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Manan ***** Robotics Engineer

$480 / day

Summary

Overall, I bring over 1 year of dedicated experience in AI to my career journey. As an AI/ML Engineer at Dovetail Electric Aviation, my focus was on developing specialized predictive maintenance algorithms for battery systems. This involved applying advanced methodologies such as Random Forest Regression and Support Vector Machines to forecast critical metrics like State of Health (SoH) and Remaining Useful Life (RUL). These efforts were instrumental in enhancing battery performance and ensuring accurate maintenance schedules. Concurrently, at Sunswift Racing, Integrated Project, I led the development of technical sections within engineering solution guides, ensuring compliance with design regulations (ADRs) and meeting rigorous regulatory requirements in collaboration with Australian governmental bodies.

SKills

AWS EC2AWS FundamentalsBuilding Cloud Computing SolutionsC/C++Cyber Security ToolsDatabasesDockerExpress.jsGame Theory IGame Theory IIGITGitHubHTML/CSSIntelliJJavaScriptMapleMATLABMatplotlibNode.jsNumPyOpenCVPyCharmPythonPyTorchReactSQLSQL (Postgres)TypeScriptVisual StudioVS CodeWordPress
Data ScientistMachine Learning EngineerRobotics Engineer

Education

2022 - 2026 Bachelor of Engineering (Honours), Software Engineering at University of New South Wales

Experience

Dec 2023 - May 2024 AI / ML Engineer at Dovetail Electric Aviation

Investigated and analyzed Random Forest Regression and Support Vector Machines tailored for predicting battery metrics in a custom-designed fleet, with a specific focus on
State of Health (SoH) and Remaining Useful Life (RUL), aimed at delivering accurate servicing warnings for each battery. Developed and implemented predictive maintenance algorithms for battery systems within electric aviation, employing NumPy, Pandas, and PyTorch to estimate RUL and enhance overall battery performance optimization. Additionally:

– Conducted data-driven analysis to identify trends and patterns in battery performance metrics.
– Collaborated with cross-functional teams to integrate predictive models into existing operational frameworks.
– Conducted regular evaluations and refinements of predictive models based on real-time data feedback.
– Presented findings and recommendations to stakeholders, ensuring alignment with strategic objectives.

Sept 2023 - Present System Engineer at Sunswift Racing

– Spearheaded the development of technical sections within the engineering solution guide, ensuring comprehensive understanding of design rules (ADRs) across phases.
– Collaborated with the Australian Government to ensure strict compliance with ADR regulations, crucial for legal conformity.
– Conducted workshops and training sessions to educate team members on ADR regulations and implementation strategies.
– Implemented regular audits and reviews to monitor adherence to ADR requirements throughout project timelines.
– Provided advisory support on procedural enhancements to streamline compliance processes.
– Acted as a key liaison between project teams and regulatory authorities to resolve compliance issues effectively.

Feb 2023 - Jan 2024 External Relations Specialist at Redback Racing, Formula SAE Team

– Successfully cultivated and managed relationships with sponsors and partners, leading to a 20% increase in sponsorship revenue, amounting to $50,000 for the team’s 2023-2024
season.
– Developed sponsorship packages and proposals tailored to meet the needs of diverse sponsors, enhancing engagement and financial support.
– Organized networking events and sponsor appreciation activities to foster stronger partnerships and loyalty.
– Implemented a strategic outreach plan to attract new sponsors and diversify funding sources for long-term sustainability.
– Monitored sponsorship deliverables and ensured contractual obligations were met to maintain strong sponsor relationships.
– Evaluated sponsorship ROI and presented performance metrics to stakeholders to demonstrate the value of sponsorships.