Hello, I'm Ambuj Kumar Tripathi

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Self-taught AI/ML Engineer & Prompt Engineering Expert. Ex-Telecom, LLM Enthusiast, putting GenAI to real-world use.
Building AI-powered bots and scalable solutions in LLM, RAG, LangChain tech stacks.

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About Me

As a transitioner from Telecom to AI/ML Solutions Architect, my journey reflects relentless self-learning, pragmatic AI integrations and hands-on deployment of LLMs in production. Known for building open-source projects, scalable chatbots, and functional agentic bots.
#Prompt Engineering #OpenRouter #GenAI #RAG

Always exploring: Real-world AI apps, LangChain, Llama, WatsonX, Gemini API, advanced automations. My portfolio bridges "AI for business" and technical experimenter's playground.
Open to AI, Prompt Engg, Chatbot Dev roles globally (remote/onsite).

AI & Code: The Trust But Verify Approach

By Ambuj Kumar Tripathi

The New Reality of Coding
We're living in exciting times! AI has moved from being just another tool to becoming our actual coding partner. But here's the thing – with great power comes great responsibility.The magic is real: Modern AI can write complex algorithms, solve tricky problems, and generate working code faster than ever. But the question isn't just "Does it work?" – it's "Is it actually good?"

The Hidden Challenges🔒 Security Blind Spots Recent research reveals something shocking: 60-70% of security issues in AI-generated code are BLOCKER level – the most critical kind. That's not occasional mistakes; that's a pattern we need to address.🧹 The Technical Debt Problem AI loves to write "quick and dirty" code. Sure, it works today, but 90% of AI code comes with structural issues that'll bite you later. Think of it as borrowing from your future self.

Every AI Has Its PersonalityJust like developers, each AI model has its own style:Some are security-focused but slowerOthers prioritize speed but create messy codeEach has strengths and blind spotsThe key? Understanding who you're working with and adapting accordingly.

My "Trust But Verify" PhilosophyHere's how I've learned to work with AI effectively:✅ Trust: Let AI handle the heavy lifting, generate drafts, solve complex problems
🔍 Verify: Always review, test, and refine. Check for:

Security vulnerabilities
Code quality issues
Long-term maintainability
Performance implications

The Bottom LineAI isn't replacing developers – it's making us better architects, reviewers, and problem-solvers. The future belongs to developers who can harness AI's speed while maintaining human judgment and quality standards.This isn't about limiting innovation. It's about innovating responsibly.

Want to discuss AI-assisted development strategies? Let's connect and explore how we can build better software together

AI-Accelerated Development Process