Projects

Energy-Efficient Remote Imaging Solution (2022 – 2025)

• Engineered an ultra-low-power imaging system utilizing an ESP32 microcontroller and camera module designed for long-term battery-operated deployment with modifications to the ESP32CAM.
• Optimized hardware and firmware power states, implementing deep sleep cycles and hardware gating to minimize quiescent current draw during idle periods.
• Developed a secure data transmission pipeline to encrypt and upload captured images over Wi-Fi/TLS to a remote server while minimizing device uptime.
• Designed a custom 3D-printed enclosure to securely house the electronics, camera lens alignment, and battery power supply for durability.

Cloud-Integrated Power Inverter Digitalization (2022 – 2024)

• Digitalized Voltranic power inverters by deploying and configuring the open-source inverter_poller application to automatically fetch real-time operational metrics.
• Built a direct telemetry data pipeline to process and store inverter diagnostics (voltage, load, and thermal stats) directly into Prometheus.
• Deployed interactive Grafana dashboards with automated alerting and live status monitoring, early warnings, and historical trend analytics.

Kinematic Data Acquisition Framework (2019 – 2023)

• Developed an embedded motion analytics framework using a Teensy microcontroller to sample impact metrics via ADXL377 analog sensors.
• Optimized high-frequency ADC sampling routines in embedded firmware to capture rapid, low-latency acceleration data and stream it to a host PC.
• Built a real-time Python application to stream, process, and plot kinematic data feeds directly from the hardware in real-time.
• Implemented localized digital filtering (including FFT) on incoming data to clean up sensor noise and accurately isolate peak impact forces.

Smart Building IoT (2021 – 2022)

• Developed an IoT gateway using Python to aggregate environmental data and track real-time appliance power consumption from Tuya smart plugs.
• Integrated RuuviTag BLE beacons via the gateway to manage facility security and early mold detection.
• Engineered a dual time-series data pipeline, routing BLE data to Prometheus and power metrics to InfluxDB for optimized storage.
• Designed dynamic Grafana dashboards with automated alerting to track live KPIs, instantly routing security and power anomaly warnings directly to a Telegram channel.

Engineering Automation & Technical Mentorship (2020 – 2024)

• Led a research initiative to mentor engineers in machine learning while developing custom software tools to automate engineering design workflows.
• Mentored a team of junior engineers in software engineering best practices, guiding them from initial research to the development of practical machine learning applications.
• Developed custom CAD and simulation automation scripts, utilizing reinforcement learning techniques to optimize design parameters and cut down simulation times.
• Supervised internal IT and data systems, ensuring the underlying infrastructure could effectively support data-intensive machine learning training workflows.
• This work led to a publication: A novel heuristic approach to detect induced forming defects using point cloud scans (DOI: 10.1017/pds.2024.75).

Intelligent IoT Audio Infrastructure (2017 – 2019)

• Built a scalable IoT audio system for smart classrooms, managing real-time data streaming across multiple hardware slave nodes.
• Developed a custom Python-Qt desktop app for spatial sound processing, acoustic mapping, and real-time audio playback.
• Optimized multithreaded tasks to collect, process, and visualize low-latency audio metrics from slave hardware without lagging.
• Designed the network telemetry protocols to ensure reliable, secure communications between the slave audio units and the master control dashboard.

Smart Firefighting UGV (2015)

• Engineered an 80‑kg armored unmanned ground vehicle (UGV) with stainless steel track belts, achieving a 1 km operational range in various environments.
• Integrated advanced embedded hardware and sensor fusion, enabling real‑time data streaming for enhanced situational awareness.
• Optimized control systems and resource management, resulting in improved reliability and performance under field conditions.
• Implemented secure communication protocols with data corruption detection, ensuring reliable wireless operation.
• Showcased safety features that increased firefighting efficiency and personnel safety compared to manual extinguishing methods.
• Recognized externally (Karachi Expo, 2016): The platform drew interest for potential adaptation in maritime firefighting and safety applications at sea.

Autonomous Robot (2014)

• Designed an autonomous robot capable of obstacle avoidance and line following, demonstrating early interests in embedded systems, control logic, and sensor interfacing.
• Designed a custom SMPS for optimized power delivery and a BMS using lithium batteries for reliable field operation.
• Developed strong troubleshooting practices through hands-on debugging of hardware-software integration issues, skills that proved invaluable throughout my career.

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