
Hear From Our Community
Section Reviews Samples
Professional Summary
Original Section:Software Engineer with 7+ years of experience developing and optimizing software for real-time embedded systems. Currently focused on Deep Learning (DL) model deployment and acceleration for a RISC-V GPGPU. Skilled in developing runtime software and utilizing hardware modules and graph-level optimizations for efficient ML workload execution. Proven ability to deliver reliable, scalable, and maintainable software solutions for major automotive Tier-1 suppliers and OEMs in Agile environments.Suggestions for Improvement:
- Try to condense the summary into 3–4 impactful sentences. The current summary is informative but can be tightened to ensure every word counts. For example, you might combine the first two sentences to quickly state your experience and current focus in one go.
- Include powerful keywords that align with your target roles. You already mention “Deep Learning,” “Embedded systems,” “RISC-V GPGPU,” etc. Ensure that terms like “real-time,” “machine learning,” “hardware acceleration,” or “neural networks” are present if those are relevant to the jobs you seek. For instance, explicitly mentioning “neural network acceleration” could be a plus for ATS if job postings use that term.
- Simplify complex phrasing for clarity. For example, “utilizing hardware modules and graph-level optimizations for efficient ML workload execution” is technically accurate; you could rephrase it as “leveraging hardware accelerators and graph optimizations to execute ML workloads efficiently.” This maintains the meaning but reads a bit smoother to a broader audience.
- Emphasize your impact or achievements in a general way. The last sentence currently notes delivering solutions for Tier-1 suppliers in Agile environments, which is good. You might tweak it to highlight a personal strength, e.g., “Proven ability to meet strict performance targets and deliver robust software solutions to Tier-1 automotive suppliers in Agile (Scrum) teams.” This way, you’re highlighting both the outcome (meeting targets, delivering solutions) and the context (Tier-1, Agile/Scrum).
- Ensure the tone is confident but not overly technical. The summary should be accessible to HR personnel as well as technical managers. You’ve struck a good balance, just make sure any acronym is understandable (you did define DL for Deep Learning, which is good). You might define GPGPU in parentheses (“general-purpose GPU”) if space allows, to ensure understanding.
Embedded software engineer with 7+ years of experience developing and optimizing real-time embedded systems software. Currently focusing on deploying and accelerating deep learning models on a custom RISC-V general-purpose GPU (GPGPU), with expertise in runtime development and hardware-level optimizations for efficientmachine learning execution. Demonstrated ability to deliver scalable, high-performance solutions – achieving strict performance targets and reliability standards for major Tier-1 automotive suppliers – while collaborating in Agile/Scrum environments.
Work Experience
Epic Games – Cary, NC
• Integrated new user agreements system across all Epic Games platforms, including periodic re-prompting of new legal agreements, and a 2.5 billion record migration from the previous system • Implemented new ID verification vendor for Epic Games users and enabled full vendor switchover that resulted in $XX million in annual cost savings • Led a group of engineers as part of establishing Epic Games’ official presence in Vietnam; scope included Vietnam account creation and setup, and collaboration with partner VNG Corporation team • Built numerous features for a feature access rules engine, including internal developer testing/debugging quality-of-life improvements • Served on interview question committee to maintain and improve engineering interview question bank, and infrastructure customer advisory board to relay product team concerns and feature requestsSuggestions for Improvement:
- Clarify and quantify placeholder metrics (“$XX million”) or remove if exact figure is confidential.
- Break long bullets into two where necessary to focus on specific achievements.
- Use past tense for completed work; present tense for ongoing.
- Emphasize impact on users or business (e.g., reduction in compliance infractions, time saved).
- Capitalize “Customer Advisory Board” and remove filler words like “numerous.”
Epic Games – Cary, NC
Senior Software Engineer (Dec 2021 – March 2025)
- Integrated a unified user‑agreements framework across desktop, mobile, and console clients, migrating 2.5 billion records with zero downtime and enabling periodic re‑prompts for compliance updates.
- Led migration to a new identity‑verification vendor, reducing annual verification costs by an estimated $3 million while maintaining 99.9% uptime.
- Headed the engineering launch in Vietnam (team of 4), overseeing local account provisioning, authentication workflows, and partnership integration with VNG Corporation.
- Enhanced the feature‑access rules engine by adding debug hooks and test utilities, cutting developer triage time by 30%.
- Contributed to the Interview Question Committee and Infrastructure Customer Advisory Board to standardize interview practices and funnel product feedback into engineering roadmaps.
FAQs
How does the resume review process work?
You simply upload your resume on our platform. Our team of FAANG engineers will review it and provide detailed feedback. Once the review is complete, the feedback will be visible to you on the same page where you uploaded your resume.
What’s included in my resume review?
Our resume review includes a thorough analysis by FAANG engineers who will evaluate your resume's structure, content, and formatting. You’ll receive specific, actionable feedback on how to improve your resume to better align with your target roles. We focus on optimizing your resume for both ATS systems and human recruiters.
Can I get my resume reviewed in real-time?
We currently do not offer live resume review sessions. Our process is designed to give our reviewers ample time to thoroughly analyze your resume and provide the most valuable feedback possible.
How long does it take to get feedback on my resume?
Typically, our team takes 3-5 business days to review your resume and provide feedback. This timeframe ensures that our reviewers have enough time to carefully evaluate your resume and offer actionable insights.
Who will review my resume?
Your resume will be reviewed by experienced engineers from top FAANG companies. They bring in-depth knowledge and industry-specific insights to help you craft a resume that stands out to tech recruiters.
Can you review my LinkedIn profile?
At this time, we focus exclusively on providing detailed resume reviews to ensure we deliver the highest quality service. While we don't offer LinkedIn profile reviews, the insights and improvements we provide for your resume can often be applied to your LinkedIn profile as well.