Sesha

Software Developer | 🚀 Building in AWS, PHP , Python & TypeScript | 💡 Sharing daily tech + leadership tips

[Sesha @seshaCS]

AI only multiplies what you already know.

If your knowledge is 0, even a 100x multiplier gives you 0.

Don’t focus only on AI.
Focus on becoming exceptional at your craft first.

AI amplifies expertise, it doesn’t replace it.

#AI #factsmatters

[Sesha @seshaCS]

Congratulations RCB on yet another championship! 🏆🏆

Winning once is special, but winning twice proves consistency, resilience, and excellence. A proud moment for the team and the loyal fans.
Here’s to many more victories ahead! ❤️

#RCB #Champions

[Sesha @seshaCS]

Congratulations RCB on yet another championship! 🏆🏆

Winning once is special, but winning twice proves consistency, resilience, and excellence. A proud moment for the team and the loyal fans.
Here’s to many more victories ahead! ❤️

#RCB #Champions

[Suraj Sharma @suraj_sharma14]

If I had 6 months to become an AI/ML Engineer.

I'd do this.

Stage 1 : Python + Data Engineering
pandas, numpy, SQL, Parquet/Arrow, API ingestion, data validation, pipeline orchestration.

Stage 2 : ML Fundamentals + Statistics
Linear algebra, probability, bias/variance, supervised/unsupervised learning, evaluation metrics.

Stage 3 : Deep Learning + Frameworks
PyTorch, training loops, backprop, CNNs/Transformers, optimizers, learning rate schedulers.

Stage 4 : Feature Stores + Pipelines
Feature engineering, preprocessing, data versioning, DVC, Airflow/Prefect, dbt integration.

Stage 5 : Experiment Tracking + Tuning
MLflow/Weights & Biases, hyperparameter optimization, cross-validation, reproducibility, model registry.

Stage 6 : Model Deployment + Serving
FastAPI, Docker, model registries, batch vs real-time inference, REST/gRPC endpoints, scaling.

Stage 7 : LLM Integration + GenAI
RAG pipelines, fine-tuning (LoRA/QLoRA), prompt engineering, embedding models, vector databases.

Stage 8 : MLOps + CI/CD
GitHub Actions, automated testing, model validation gates, continuous training, deployment strategies.

Stage 9 : Monitoring + Drift Detection
Data/concept drift, performance metrics, structured logging, alerting, automated retraining triggers.

Stage 10 : Infrastructure + Cloud Scale
AWS/GCP ML stacks, distributed training, GPU orchestration, Kubernetes, autoscaling, cost tracking.

Stage 11 : Open Source + Portfolio
Ship end-to-end ML systems publicly, write architecture docs, record demos, publish benchmarks.

Stage 12 : Apply
AI/ML Engineer, MLOps Engineer, AI Infrastructure Engineer, Data Science Engineering roles.

Most people stay stuck watching tutorials.

Builders get hired.

[Sesha @seshaCS]

@PrakazVijay_Of Show this attitude on the work!!

[Sesha @seshaCS]

Congratulations Vijay Anna on becoming the CM of TN.

The expectations from the common people are very high, and we are looking forward to seeing positive change, development and growth.

Best wishes for a successful and people focused leadership journey ahead.

@TVKVijayHQ

[Sesha @seshaCS]

@thecamgreen Where are you coming from man?
You can only find this kind of reasons..

[Sesha @seshaCS]

@svpino I thought it’s only for me!!

[Sesha @seshaCS]

@shekhu04 Yeah 200%😂

[Sesha @seshaCS]

@akshaymarch7 Others don’t need to worry because they are fully convinced about the code.

[Sesha @seshaCS]

@akshaymarch7 Well Said Akshay!!!

Only real developers will experience this:

** Sometimes AI gives something that looks perfect, but deep down I’m not fully convinced.
And then you spend time untangling it.
**

[Sesha @seshaCS]

AI can answer technical questions instantly.

But technical blogs still matter.

AI explains concepts.
Blogs share real experience, mistakes, and lessons from building real systems.

That knowledge helps developers grow faster.
#AI

[Sesha @seshaCS]

@_jaydeepkarale Great question, it’s not just about the servers. There are lot to take in to consideration like DB, cache, performance, memory, etc

[Sesha @seshaCS]

AI bots solve problems.

Humans solve experiences.

Customer support shouldn’t be AI vs Humans.

It should be AI for scale + Humans for empathy
#AI #chatbot #ivr

[Sesha @seshaCS]

Ask a tea stall owner if their tea is good.
They’ll say it’s the best.
Ask about their future.
They’ll say they’ll build a franchise.

Same with AI companies saying engineers won’t be needed

AI can accelerate creativity.
But innovation still starts with humans

#AI #Engineering

[Sesha @seshaCS]

I used to think SOLID was just interview theory.

Then I worked on larger systems.

That’s when I understood — SOLID isn’t about rules.
It’s about surviving change without breaking everything.

Wrote a practical take on SOLID in Python 👇
https://t.co/DItDFrv751

#Python #OOP

[Sesha @seshaCS]

AI is a leverage “Only if you have judgment”

AI can generate code at incredible speed.
But speed without direction creates noise, not systems.

https://t.co/RFjtW03Zof

#Developers #Architecture #TechLeadership

[Sesha @seshaCS]

@AshishSinghKiJi -10

[Sesha @seshaCS]

@denicmarko More than 20 positions are open in their website

[Sesha @seshaCS]

@Vijaykarthikeyn Happy birthday Vijay Sir!!