CBC, Excel Solver, GAMS Machine Learning: Scikit-learn, Pandas, NumPy, predictive modeling, forecasting Computer Vision: OpenCV, deep learning workflows, image-based analytics Analytics: KPI modeling, scenario analysis, sensitivity analysis, dashboards, technical reporting How I Work I do not simply build models or write code. I first understand the decision that needs to be made, the constraints surrounding it, and the operational or commercial objective behind it. From there, I translate the problem into a structured mathematical or computational framework, develop the algorithm, validate it through scenarios and performance metrics, and deliver results that can be understood and used in practice. Typical deliverables include: - Mathematical formulations - Python or MATLAB implementation - Optimization and control algorithms - Machine learning models - Simulation models - Scenario and sensitivity analysis - Performance KPIs - Technical documentation - Decision-support dashboards - Implementation guidance Why Clients Work With Me My background sits at the intersection of engineering, optimization, AI, and decision science. This allows me to approach problems from both a technical and operational perspective rather than treating them as isolated coding tasks. I have completed projects involving machine learning, clinical data analysis, mathematical optimization, inventory optimization, computational modeling, and decision-support systems, with strong client feedback for professionalism, reliability, communication, and solution-oriented work. My focus is simple: turn complex systems, data, and constraints into better operational decisions. If your project involves optimization, AI, control, simulation, or intelligent decision-support, I would be glad to discuss the problem and determine the most suitable technical approach.