Nicolas
Ramirez

Bachelor of Applied Science (BASc.) - Computer Engineering (Honours)

• Study abroad: National University of Singapore — Product & Project Management courses (Jan. 2024 – May 2024)
• Awards: EGBC Student Leadership Scholarship ‘23; SFU Alumni Association Outstanding Student Leadership ‘24
• Programs: SFU Management Consulting Career Preparation Program ‘25 — Ranked 1st in Cohort

Study Abroad Program - Product & Project Management Concentration

• Drove next-generation humanoid robotics programs by translating ambiguous technical objectives into delivery timelines, technical milestones, and owner assignments, ensuring alignment for hardware and physical AI model teams.
• Led post-deployment retrospectives with customer-facing teams to reprioritize high-impact features, refine technical requirements, and optimize timelines for future robotics deployments and product releases.

• Led a $20M vessel navigation hardware & software program, partnering with Engineering, Product Management, and Supply Chain to define requirements, prioritize features, and align deliverables with client needs.
• Managed inventory and procurement to meet tight production timelines by developing Power BI dashboards for data-driven resource allocation, reducing development costs by 30% and achieving on-time production readiness.

• Drove the development of an embedded IoT cybersecurity solution using Jira and Confluence, managing internal and external Agile teams by crafting program-wide sprint and release plans and scope agreements for our products.
• Facilitated collaboration with AWS development partners by leading cross-organizational meetings to identify, communicate, and resolve dependencies through clear time and cost estimations, risk registers, and shared ownership.
• Developed a Kanban-based process proposal to streamline development flows, reducing program delays by 25% throughout the SDLC, gaining strong approval from leadership for future implementation.

• Engineered a Motorized Polarization Controller (MPC) in C on Texas Instruments Tiva C Series Microcontroller for automatic alignment of a model eye, handling serial communication via UART and ISRs for photo-interrupts.

• Led product vision and cross-functional delivery for a 40+ student agency, aligning organizational strategy and overseeing 3+ Agile software projects from ideation to launch to empower local communities and nonprofits.
• Translated client feedback, A/B and UAT results, and telemetry into prioritized feature requirements, product roadmaps, and KPIs to guide iterative improvements and increase user adoption and client impact.
• Leveraged MCP-integrated AI development workflows across Figma, Cursor, Claude, and Notion to accelerate prototyping, PRD drafting, and competitive analyses, reducing stakeholder feedback cycles by 30%.

• Led competitive market analyses, iterated Figma wireframes, and set product vision for a medical consultation transcription app using LLaMA LLM, React, and Azure APIs, positioning the team within the top 5 of 100+ teams.
• Partnered with designers and developers to prototype high-fidelity UX flows, refine technical requirements, and translate product vision into implementable AI-powered product features.

• Pitched a search and rescue mobile app at the Coast Capital Venture Competition and was selected as Top Finalist ($5000 Award), due to deep market analysis, promising revenue model, go-to-market strategy, and strong pitch.
• Wrote product requirement documentation, created user personas, and defined performance metrics by leveraging 15+ customer interviews, user surveys, and competitive analyses for early-stage product-market validation.

• Managed a team of 27 multidisciplinary student leaders, a $30,000+ operating budget and aided Student Affairs with COVID-19 strategies, representing 1.1k engineering students to faculty, alumni and industry.
• Launched the first of its kind, student-led Tutoring & Mentorship programs, backed by the department director.
• Successfully hosted our largest annual career fair OpFair, through strong communication with shareholders, yielding $10,000, +300 students & +15 companies to recruit our students for internships amidst the pandemic.

• Developed a mobile application for our tracking device on Dart that implemented Google Maps API, serial communication and a variety of features including night-mode following a Model View Controller (MVC) design.
• Gathered feedback from potential customers to refine product requirement documentation & roadmap.
• Spearheaded our entry at the Coast Capital Venture Competition and was selected as Top Finalist ($5000 Award), due to deep market understanding, product design, go-to-market strategy and strong pitch.

• Built a multi-threaded memory allocator in C on Linux using shared data synchronization tools & various memory management techniques including best, worst, & first fit allocations, & memory compaction.
• Developed a custom syscall that returned information on a current process and all ancestor processes to ensure the efficient use of multiple processes working in parallel and safe memory access in user and kernel spaces.

• Implemented a Command Line Interface (CLI) application that uses SQL to handle requests in plain English for borrowing, returning, and managing library items, customer records, events, and fines.
• Designed a fully normalized database structure ensuring data integrity and avoiding anomalies by following Boyce-Codd Normal Form principles and a comprehensive ER design.

• Developed a desktop game in Python, based on the Battleship board game with new attacks and ships.
• Implemented key gameplay features and game state management, including player actions, AI interactions, and game state transitions, ensuring data integrity and smooth gameplay continuity.
• Followed creational, structural and behaviour software design patterns, ensuring efficient software architecture while obeying the Gestalt principles for intuitive UI Design.
• Designed and implemented efficient save/load functionality and database interactions to ensure reliable data storage and retrieval.

• Designed and integrated advanced adversarial search algorithms in Python, including MinMax with Cutoff Depth, AlphaBeta Pruning, and MonteCarlo Tree Search to enhance the difficulty of an AI opponent.
• Created a sophisticated evaluation function to assess board configurations for their winning potential.
• Coded GUI features to manage search time and depth, enabling iterative deepening and ensuring responsive gameplay for larger board sizes.

• Utilized Python, Keras, and Tensorflow to investigate the viability of CNNs to correctly classify hematopoietic cells from 945 human patients from 171,374 MRI images.
• Identified architecture & hyperparameters that reduced over-fitting and promoted generalization of our model.
• Implemented data augmentation models, including geometric transformations, to reduce dataset imbalances and increase the F1 score of band neutrophil cells by 18%.

• Utilized ARM7 assembly programming language to develop a series of low-level projects including developing interrupt service routines & Fibonacci counters while using timer interrupts & pulse-width modulation for optimal Hardware/Software co-design.

• Coded an implementation of the ymodem file transfer protocol in C++ using multithreading & designing test cases to ensure the development of a robust protocol that is resilient to data corruption.
• Improved the professor’s project library code and upgraded the thread management features.