#Application Engineer

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! 🚀

It wasn’t as easy as it seems in this video. I had ups and downs, but mostly I knew that I have to use this opportunity! Being an Engineer in a tech company is exciting and challenging. You can learn a lot, if you listen carefully:) Today I published a Software Engineering Guide, that will help you to learn coding, build projects and land your first dev job! I explained the exact roadmap how I self-study and all the tips I used. You can find the guide in bio! Enjoy 😉 ——- #softwarengineer #learntocode #100daysofcode #programmingtips

Your first day as software engineer #it #softwre_dev #1337

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

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

first day as a software engineer at pinterest 📌

how I became a software engineer and why being into so many things is cool 😼 embrace it 🤍 los quiero baiiiii x . . #programming #womenintech #programacion #coder #programacao #latinasintech #swe #compsci #wfh #softwareengineer

After almost 7 years of coding, working at big tech companies like Amazon and Autodesk, I finally figured out how to land big tech jobs in 2025... Here’s everything I would do so you can copy me 🧑‍💻 Comment “massive” for the AI tool I used to apply to 100s of software engineering jobs for me every day 💪 #coding #codingforbeginners #learntocode #techjobs #computerscience #softwareengineer #usemassive

iOS or Android? 📲 and what’s the best part about Mobile App Development? Let’s find out more about that today, with @dan.mobile.dev Today’s topics: 1. Pivoting from a Backend Software Engineer role at HP to Mobile Development. 2. Advice for junior engineers who are just starting out. 3. iOS or Android? ✨ Bonus: CES vibes in the background. What’s your choice, iOS or Android? Comment below 👇 ~~~~~~~~~~~ Follow @madeline.m.zhang for software engineering insights + coding memes Follow @dan.mobile.dev for app development content + occassional dev humour ~~~~~~~~~~~ 🏷️ #programming #softwareengineering #iosdevelopment #androiddevelopment #developers #softwaredevelopment #developerlife #ios #android #codinglife

How much does a APPLICATION SUPPORT ENGINEER make? #viral #reels #techjobsin2minutes #amazon

Software engineering is all about data! Make sure to follow @webbyvaris for more! You fetch it, store it, process it, and display it. But the real question is—what do you want to build? • Frontend? Craft stunning UI/UX with React, Vue, or Flutter. • Backend? Manage logic, databases, and APIs with Node.js, Python, or NET. • Full Stack? Handle both ends like a pro. • Mobile Apps? Develop iOS/Android apps with Swift, Kotlin, or React Native. • Game Dev? Bring ideas to life with Unity or Unreal Engine. Every developer needs to decide - mobile, web, or something else... What’s your path? Follow @webbyvaris for dev contnet #tech #softwaredevelopment #fullstackdeveloper #techskills #webdevelopment #programmer #codinglife #devlife #computerscience

🚀 How to Become an AI Engineer in 2026 👩🏻‍💻Save for later Step-by-step Roadmap 🔹 PHASE 1: Foundations (0–3 Months) Don’t skip this. Weak foundations = stuck later. 1️⃣ Programming (Must-Have) Python: loops, functions, OOP Libraries: NumPy, Pandas, Matplotlib / Seaborn 📌 Practice daily: LeetCode (easy) HackerRank (Python) 2️⃣ Math for AI (Enough, not PhD level) Focus only on: Linear Algebra (vectors, matrices) Probability & Statistics Basic Calculus (idea of gradients) 📌 Conceptual understanding is enough — no heavy theory. 🔹 PHASE 2: Machine Learning (3–6 Months) Learn: Supervised & Unsupervised Learning Feature Engineering Model Evaluation Algorithms: Linear & Logistic Regression KNN Decision Trees Random Forest SVM K-Means Tools: Scikit-learn 📌 Project Ideas: House price prediction Student performance prediction Credit risk model 🔹 PHASE 3: Deep Learning & AI (6–10 Months) Learn: Neural Networks & Backpropagation CNN (Images) RNN / LSTM (Text) Transformers (Basics) Frameworks: TensorFlow or PyTorch (choose ONE) 📌 Project Ideas: Face mask detection Image classifier Spam email detector Basic chatbot 🔹 PHASE 4: Modern AI (2025–2026) 🔥 This is where the JOBS are coming from. Learn: Generative AI Large Language Models (LLMs) Prompt Engineering RAG (Retrieval-Augmented Generation) Fine-tuning models Tools: OpenAI API Hugging Face LangChain Vector Databases (FAISS / Pinecone) 📌 Project Ideas: AI PDF Chat App Resume Analyzer AI Study Assistant AI Customer Support Bot 🔹 PHASE 5: MLOps & Deployment (CRITICAL) Learn: Git & GitHub Docker (basics) FastAPI / Flask Cloud basics (AWS or GCP) Deploy: ML models as APIs AI apps on the cloud 📌 Recruiters LOVE deployed projects. . . . #datascientist #aiengineer #codinglife #softwaredeveloper #programming