PORTFOLIO & LAB SPECIFICATION // 2026 LOC: 22.5609° S, 17.0658° E

Hi, I'm Tinotenda Mapara

terminal M.Sc. Elec & Comp Engineering

I design embedded hardware, intelligent edge systems, and full-stack software. From circuit and PCB design to production-ready applications!

Portrait of Tinotenda Mapara
ACADEMIC FOUNDATION

Degrees & Research Laurels

INSTITUTIONAL ACCREDITATIONS
2017 — 2021 verified LOWER SECOND

Bachelor of Science (Honours)

Electronics & Computer Engineering

DESIGN PROECT // ELECTRONICS LAB

"The Design of a sun Tracking System for Photovoltaic Panels"

The design and implementation of an automated sun-tracking system to maximize the energy output of photovoltaic (PV) panels utilising a microcontroller-based control unit, LDR sensors and motors. The system dynamically adjusts the orientation of the panels to follow the sun’s trajectory throughout the day.

CORE AREAS: Embedded C/C++ Microcontroller Kalman Filter PID Controller
SYSTEMS CAPABILITIES

Engineering Stack

My work spans embedded systems, analogue and digital circuitry, PCB design and fabrication, telecommunications, and end-to-end software architectures. I also build machine-learning systems for intelligent edge computing, connecting physical devices to the software and data infrastructure that powers them.

HARDWARE EMBEDDED CONNECTIVITY SOFTWARE / AI
memory
DOMAIN 01

Electronics & Hardware

Circuit design, PCB development, prototyping, test & measurement, and hardware validation

Analogue & Digital Design Circuit Design
KiCad / Proteus EDA PCB Design
Oscilloscopes & Signal Generators Measurement
Spectrum Analysers RF / Signal
Multimeters & Logic Analysers Debugging
developer_board
DOMAIN 02

Embedded Systems

Firmware, microcontrollers, real-time systems, and hardware-software integration.

ESP32 / STM32 & RP2040 Embedded Development
FreeRTOS Real-Time Systems
FPGA / Verilog Digital Logic
UART, SPI, I2C, CAN Hardware Interfaces
settings_input_antenna
DOMAIN 03

Communications & IoT

Wireless connectivity, telemetry, networking, and connected-device systems.

LoRa / LoRaWAN Gateways Wireless IoT
NB-IoT, LTE-M Cellular IoT
TCP/IP Sockets & MQTT Network Protocols
Wi-Fi & BLE Connectivity
cognition
DOMAIN 04

Software & AI

Full-stack applications, APIs, data infrastructure, and machine learning.

React / Tailwind Frontend
Python / NodeJS Backend
MySQL & Firebase Data
TensorFlow Machine Learning
KNOWLEDGE DISSEMINATION

Technical Publications & Insights

View all peer papers & notes arrow_forward
PEER REVIEWED // SpringerNature MAY 2026 DOI: 10.1007/s10846-026-02406-9

Deep Learning Based Micro-Drone Detection for Reliable Counter-Drone Systems using Multiple Sensors

Micro-drones are easily attainable due to their affordability and ease of operation. However, their malicious use has led to increasing security concerns, necessitating the development of reliable counter-drone systems. In the literature, numerous...

PEER REVIEWED // Scientific.Net NOVEMBER 2025 DOI: 10.4028/p-Jk8fXW

Physical Modeling of Smart Monitoring Systems for Sustainable Water Distribution in Ongwediva Town

Water distribution systems are critical to urban infrastructure, especially in regions facing water scarcity. This study focuses on the design of an innovative water distribution system with smart monitoring for Ongwediva Town in Namibia,

PEER REVIEWED // SpringerNature OCTOBER 2025 DOI: 10.1007/s44163-025-00532-1

Lightweight machine learning models for drone detection using acoustic and optical features

The widespread deployment of drones has triggered major concerns over privacy and security, creating a demand for robust anti-drone systems (ADS). A critical component of ADS is the detection unit, which identifies drones in an unauthorized area.

PEER REVIEWED // IEEE JUNE 2025 DOI: 10.1109/ICC-ROBINS64345.2025.11086287

Performance of machine learning models in drone detection using optical features

The development of an efficient Anti-Drone System (ADS) is necessary due to the increasing demand caused by the rapid rise in privacy and security risks associated with drones. These risks have become more frequent due to the widespread development

COMMUNICATION CHANNELS

Let's Get In Touch

Available for select consultancies, specialized hardware prototyping, embedded firmware review, front-end & back-end projects and academic research collaborations.

DIRECT DISPATCH
contact@tmapara.com
Response window typically within 24 lab hours.
Connnect with me on socials
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