Aman Sunesh — Designing intelligent systems — from quantum sensors to machine learning pipelines

Engineered a full-stack NV-center quantum diamond spectrometer for sensing.

• Executed precision optical alignment (beam focusing, AOM diffraction, polarization control).
• Synchronized RF/MW pulse sequences with NI-DAQ via PulseBlaster timing; implemented APD-based photon detection.
• Built a PyQt6 GUI around QuPyt for code-free execution: automated YAML/pulse-sequence generation, live ODMR fitting, nanosecond-level hardware sync, and intuitive experiment setup.
• Delivered a technical presentation to Mubadala UAE on integrating NV-based sensing for MRI enhancement (hardware-software workflow and experimental challenges).
• Presented at NYUAD Summer Symposium 2025; awarded 1st Place for Best Poster.

Led full-stack development of a PK/PD modeling platform for fitting, simulation, sharing, and reporting.

• React/FastAPI web app with 1-, 2-, and 3-compartment models; supports IV bolus/infusion, oral, and SC routes.
• Interactive dosing-regimen builder for repeats, custom multi-dose schedules, and infusion windows with live simulations.
• Per-subject fitting (SciPy) with KPIs (Cmax, Tmax, AUC), linear/semilog plots, VPCs, and auto-generated PDF reports.
• Designed PD coupling that consumes PK C(t) and returns effect-time series, including antibiotic kill dynamics (Emax/Hill) and EV→PMM2 activity mapping.

Produced emergency-response routing and recharge strategies for Koliwada using field surveys, GPS, and open mapping.

• Mapped critical emergency routes; conducted on-site surveys and GPS tracking to generate actionable, low-tech recommendations.
• Built a detailed emergency-response map by integrating observations and GPS data into OpenStreetMap and QGIS.
• Engineered an 8-minute fire-response plan and groundwater recharge strategy: sized pump/nozzle systems, proposed dual-use overhead tanks, and revived defunct wells as percolation pits.

Led 15+ cross-department projects improving water access, Wi-Fi, laundry, and sustainability with feedback-driven systems.