793.8K
TEHow much does a SOFTWARE DEVELOPER make? #viral #reels #techjobsin2minutes #amazon
@techjobsin2
#Software Developer Career Path
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SHI started my career as a Software Engineer at Microsoft, working on a PaaS product on Azure. Solid engineering work, but I always knew I wanted to move closer to AI.
When I transitioned into working on an AI-agent based product in Copilot Studio, it wasn’t overnight or accidental.
I went back to the basics! Revised Python and ML fundamentals… then steadily built depth in GenAI: prompt engineering, embeddings, RAG, vector stores, and hands-on integrations with different LLMs.
I explored agent frameworks like LangChain and Semantic Kernel, and experimented with SmolAgents, CrewAI, and Bot Framework to understand different agent architectures and patterns.
Alongside this, I built small real-world projects like chatbots, retrieval systems, and automations… to see how these systems actually behave beyond demos.
I also focused on production-ready thinking: logging, monitoring, prompt versioning, and Responsible AI, because agents don’t live in notebooks… they run in real systems.
What made the transition effective wasn’t starting from scratch, but mapping my SWE experience to AI impact… using agents to automate workflows, improve search, reduce manual effort, and scale decision-making.
This isn’t a story about cracking interviews or having a PhD in AI. It’s about being consistent, practical, and curious while already being a software engineer.
I’ve put together a 6-month AI Engineer roadmap that you can follow (for both students and working professionals)
Comment “AI” and I’ll share the complete roadmap with you 📩
[ AI Engineer, AI Engineer Roadmap, Software developer, Software Engineer, Engineering, Microsoft, Story of my life, Career advice, Mentoring, Career guidance ]
#AI #Roadmap #Microsoft #SoftwareEngineer #Corporate
@shivanjaliverse
591.1K
SWThe Top Tech Jobs in 2026 aren’t just about coding they’re about solving real-world problems with intelligence, creativity, and adaptability.
Whether you’re a fresher stepping into the tech world or a working professional looking to upgrade, these roles are expected to stay in high demand with high pay as companies continue to invest in AI, Cloud, Cybersecurity, and Data.
What makes these roles powerful?
• Skills > Degrees
• Problem Solving > Theory
• Adaptability > Experience
If you start building the right skillset now the future is yours.
Remember: Consistency beats talent when talent isn’t consistent.
Follow @swatijha_123 for more career & tech insights.
Keywords / Phrases:
Top tech careers 2026, high salary jobs for freshers, in-demand IT roles, cloud computing careers, data analyst roadmap, AI engineer future scope, cybersecurity growth, full stack developer opportunities, machine learning jobs, tech career guide, tech industry salaries, how to upskill in tech, software engineer pathway, tech jobs without degree, future of IT jobs
#TechJobs #CareerGrowth #ITCareers #JobsForFreshers #WorkingProfessionals #PlacementPrep #DataScience #AIEngineer #CloudComputing #CyberSecurity #FullStackDeveloper #TechIndustry #CareerAdvice #FutureJobs #2026Ready
@swatijha_123
5.7M
ITI'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
@its.anu.sharma
14.3K
HOSoftware Developer Part 47 🩷
#collegelife #college #collegelifestyle #collegefriends #instagram reelitfeelit❤️❤️ reelsinstagram creators contentcreator collegememe collegestudent backbenchers varshadsouza tejindia varshadsouza❤️instaview reelviews reelitfeelit boostmyreels growoninstağram reachmorepeople digitalmonarch 1millionviews😍♥️
@honey_series_143
1.1M
THHere’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]
@the.datascience.gal
93.7K
SWWhat do software engineers actually do? #coding #softwareengineer #softwaredeveloper #swe #cs #computerscience #bigtech #techjobs #faang
@swerikcodes
50.5K
POHow to become Software Engineer in India? 🧑💻
Welcome to Episode 5 of Career Compass with Poorva! 👩💻🧭 In each episode, I’ll be breaking down one career to help you navigate your way to success.
Dreaming of a career in software engineering? 🌟 Follow these steps to turn your passion into a profession! 💻✨
✨Choose the Right Subjects in School: Focus on Mathematics and Computer Science.
✨Earn a Bachelor’s Degree: Pursue B.Tech/B.E. in Computer Science or related fields.
✨Develop Practical Skills: Learn coding languages like Python, Java, and C++.
✨Gain Experience: Work on projects, internships, and participate in hackathons.
✨Build a Strong Portfolio: Showcase your work on platforms like GitHub.
✨Continuous Learning: Stay updated with new technologies and take online courses.
✨Apply for Jobs: Start with internships, entry-level jobs, or freelancing.
Follow @poorvaachoudharyy for more helpful content! 🚀
#jee #iit #nit #engineering #softwaredeveloper #studygram #google #amazon #netflix #coding #programming #datascience #softwareengineer #career #careerdevelopment #tech #India
@poorvaachoudharyy
1.7M
NAFreshers always ask:
“Which role is best for me?”
The real question is:
What are YOU naturally good at?
Your strength decides your future role.
⸻
💻 If you enjoy CODING & LOGIC
Software Developer / QA Automation
You’ll build features, fix bugs, and create systems.
Best for people who love problem-solving, logic, and coding daily.
⸻
🗣️ If you’re good at COMMUNICATION
Business Analyst / IT Recruiter / Product Manager
You’ll talk to clients, understand requirements, and convert ideas into solutions.
Best for people who enjoy meetings, presentations, and explaining things clearly.
⸻
🎨 If you’re CREATIVE & VISUAL
UI/UX Designer / Product Designer
You’ll design apps, websites, and user experiences.
Best for people who enjoy design, Figma, layouts, and thinking from the user’s POV.
⸻
📊 If you like DATA & PATTERNS
Data Analyst / Operations Analyst / BI Analyst
You’ll work with Excel, Power BI, dashboards, and reports.
Best for people who love numbers, trends, and data-driven decisions.
⸻
🔐 If you like SECURITY & SYSTEMS
Cybersecurity Analyst / SOC / IAM / Cloud Security
You’ll protect systems, monitor threats, and secure access.
Best for people who enjoy investigation, rules, and digital safety.
⸻
🛠️ If you like TROUBLESHOOTING
Technical Support / Cloud Support / System Admin
You’ll fix issues, help users, and maintain systems.
Best for people who enjoy solving problems and helping others.
⸻
📅 If you like PLANNING & COORDINATION
IT Project Manager / Scrum Master
You’ll manage timelines, teams, and deliveries.
Best for people who enjoy organizing, leadership, and responsibility.
⸻
✍️ If you like WRITING & EXPLAINING
Technical Writer / Documentation Specialist
You’ll create guides, manuals, and help content.
Best for people who love clarity, structure, and teaching through writing.
⸻
You don’t need to follow the crowd.
You need to follow your strength.
👇 Comment your strength:
Code / Talk / Design / Data / Security / Support
📌 Save this for career planning
🔁 Share with a confused fresher
#fresher #reelkarofeelkaro #reelitfeelit #career #job
@nandan_.rajput
1.3M
ARI 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! 🚀
@arkie.develops
837.6K
SWIf I was a beginner learning to code, I would use this 90 day roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #computerscience #programming
@swerikcodes
479.0K
IRFull-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
@iron.coding
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