I am deeply passionate about the world of Mathematical Optimization (MO) and its transformative power for businesses. The greatest part of my job is collaborating closely with business stakeholders and decision-makers, leveraging my expertise to build decision-support tools and generate significant business outcomes. I have written optimization codes that have been deployed to enhance diverse businesses and solve a range of complex problems. My experience extends beyond optimization, encompassing a proven track record in developing impactful machine-learning solutions in the retail industry. Currently, I am channeling my expertise at Bricz, where my focus is on building a diverse set of decision optimization models for an innovative application named "Predictive Fulfillment Planning". Areas of expertise: eCommerce, transportation and logistics, supply chain management, and sub-areas such as assortment and Inventory optimization, vehicle routing, fulfillment planning, and network design.MO techniques: linear (LP), nonlinear (NLP), integer (IP) and mixed-integer programming (MIP), stochastic optimization, and simulation optimization.MO APIs for modeling: Pulp, Gurobi, Pyomo, and OR Tools.Software development skills: object-oriented programming, Git version control.Programming languages: Python, Java Script,Algorithms: heuristics/meta-heuristics