Abdullah

Currently Locked in on the learning journey #6MonthsOfLockIn. Ml/Dl, MLops, Development, GYM, AI Engineering, System Design. In love with @porsche

[Abdullah @Abdulla_data_ai]

Manifesting spending upcoming years in San Francisco with the GOATS 🐐!!!

Affirming it!

[Abdullah @Abdulla_data_ai]

@takeUforward_ best days

[Abdullah @Abdulla_data_ai]

@TheArnabSaha @yeahmeyah Hi @TheArnabSaha can you please share the website or portals u apply on/through ?
Thanks

[Abdullah @Abdulla_data_ai]

@Rachid557918478 Yes, for me its This site cant be reached.

[Abdullah @Abdulla_data_ai]

Chatgpt down?
#chatgpt

[Praveen Kumar Verma @Alacritic_Super]

As an AI Infrastructure Engineer

Please learn:
- GPU architecture, VRAM fundamentals, CUDA & memory hierarchy
- Quantization (INT8/FP8/4-bit), batching & continuous batching
- vLLM, TensorRT-LLM, SGLang, llama.cpp & inference optimization
- KV caching, speculative decoding, prefix caching & token throughput
- Distributed training (DDP, FSDP, DeepSpeed, ZeRO)
- Model serving (Triton, vLLM, KServe, Ray Serve, SGLang)
- Kubernetes, Docker & GPU orchestration
- NCCL, InfiniBand & high-speed networking
- Multi-GPU & multi-node inference
- LoRA, QLoRA, PEFT & fine-tuning pipelines
- Vector databases, embeddings & RAG pipelines
- Prompt caching, semantic caching & cost optimization
- Observability (OpenTelemetry, Prometheus, Grafana, Langfuse, Phoenix)
- LLM evaluation, benchmarking & A/B testing
- Model routing & fallback strategies
- MCP, AI agents & workflow orchestration
- Data pipelines, Kafka & streaming inference
- Security, guardrails & prompt injection mitigation
- CI/CD for ML (MLOps), MLflow & model registries
- Linux, networking & storage fundamentals
- PyTorch internals, CUDA profiling & kernel optimization

[om mishra @BuildWithOm]

2026 Data Engineering Roadmap 📊

Stage 1: SQL
Stage 2: Python
Stage 3: Data Modeling
Stage 4: ETL Pipelines
Stage 5: PostgreSQL
Stage 6: Spark
Stage 7: Airflow
Stage 8: Data Warehousing
Stage 9: Cloud (AWS/GCP/Azure)
Stage 10: Streaming Systems
Stage 11: Data Quality + Monitoring
Stage 12: Production Pipelines

Data scientists get the spotlight.

Data engineers move the data.

[Abdullah @Abdulla_data_ai]

Best thing about using Claude is that before it starts hallucinating they simply ends the session limit.

No BS, straight turn off.

[Abdullah @Abdulla_data_ai]

I have my first ever Associate Software engineer interview scheduled in next 3 days, how do i prepare for it?
Please share material and resources.

[Abdullah @Abdulla_data_ai]

@eng_khairallah1 @eng_khairallah1 is it to be done with claude code or claude cowork?

[Abdullah @Abdulla_data_ai]

@AnshLambaJSR @AnshLambaJSR Its a request if you can please Upload a complete end to end project Of actual scenario/use case of data engineer using all data engineering tools and these AI tools, so we can walk through with actual project.
Project can be of like which we can use in portfolio.

[Abdullah @Abdulla_data_ai]

@AnshLambaJSR @Azure @MicrosoftEDU @Microsoft @AnshLambaJSR Its a request if you can please Upload a complete end to end project Of actual scenario/use case of data engineer using all data engineering tools and these AI tools, so we can walk through with actual project.
Project can be of like which we can use in portfolio.

[Microsoft Learn @MicrosoftLearn]

AI in production still follows the same IT principles:
• Least privilege
• Auditability
• Observability
• Rollback plans

[Abdullah @Abdulla_data_ai]

https://t.co/7cDE67TGmV

[Abdullah @Abdulla_data_ai]

The #AWS Bahrain outage exposed a quiet truth in tech:
We’ve built global systems on local assumptions

#AWSDown Bahrain going down showed us the gap between theory and reality.
Kubernetes won’t save you.
CI/CD won’t save you.
Only multi‑region architecture will.

More on Medium:

[Abdullah @Abdulla_data_ai]

Until and Unless you dont define your destiny
Your end goal
Your purpose

It is very hard to move blindly and just chase out there anything and everything

Sit
Talk
Explore
Find

Then stick to it and be master of it.

[Abdullah @Abdulla_data_ai]

Revised Plan for #6MonthsOfLockIn:
🎓AWS cert (Cloud Practitioner / Solutions Architect)
🐍Master Python + FastAPI & Django
🤖GenAI/AI Engineering
💻TS
💻Next.js
🚀Deepen DevOps & MLOps
🧠DSA, OOP & DBs.

Later if time allows, Automation mastery
Locked in. 🚀

[Abdullah @Abdulla_data_ai]

Life Update Lately:
Got an A in my FYP 1
Got an A in Devops Course
Survived a heavy semester
Explored new niches
Met amazing people
Started AWS cert prep
Finished Software Architecture for Large‑Scale Systems on Udemy.
Started Deep learning course on Coursera

[Abdullah @Abdulla_data_ai]

@SystemsLtd Learned About GenAI
Learned basics about RAG
Learned Basics about Langchain
Tried to understand Gitflow

[Abdullah @Abdulla_data_ai]

Life Update Lately:
Got an A in my FYP 1
Got an A in Devops Course
Survived a heavy semester
Explored new niches
Met amazing people
Started AWS cert prep
Finished Software Architecture for Large‑Scale Systems on Udemy.
Started Deep learning course on Coursera

[Abdullah @Abdulla_data_ai]

Learned to make CI/CD pipelines
Learned Docker
Attended a WorkShop @SystemsLtd and learned that how important Cloud is.
Showed at GYM 3/4 days a week

[Abdullah @Abdulla_data_ai]

At this point of time you only can learn software engineering through two ways
1)By making projects
2)By going through case studies, codebases, reading functionalities, understand existing systems and their flows.

(1)