CUT TO:
INT. EXPERIENCE ARCHIVE — PRESENT DAY
The USER moves on.
A timeline of teams, research, systems, and increasingly ambitious engineering decisions appears.
DIVAKAR DESSAI
Experience
Experience File 01
UNSW AUStronauts
Sydney, Australia
SWE & Business Team Mentor
Aug. 2026 — Present
Continuing to support the technical and organisational development of UNSW AUStronauts across software systems and business operations.
Scene Notes
- Mentoring software and business teams as the CubeSat project progresses toward later mission phases.
- Supporting continuity across technical planning, team structure, and project execution.
Software Engineering Team Lead
Sep. 2024 — Aug. 2026
Led the software engineering effort for a student-built 3U CubeSat mission studying space weather.
Scene Notes
- Led a 5-person software engineering team evaluating and prototyping fault-tolerant CubeSat software architectures.
- Investigated Linux, MCU, and hybrid onboard-computing platforms alongside Cube-OS and KubOS.
- Explored watchdog recovery, distributed subsystems, and resilient communications.
- Led development of AUStronauts' in-house Next.js and React web platform.
- Translated multidisciplinary engineering requirements into an accessible public-facing product.
Business Team Lead — Sponsorships & Acquisitions, Marketing
Sep. 2025 — Aug. 2026
Founded and led AUStronauts' dedicated business function alongside my software responsibilities.
Scene Notes
- Founded and led a 3-person Business Team.
- Established Sponsorships & Acquisitions and Marketing functions.
- Built the project's brand, digital presence, and external partnerships from the ground up.
Production Notes
Experience File 02
UNSW Tyree Foundation Institute of Health Engineering
Sydney, Australia
Honours Thesis — TCC360
Sep. 2025 — Aug. 2026
Developed clinician-facing software for TCC360, the next evolution of the TeleClinical Care virtual-care platform.
Scene Notes
- Re-engineered TCC's clinical CarePlan architecture to support modular, scalable, and interoperable workflows.
- Preserved historical clinical records through standards-based FHIR resources.
- Designed and implemented a working clinician-facing CarePlan prototype.
- Supported care-plan customisation, patient monitoring, scheduling, messaging, and AI-assisted insights.
- Applied iterative user-centred design to reduce navigation and cognitive burden.
- Integrated a clinician-controlled AI assistant with persistent FHIR-based conversation history.
Production Notes
Experience File 03
Dial4242 Ambulances
Remote
Software Engineering Intern
Dec. 2025 — Feb. 2026
Built machine-learning and analytics tools for ambulance demand forecasting and operational decision support.
Scene Notes
- Built and evaluated an XGBoost demand-forecasting pipeline using temporal, historical, and geographic features.
- Predicted next-day ambulance demand across low-volume regional operations.
- Developed two decision-support dashboards spanning forecasting and operational analytics.
- Surfaced KPIs, historical trends, and regional demand patterns for daily operations.
- Evaluated LLM-based forecasting against traditional machine-learning approaches.
- Used the comparison to inform the final modelling direction for sparse spatio-temporal demand.
Production Notes
FADE OUT.
The résumé remains on the table.