Tips For Writing A Resume For Tech Jobs

I’ve reviewed 2000+ resumes for AI/ML roles in the last 5 years. Here are 7 tips to make your resume stand out: 🔸 Tip 1: Showcase End-to-End Project Work Describe projects where you took an idea from concept to deployment. Outline the problem, data collection, model development, validation, and deployment. Demonstrate your ability to handle the entire lifecycle of an AI/ML project. 🔸 Tip 2: Quantify Your Contributions with Real-World Impact Use concrete metrics to quantify your achievements, such as 'Reduced customer churn by 20% through predictive modeling' or 'Increased sales by 15% with a recommendation system'. Real-world impact is more compelling than theoretical knowledge. 🔸 Tip 3: Highlight Collaboration with Cross-Functional Teams Showcase your ability to work with data engineers, product managers, and other stakeholders. Mention specific instances where you collaborated to deliver impactful AI/ML solutions. 🔸 Tip 4: Emphasize Deployment Experience Highlight your experience with deploying models into production environments using tools like Docker, Kubernetes, or cloud platforms such as AWS, GCP, and Azure. Include specific examples and the impact they had. 🔸 Tip 5: Include Open Source Contributions If you’ve contributed to open-source AI/ML projects, list these contributions. Mention any significant pull requests, issues resolved, or your role in major projects. This demonstrates your commitment and expertise. 🔸 Tip 6: Focus on Recent Technologies Mention your proficiency with LLMs, reinforcement learning, or other generative AI technologies. Highlight any recent work or projects involving these technologies. 🔸 Tip 7: Keep Up with Industry Trends Stay updated with the latest trends and advancements in AI/ML. Mention any relevant courses or technologies you have learned and always keep that tab up-to date. This shows your dedication to continuous learning and staying current in the field. #ai #career #resume

As a recruiter for top tech companies, I’ve reviewed 1,000+ resumes. You only need to get these 5 sections right to land 6-figure interviews. 1. Positioning Statement Forget the generic “motivated team player” summary. Your top section should tell me in 3 lines: - Who you are - What kind of problems you solve - Where you’ve done it Example: “Backend engineer with 4 years of experience scaling infra at early-stage startups. Shipped distributed systems handling 50M+ requests/day. Currently focused on latency, observability, and developer experience.” If this section is clear, I’ll keep reading.  If it’s vague, I won’t. 2. Experience (But Structured Like a Case Study) Instead of dumping tasks, each role should answer: - What were you hired to do? - What did you actually build or own? - What changed because of your work? Bullet points should reflect results, not responsibilities. Redesigned caching logic → reduced API latency by 47% across 3 services. Led incident response for system outage → cut recovery time by 60%. That’s what hiring managers remember. 3. Company/Team Context Especially if you worked at a large company, give 1 line of context. “Worked on the Ads ML Infrastructure team at Meta, supporting $XXB in annual revenue.” It helps recruiters understand the scale and environment — fast. 4. Projects Section (Optional, but powerful) For newer engineers or people transitioning into tech, 1-2 serious projects can carry a resume. But only if you show real thinking and impact. Instead of: Built a web app using React and Node. Try: Built a budgeting tool used by 800+ users; integrated Stripe and Plaid APIs, reduced error rate to <0.3%. Show that you didn’t just code, you shipped. 5. Skills That Support the Story Don’t list everything you’ve ever touched. List the tools, stacks, and domains that match what you’re applying for. And reinforce them in your bullet points. “Python” in your skills section means nothing if your experience doesn’t prove you’ve used it in real scenarios. Your resume's job isn’t to tell your life story. It’s to get you in the room. If yours isn’t built to convert, it’s time to rethink it. Repost if this helped. P.S. Follow me if you are a job seeker in the U.S.  I talk about resumes, job search, interview preparation, and more. 

I got interviews from companies like Amazon, SAP, Siemens, etc., and everyone talks about resumes with a STAR format and quantifying impact. But what about the resume details that actually make a difference? Based on what’s worked for me, I’m sharing a few overlooked (but practical) tips that can help you. Let’s dive in 👇 1. Use U.S. Letter Size & Thoughtful Formatting: 🧠 Why it matters: Many ATS systems and recruiters in the U.S. are used to U.S. letter format(8.5x11, not A4). A4 may cause layout issues, especially with margins and alignment on different systems. 🎯 How to do it: ▪️ Use 0.9–1.15 line spacing, and margins of 0.5 to 1 inch for a perfect balance. Helps your content breathe without looking bare. ▪️Design psychology: Cramped resumes feel overwhelming; too much white space feels empty. ▪️Some candidates try to trick ATS by adding keywords in white text, invisible to humans. It’s detectable, unethical, and can actually get you blacklisted. 2. Human-First, Then ATS-Friendly 🧠 Why it matters: You’re not interviewing with an algorithm. Recruiters, often not from your domain, are the first to read your resume. 🎯 How to do it: ▪️Use clean formatting, consistent font sizes (10.5–12 pt), and easy-to-skim sections. Make sure your sentences make sense to anyone and not just someone technical. ▪️AI can help refine your wording, but always proofread for clarity and tone. Include context when numbers alone aren’t clear: ❌ “Increased sales by xy%” sounds great but without context, it’s meaningless.  So, add scope + baseline if you can: ✅"Boosted monthly sales by xy% within xy months by introducing a GTM strategy across 2 digital channels." 3. Pass the 6-Second Scan with Story-Driven Bullets 🧠Why it matters: Recruiters skim resumes fast, often under 6 seconds, so your bullet points need to do more than just list tasks. (PS: Studies show recruiters scan resumes in an F-shaped pattern: left to right, top to bottom. The top third of your resume (the “hot zone”) gets the most attention.) 🎯 How to do it: ▪️Start each bullet with the intent or principle behind the action (e.g., “Customer Obsession,” “ETL Pipelines”). ▪️Avoid robotic phrasing like: ❌“Built a dashboard to track engagement metrics.” Instead, make it strategic: ✅Customer Obsession: Launched in-product surveys in Excel to surface user pain points, leading to a 22% increase in feature engagement. Hope this helps!  Please share what worked for you, or if you need a template. #ResumeTips #ProductManagement #JobSearch #CareerAdvice #InternationalStudents #TechCareers #EarlyCareer #LinkedInTips

Are you a student or early-career professional struggling to get callbacks after submitting your resume? I’ve been there. During my first year of grad school, I blamed the job market when I didn’t get a single interview for nearly seven months. I started applying for Summer 2024 internships in August 2023, but didn’t receive my first callback until March 2024. Over time, I began refining my resume based on what the industry values and what it takes to stand out. That made all the difference. Here are some of the most important lessons I’ve learned: 1. Keep the Format Simple Avoid horizontal lines, text-heavy formatting, or excessive bolding. They clutter your resume and make it harder to read. Could you stick to one page? If you can’t explain your work clearly and concisely, you’re not ready to present it. 2. Don’t Just List Tools or Describe the Problem, Explain What You Did Many students focus too much on the business problem (“Built a dashboard for retail analytics”) and gloss over the engineering behind it. Even worse, some just list the tools used: “Used Python, Flask, and AWS to build a service that did X.” Instead, go deeper. What did your Flask service do, exactly? What challenges did you face? What decisions did you make? As engineers, we’re expected to show technical depth. If your resume can’t reflect that, you’ll struggle to stand out, especially for technical roles. 3. Be Realistic with Metrics Many resumes include lines like: “Improved model accuracy from 12% to 95%.” This kind of stat, usually influenced by generic advice from career centers or the internet, raises red flags. It often signals that the project wasn’t technically complex to begin with. Instead of inflating numbers, focus on what you improved, how you improved it, and why your work mattered. Strong technical framing > flashy percentages. 4. Clarity > Buzzwords You might write something like: “Leveraged CUDA for token-level optimization of transformer inference under real-time constraints.” It sounds cool, but what does it mean? This happens when people assume the reader will be as familiar with the project as they are. But if someone in your field has to guess what you did, you’ve already lost them. Don’t rely on buzzwords to do the talking; let clarity drive the message. 5. Your Resume Isn’t for You Your resume isn’t meant to impress you. It’s intended to communicate what you’ve done to people who don’t share your background. Most first-round reviewers aren’t ML engineers or CUDA developers. They often rely on keyword checklists and rubrics to decide which resumes move forward. The one thing that matters is: Can you clearly explain what you did and why it mattered? That’s it. Feel free to put your thoughts in the comments. Follow me for more advice!

This ENTRY LEVEL resume got interviews at Palantir Technologies, Amazon, Microsoft, Google & here are the reasons why: 1. Strategic Information Hierarchy: - Education is rightly placed at the top (May 2024 graduation). - Clear, bolded section headers (EDUCATION, EXPERIENCE, PROJECTS, ACHIEVEMENTS, TECHNICAL SKILLS) guide the reader's eye. - Consistent date and location formatting on the right margin keeps it tidy and easy to scan. (MAKE IT EASY FOR RECRUITERS!) 2. Quantifiable Achievements Everywhere: - "achieving a 23% reduction in latency" (Amazon) - "reduce API load by 30%" (Amazon) - "HackWashu Hackathon 1st Place" - Metrics demonstrate the impact of their work. 3. Action Oriented & Tech Specific Descriptions: - Starts bullet points with strong verbs: "Optimized," "Implemented," "Directed," "Spearheaded," "Engineered," "Developed." - Specific technologies (Spring MVC, ElasticSearch, DynamoDB, ASP.NET MVC, React Native, C++, Python, GPT) are embedded WITHIN their bullet points. 4. Clear Progression & Diverse Skill Application: - Internship experiences show solid software development fundamentals in different environments (Amazon, U.S. Bank). - Projects demonstrate versatility across different domains: full-stack mobile app development (FitnessPal), systems programming (CLI Replication), algorithmic trading (WUSIF Algo Trading), and AI application (Hackathon). - Shows growth through application of diverse skills and technologies in practical settings. I've been lucky enough to have mentors who have shared their resumes with me and I want to do the same for others. Find what VERIFIED resumes landed people interviews at Google, Meta, Microsoft: https://bit.ly/3HKbsOO Not every resume should look like this. I’m sharing it because this is what’s actually working in today’s job market. For me, I never had anyone share their resumes that got interviews at companies. It was always a black box. And if this post helps even one person get a foot in the door, then I’ll keep sharing.