#Software Development Career Path

👇🏼Comment “ROCKET” and I’ll send you my full guide to building any app. Build a profitable SaaS in 5 steps. No coding required. Use ChatGPT + Rocket to generate your app, iterate in chat, connect tools like Stripe, Resend, and Supabase, then publish live in minutes. #saas #nocode #aidevelopment #startup #rocket

Day in the life of app developer 👨🏻‍💻 . . . #appdeveloper #flutterdeveloper #appdesign #iosdeveloper #softwareengineer

Here’s a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you. Step 1 – Learn Python and SQL (not Java, C++, or JavaScript). → Focus on pandas, numpy, scikit-learn, matplotlib → For SQL: use LeetCode or StrataScratch to practice real-world queries → Don’t just write code—learn to think in data Step 2 – Build your foundation in statistics + math. → Start with Practical Statistics for Data Scientists → Learn: probability, hypothesis testing, confidence intervals, distributions → Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule) Step 3 – Learn ML the right way. → Do Andrew Ng’s ML course (Deeplearning.ai) → Master the full pipeline: cleaning → feature engineering → modeling → evaluation → Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper Step 4 – Build 2–3 real, messy projects. → Don’t follow toy tutorials → Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio → Upload everything to GitHub with a clear README Step 5 – Become a storyteller with data. → Read Storytelling with Data by Cole Knaflic → Learn to explain your findings to non-technical teams → Practice communicating precision/recall/F1 in simple language Step 6 – Stay current. Never stop learning. → Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn → Join communities, follow researchers, and keep shipping new experiments ------- Save this for later. Tag a friend who’s trying to make the switch. [software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]

How much does a SOFTWARE DEVELOPER make? #viral #reels #techjobsin2minutes #amazon

Full-stack projects Coding project 2025 💻 In this video, I’m sharing five complete full-stack projects that I’ve personally built — including an e-commerce store, admin dashboard, SaaS web app, chat application, and more. These projects are worth over $20,000, but I’m giving them away completely free. You can use them to enhance your resume, learn real-world full-stack development, or customize and sell them to your clients. These projects are perfect for web developers and software or app developers. This is hidden gem for coder and programmers. #webdevelopment #coding #html #css #javascript #java #python #pythonprogramming #pythoncode

What do software engineers actually do? #coding #softwareengineer #softwaredeveloper #swe #cs #computerscience #bigtech #techjobs #faang

I'm Anu, I'm a Software Engineer at Google, If I had to start preparing for Google in 2025, Here’s the roadmap I would follow: ☑️ Timeline: → 3 months on DSA + System Design → 3 months on full-stack projects + DevOps + GenAI → 4–5 hours a day is more than enough if you stay consistent. 1️⃣ Pick one language: Java, C++, or Python — choose one and master it. 2️⃣ Learn DSA & System Design: Focus on graphs, trees, recursion, and DP. Read engineering blogs to understand real-world system design. 3️⃣ Master Full Stack Development (MERN Stack): Build projects that cover both frontend and backend (client and server side). Learn how real systems work end-to-end. 4️⃣ Understand DevOps: Learn CI/CD, testing, deployment, and how software is shipped. 5️⃣ Explore Generative AI: Learn how to use APIs from OpenAI, Gemini, Claude, etc., and build projects that integrate these tools. 6️⃣ Mock interviews: Once you’ve covered the basics, start mock interviews (technical + HR) with engineers from Google or your target companies who can give you honest, practical feedback. This journey won’t be easy, and you might face technical roadblocks, time management issues, or self-doubt. So, don’t hesitate to connect with senior SDEs, they’ll help you stay on track and get placed at your dream company. 💯 All the best! If you’ve reached here, follow @its.anu.sharma for more such content. I help you to crack big tech. [software, coder, developer, google, hiring, interviews, tips, personal, story, experience, algorithms, cs students, computer science] #SoftwareEngineer #TechJourney #CodingLife #GoogleIntern #CSFundamentals #FullStackDeveloper #CodingContests #TechInterviews #WomenInTech #CareerTips

I took the leap of faith trying out a new industry, and I can tell you… It was so worth it. Stay ahead with the latest and most in demand job right now - the ‘AI engineer’, by following this roadmap. Check the post before this for the free courses for each step! 🚀

How to start with Web Development? 2023 #coding #development #webdevelopment #coding #programming

5 Levels to become a FAANG Software Engineer 🤑💰 #swe #tech #software #fyp

Back to my projects today after almost two days away. I started working on a new user authentication API for the apps I’m building and also spent some time on design work. Stepping away for a bit really helps bring fresh focus when coming back. Do you also notice better clarity after taking short breaks? #developerlife #programming #coding #codinglife #appdevelopment

What Software Engineers ACTUALLY Do In Company Comment " Link " to get detailed video Link in your DMs✨ Follow us for more such videos @lastmomenttuition ❤️😃 #softwareengineer #softwaredeveloper #softwareengineering #engineers #educationreels #sumersinghshow #lastmomenttuition Want more videos like this?