Hi, I'm Ali FATEMI

Full Stack Developer (Frontend Focus)

Full‑stack development of a dual‑sided platform connecting customers and skilled handypersons for affordable, streamlined problem resolution. Collaborated in a cross‑functional team (HTW Berlin industry project) delivering production‑ready UX, robust API integration, real‑time data workflows, and performance optimizations (60% faster median load time, +40% user task completion efficiency). Featured as an HTW Berlin campus story for project excellence and partner satisfaction (100% milestone acceptance).

• Implemented modular Next.js 14 architecture with edge‑optimized routes
• Designed responsive UI system using Tailwind design tokens & component primitives
• Integrated Supabase (PostgreSQL) for auth, role scoping, and real‑time updates
• Refactored API layer reducing over‑fetching and cutting payload size ~35%
• Set up performance profiling & achieved Largest Contentful Paint under 1.3s on median devices

End‑to‑end design and build of a fully functional autonomous vacuum robot (team of 4). Engineered a custom chassis in Autodesk Inventor, 3D‑printed structural/functional parts, laser‑cut modified plates, and integrated a hybrid control stack using Arduino Mega 2560 and Raspberry Pi to handle high‑throughput LiDAR data. Implemented 360° LiDAR mapping, multi‑sensor fusion (ultrasonic, infrared, IMU) for obstacle avoidance, and navigation logic in C++ (embedded) plus Python (higher‑level coordination). System achieved reliable real‑time environment scanning with stable autonomous path planning and high cleaning coverage in lab tests.

• 360° LiDAR integration with efficient data handoff to Raspberry Pi
• Multi‑sensor fusion (LiDAR + ultrasonic + IR + IMU) for obstacle avoidance
• Custom mechanical housing designed in Autodesk Inventor and 3D printed
• Dual MCU architecture: Arduino (low‑level motor/sensor) + Raspberry Pi (navigation)
• Team collaboration: coordinated workflows across 4 contributors

Academic CFD study (HTW Berlin) performing a full aerodynamic analysis of a cambered NACA 2409 airfoil in Star CCM+ (assignment fully completed at 100%). Executed the complete workflow: geometry/curve import, surface preparation & region definition, parts‑based meshing with refinement, turbulence model selection, volume mesh quality evaluation (cell aspect ratio, volume change, skewness), parametric simulation across multiple angles of attack, and post‑processing (force coefficients, Cp distribution, velocity scalar/vector scenes, streamline visualization). Optimization iterations delivered a validated 15% improvement in lift‑to‑drag ratio over the initial baseline mesh.

• Implemented full assignment workflow (mesh generation, BC setup, model selection, reports)
• Generated refined surface & volume mesh with targeted local controls for leading/trailing edge
• Evaluated mesh quality: cell quality, aspect ratio, skewness, volume change – all within acceptable thresholds
• Simulated multiple angles of attack; derived CL, CD, and L/D curves
• Applied Spalart-Allmaras turbulence model for efficient external aerodynamic prediction

Fully automated smart plant watering & monitoring system (100% successful pilot) using a distributed microcontroller architecture: dual Arduino Uno boards for deterministic low‑level control and two ESP8266 modules for Wi‑Fi telemetry & remote overrides. Implemented adaptive irrigation logic combining real‑time soil moisture (capacitive sensors), ambient conditions, and time‑window constraints to prevent over‑watering. Integrated per‑zone calibration, fail‑safe dry/run pump protection, and notification hooks for threshold breaches. Achieved reliable unattended operation over multi‑week test with zero manual interventions and optimized water usage.

• Dual‑controller design: separation of sensing/actuation vs. network layer for resilience
• Adaptive moisture thresholding with hysteresis to prevent short cycling
• Zone‑based calibration & scaling for heterogeneous soil profiles
• Fail‑safe routines: pump timeout, moisture sanity checks, reservoir level guard
• ESP8266 telemetry endpoints prepared for future dashboard integration

Comprehensive life management Windows application integrating finance tracking, health metrics, habit & time planning modules into a unified C# WinForms interface backed by a normalized MySQL database. Implemented secure authentication, role‑scoped data access, category‑based budgeting with monthly variance analytics, recurring expense & reminder scheduler, calorie & activity logging, habit streak tracking, and calendar‑driven task planner. Added export (CSV/PDF) and interactive chart dashboards (spending trends, health progress) with cached query layer to reduce repeated aggregation overhead.

• Modular architecture: separate repositories for finance, health, planner domains
• Normalized relational schema with indexed frequent query paths (category + date)
• Custom validation & input sanitization reducing data inconsistencies
• Background scheduler for recurring transactions & reminders
• Chart dashboards with cached aggregates improving load latency