Mechatronics · UAV Avionics · Robotics · Embedded
AMAAN
NIZAM

Engineering autonomous systems
for the physical world.
Engineering things
that exist in
the physical world.
Mechatronics undergraduate at THWS Schweinfurt (4th semester), specialising in Robotics & Production and Applied Machine Learning. Focused on UAV avionics and systems integration: designed a full fixed-wing UAV avionics architecture covering power and signal routing, multi-sensor integration, and ArduPilot configuration, along with a working Python MAVLink telemetry logger.
Currently a student assistant at the THWS Center for Robotics (CERI). Comfortable across CAD (Fusion 360), embedded systems, and AI/ML. Building toward a career in autonomous systems and defense robotics. Also a founder: won 1st Prize at Campus Startup Day with FluxTation and selected for FLIGHT Accelerator 2026.
Full-stack
of the physical
layer.
Beyond
the technical
layer.
Foundations built
for
what's next.
B.Eng. Mechatronics
THWS Würzburg-Schweinfurt
4th Semester · Specialisations: Robotics & Production; Applied Machine Learning & Design of Experiments
Studienkolleg Engineering Preparatory Year
Berlin International College
Passed all subjects
- 9 engineering projects built
- 2x STIBET I Scholarship, DAAD (2025 & 2026)
- 1st Prize, Campus Startup Day 2025
- 2026 FLIGHT Accelerator, selected
- 8.0 IELTS band score
- 21 section UAV technical report
- CERI Student Assistant, THWS Robotics
- 3 student organisations led
AllyLens OS
AI Behavioral Intelligence Platform
A full operating system for workplace inclusion, built around one idea: awareness isn't the gap, words are. AllyLens detects inequality in real time and gives people the exact sentence to say in the moment. MeetingLens tracks interruptions and speaking balance; VoiceLens transcribes with speaker diarization; AllyCoach surfaces the precise phrasing to use; SafeCoach gives confidential guidance on rights under the German AGG and §201 StGB. 19 behavioral lenses cover idea attribution, invisible labor, bias, and LGBTQ+ inclusion. Beyond the office: OfficeHelp (one-tap 112/110 with AML auto-location) and AllyHelp (check-in timer, live location, fake-call exit). Single self-contained HTML file, 100% client-side, GDPR-compliant by design.
JarvisOS
AI Assistant System
A self-hosted AI assistant running entirely on your own machine via Docker: a web HUD, voice, persistent memory, a tool-using agent, and a Windows control agent. The conversational agent uses 28 tools with multi-step reasoning, web search, and vision. Multi-provider LLM routing (NVIDIA NIM primary, automatic fallback to Groq, OpenAI, Gemini). Memory combines pgvector semantic recall with a knowledge graph of structured facts extracted from conversations. Voice runs local Whisper in, Piper/ElevenLabs out, with optional Gemini Live real-time mode (~0.5s). Includes a Career OS (Arbeitsagentur job search, CV scoring, cover-letter drafting), OKR goal tracking with Telegram briefings, and a Windows PC-control agent with screen awareness and authority gating for destructive actions.
DroneHealth
Predictive Maintenance SaaS for Drone Fleets
A full-stack, multi-tenant SaaS platform for predictive maintenance and operations management of commercial drone fleets, built solo end to end and deployed live on the public internet. Detects battery, GPS, compass, and motor faults from telemetry, assigns each drone a 0-100 health score with temporal smoothing, and recommends safety-aware actions (CONTINUE / RTL / LAND). Features a live OpenStreetMap operations view, a Three.js 3D digital twin driven by real health data, fleet cost analytics, battery remaining-useful-life prediction, auto-created maintenance tickets, flight replay, black-box export, and an MAVLink connector for ArduPilot / PX4 / SITL. Multi-tenancy is enforced at every layer via org-scoped queries. Built on the honesty principle: every feature that needs real data or a trained model returns an explicit status rather than fabricating numbers, and detection is stated as simulation-validated, not yet proven on real flights.
UAV Predictive Failure Detection
ML Safety System for Drone Telemetry
A multi-fault predictive failure detection system for UAVs: machine-learning detection of battery, GPS, compass, and motor faults directly from live MAVLink telemetry. Pairs the detection model with a safety-aware operator console and live command-out, so a ground operator sees a fault forming and can intervene before it becomes a crash. Built as the intelligence layer on top of the TriFlight avionics work, turning raw telemetry into early-warning signals rather than post-incident logs.
TriFlight Initiative
Fixed-Wing UAV Avionics Design
Full avionics modernisation for a modular long-endurance fixed-wing UAV (Flightory Talon 1400). Redesigned power and signal architecture with failure-mode analysis. Selected hardware via six-criterion trade study: SpeedyBee/Matek F405 Wing FC, ArduPilot Plane, ELRS, M10Q GPS, MS4525DO airspeed sensor, SiK/ELRS telemetry. Wrote a working Python MAVLink telemetry logger verified against ArduPilot SITL. Defined 9 requirements and an 8-test bench protocol. Documented in a 21-section pre-experimental report. Custom Fusion 360 integration hardware (vibration-aware lift-motor mounts, cam-locked battery tray for CG stability) is published in a separate repo.
FluxTation
IoT Campus Power-Bank Rental Kiosks
IoT-enabled, modular and repairable power-bank rental kiosks for university campuses, with eco-design and optional solar kiosks. Built the pricing and business model, led prototype development with RFID locking and 3D-printed enclosures. Won 1st Prize at THWS Campus Startup Day. Selected for FLIGHT Accelerator 2026.
Modular IR Spectroscopy System
Mechanical Lead
CAD design of a modular cuvette-holder system in Fusion 360 with four interchangeable path-length inserts (1, 2, 5, 10 mm) and a manually adjustable tilt base (−15° to +15°). Universal beam-splitter docking system with swappable cassettes for plate and cube splitters, supporting optics up to 70×70×70 mm across UV to mid-IR ranges. Contributing to Raspberry Pi / AD-DA acquisition, Woodpecker CNC v3.1 stepper control, and Python detector readout with wavelength-angle calibration.
AI Disease Prediction System
Hybrid BERT + GPT-4 Platform
Hybrid AI platform combining a locally fine-tuned BERT model with the GPT-4 API for symptom-based disease prediction. Multi-step conversational interface with a retraining pipeline for continual learning. Systematically evaluated model performance and released open-source with full documentation.
Arduino Traffic Light System
German-Style Smart Controller
German-style smart traffic light system using Arduino Uno. Features pedestrian modes with realistic cycling, night-mode flashing, and sensor-based automation. Designed complete electrical wiring and control logic. Fully documented on GitHub.
Where I've
built things.

“From designing UAV avionics in a university lab to pitching a campus startup to investors — I build things that exist in the physical world and make a case for why they should.”
Building student-founder communities and entrepreneurship culture across both THWS campuses. Supporting ecosystem engagement and startup initiatives through the GeNeSiS program.
Shared charging and advertising infrastructure for high-footfall public spaces, starting with university campuses. Modular, repairable powerbanks via RFID-enabled kiosks. Received permission to run a pilot trial at a German university. 1st Prize, THWS Campus Startup Day. Selected for FLIGHT Accelerator 2026.
Organizing and executing international student excursions (Bamberg, Nürnberg). Managing logistics and on-ground operations. Supporting integration of international students into university and local community.
Designed marketing materials, event posters, and digital content for MUN conference (June 2026). Acted as liaison between the MUN team and faculty. Organized field trip to strengthen community engagement.
Leading Germany's largest international student network's local chapter. Strategy, events, partnerships, and outreach. Leading cross-functional teams across marketing, events, and community building.
SEO-optimised blog content and social media visuals for international students. 3 published articles with photos. Content highly appreciated by DAAD editorial team and readers.
Supported planning and execution of large-scale university open-day event. Event operations, visitor engagement, information desks, lab activities, and logistics.
Digital campaign planning, content creation, media research, and analytics reporting. Drafted social media posts, blog articles, and press materials for multiple client projects.
Honors & awards
- 2025–26STIBET I Scholarship (awarded twice)DAAD · merit-based, consecutive years
- 2026FLIGHT Accelerator, selectedFluxTation
- 2026Q-Summit, selectedTop student entrepreneurs
- 20251st Prize, Campus Startup DayTHWS · FluxTation / VoltShare
- 2024Ethical Hacking & Quantum Computing BasicsIIT Delhi TRYST, certified
- 2023IELTS Band 8.0IDP Education · C1/C2 proficiency
- 2021Published Author, "Be Cyber Safe"Cybersecurity awareness book
- 20202nd Prize, Cyber Breaches Research Paper
What people say
His proactive mindset was particularly notable — he not only executed the tasks assigned to him, but also contributed thoughtful suggestions for improving workflows. I strongly emphasize Mr. Nizam's outstanding social commitment, technical skills, reliability, and initiative.
Amaan is a very diligent, conscientious and reliable worker. The professional appearance of the MUN Student Group can only be attributed to the output that Amaan has given. He communicates clearly and well with all parties involved.
Since June 2025, Amaan Nizam has volunteered as a blogger for Study in Germany — Land of Ideas. Their work has had a very positive impact, and the articles have been highly appreciated by both the DAAD editorial team and our readers.
LET'S BUILD
SOMETHING.
Open to internships and research collaborations
in autonomous systems and hardware.