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20| tech creator building products & helping startups grow DM for work / collabs

Joined January 2025
Photo by Shreyamishraa... (@shryexe)Photo by Shreyamishraa... (@shryexe)Photo by Shreyamishraa... (@shryexe)Photo by Shreyamishraa... (@shryexe)Photo by Shreyamishraa... (@shryexe)Photo by Shreyamishraa... (@shryexe)Photo by Shreyamishraa... (@shryexe)Photo by Shreyamishraa... (@shryexe)
Hey guys!! if you are in tech, let's connect 👋🏻
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11/90 Days of Placement Preparation - Practiced SQL queries on Joins and Subqueries. - Learned about Functional Dependencies in DBMS. - learned Anomalies in DBMS (Insertion, Update and Deletion).
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Got my 4th sem results… PASSED! 😭
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Are we really paying for convenience or just getting used to expensive developer tools? What's one tool you replaced with a cheaper alternative and never looked back?
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Guysss tell me a tier 3 college friendly minor project topic. i've presentation tmrw and haven't done sh*t.
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10/90 Days of Placement Preparation - Practiced SQL queries using WHERE, GROUP BY and HAVING. - Learned about Views and their types in DBMS. - Revised Subqueries with practical examples.
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Only this view can heal me....!!
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Research papers every aspiring AI Engineer should know: 1. Attention Is All You Need — Transformers 2. BERT — Bidirectional Language Understanding 3. GPT — Generative Pre-trained Transformers 4. LoRA — Low-Rank Adaptation 5. CLIP — Connecting Text and Images 6. RAG — Retrieval-Augmented Generation 7. ViT — Vision Transformers 8. DDPM — Denoising Diffusion Probabilistic Models 9. VAE — Variational Autoencoders 10. GANs — Generative Adversarial Networks Bookmark this. You'll thank yourself later.
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I’m so confused now. Am I supposed to use Fable 5.2 or Opus 5.5? And on medium or max effort?
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10 AI tools every developer should explore in 2026: 1. Claude Code 2. Cursor 3. GitHub Copilot 4. Windsurf 5. v0 6. Lovable 7. LangChain 8. LangGraph 9. n8n 10. Ollama AI isn't replacing the need to understand software engineering. It's changing how we build it. Which one do you use the most?
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Never thought it is that simple
Just copy and paste the link. It’s quite easy
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9/90 day of Placement Preparation - Studied the ER Model in DBMS. - Learned about different types of attributes. - Revised Cardinality and Participation Constraints.
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What’s the shortest domain you own?
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What actually happens when you hit an API endpoint? A typical backend request lifecycle: 1. Client sends an HTTP request. 2. Server receives the request. 3. Middleware validates authentication and permissions. 4. Controller handles the incoming request. 5. Service executes business logic. 6. Database performs the required operation. 7. Server sends an HTTP response. Understanding this lifecycle makes debugging much easier. Writing an API is easy. Understanding everything happening behind it is what makes you a better backend developer.
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Are MCP servers actually becoming a must-have in AI development, or are we just overcomplicating simple workflows? Would love to hear what you're building with MCP.
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8/9 day of Placement Preparation -Learned different types of keys in DBMS. - Studied Database Normalization (1NF, 2NF, 3NF). - Learned about Indexing and different types of indexes.
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Jensen Huang believes Chinese AI models are impressive. With DeepSeek, Kimi and GLM gaining attention, do you think China could become a serious competitor to the US in the AI race?
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