Personal experiments on Reinforcement Learning

Optimal routing and delivery solutions using Google Maps and Python.

A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.

A dynamic Python-based routing and package management system for optimizing delivery schedules and operations. Designed for WGUPS, it showcases efficient use of algorithms and data structures for real-world logistics solutions.

Gen AI–powered sprint risk analysis prototype for Technical Program Management. Simulates automated detection of delivery blockers and cross-team dependencies, demonstrating potential to reduce manual status review time by ~30–40% and improve early risk visibility in engineering programs

🚚 "2021 Huawei Delivery Optimization Competition" - Using a genetic model to minimize the multi-vehicle transportation cost with vehicle capacity constraints.（“2021华为配送优化竞赛” - 使用遗传算法在车辆运力限制下最小化多车辆的运输成本。）

🚚 A genetic model written in Python for minimizing the delay time of delivery routes.（使用Python编写的用于最小化物流配送时间的遗传算法。）

Building a Semantic Delivery Coordination Engine

Hermes Logistics - Fleet Management & Route Optimization

Enterprise monitoring solution for Windows Delivery Optimization. Collects per-job DO telemetry from Intune-managed devices via Proactive Remediations, ingests through Azure Functions + Service Bus, and visualizes in Log Analytics with Workbooks and Alert Rules. Full Bicep IaC and automated deployment.

Live trace collector for Intune Company Portal Win32/MSIX/LOB app deployments. Captures baseline, network trace, IME log delta, time-filtered event logs, and content-distribution stack (WinGet/DO/WU) into an ODC-compatible ZIP.

Business analytics & data visualization project analyzing Blinkit’s quick commerce model-delivery speed, urgency marketing, customer behavior, and revenue insights using Tableau.

A machine learning-powered platform to accurately predict delivery times in hyperlocal logistics by fusing Google Maps, live weather, and historical trip data.

University final project - "Веб-приложение для оптимизации авиамаршрутов доставки почтовых отправлений с использованием роевого интеллекта" (Grade A)

TypeScript based engine for optimally assigning delivery orders to riders using multi-stage optimization, intelligent batching, and dynamic surge handling.

Engineering leadership playbook covering delivery standards, flow metrics, Agile practices, AI in SDLC, and scalable team governance.

A Python-based delivery optimization model using nearest neighbor heuristics for order grouping and route efficiency, with included CSV datasets and test results.

A delivery optimization project using causal inference and logistic optimization

Smart route optimization platform for Delhi Metro & DTC buses with interactive maps, fare calculator, crowd analytics, and OAuth admin dashboard.

Delivery routing & fleet scheduling engine in C++ — A*, Yen's K-Shortest Paths, TSP heuristic