Aman Pandey🇮🇳

AI Engineer @Magureinc contributer @_buildspace . ex-SDE intern @nucleussoftware . CSE'25
#AI and #ML engineer. Data Science Enthusiast.

[Aman Pandey🇮🇳 @lak__ky]

Excited to kick off my #100DaysOfDeepLearning journey! 🚀 Diving deep into neural networks, algorithms, and AI innovations. Any suggestions and tips are appreciated. Let's connect and make these 100 days count! #AI #MachineLearning #DeepLearning

[Aman Pandey🇮🇳 @lak__ky]

"What is meant for you will find its way, regardless of your efforts."

[Aman Pandey🇮🇳 @lak__ky]

#SystemDesign Day 1
#CAP Theorem:
In distributed systems, you can only guarantee 2 out of 3 in the presence of network failures:
#Consistency: All nodes see the same data
#Availability: Every request receives a response
#Partition Tolerance: System works despite network issues

[Aman Pandey🇮🇳 @lak__ky]

I am starting my deep dive into system design & DevOps to level up.

It's time to learn what happens after the model trains 😅.
I am excited to share what I learn along the way.

Let’s connect if you’re into AI, infra, or just building cool stuff.

#DevOps #SystemDesign #AI

[Aman Pandey🇮🇳 @lak__ky]

Math is never just numbers.

When words fail us, we use math to describe the inexpressible.

#Mathematics

[Aman Pandey🇮🇳 @lak__ky]

"The universe moves with you when you move with purpose."

[Aman Pandey🇮🇳 @lak__ky]

"RAG has revolutionized NLP by seamlessly integrating retrieval with generation. This game-changing approach not only enhances accuracy but also provides richer, context-aware responses.

I am excited to learn this new revolutionized technology

#AI #MachineLearning #RAG #NLP

[Aman Pandey🇮🇳 @lak__ky]

Day 30 of #100DaysOfDeepLearning: Learned GRUs (Gated Recurrent Units)! 🧠🤖 These powerful neural networks help tackle the vanishing gradient problem in RNNs, making them great for sequential data. Excited to see where this knowledge takes me! #DeepLearning #AI #MachineLearning

[Aman Pandey🇮🇳 @lak__ky]

Day 28 and 29 of #100DaysOfDeepLearning
Learned about Long Short-Term Memory networks! LSTMs are designed to remember long-term dependencies. The architecture of LSTM networks uses cell states and various gates (input, forget, output) to control the flow of information.
#LSTM

[Aman Pandey🇮🇳 @lak__ky]

Day 27 of #100DaysOfDeepLearning Performed Sentimental Analysis on Customer Churn Data Set using RNN! #AI #RNN #Sentimental

[Aman Pandey🇮🇳 @lak__ky]

Day 25 ans 26 of #100DaysOfDeepLearning
Learned about different types of RNNs, explored backpropagation through time in RNNs! 🧠 Learned how BPTT helps in training RNNs by unfolding them over time and updating weights based on error gradients. #AI #RNN

[Aman Pandey🇮🇳 @lak__ky]

It's been a while, but I'm excited to announce that I've joined a Bangalore-based Product-based company as an AI engineer intern! 🚀
I'm excited about the new journey!

#intern #AI #Banglore

[Aman Pandey🇮🇳 @lak__ky]

Day 24 of #100DaysOfDeepLearning: Delved into Recurrent Neural Networks (RNNs) today! 🌟 Learned how they process sequential data and their applications in time series forecasting, language modeling, and more. I'm excited to explore further! #DeepLearning #AI #MachineLearning

[Aman Pandey🇮🇳 @lak__ky]

Day 22& 23 of #100DaysOfDeepLearning: In these two days, I learned Data Augmentation Enhancing dataset with techniques like rotation and flipping. And also Learned about Pretrained Models! Models like VGG16 and ResNet. #DeepLearning #AI #MachineLearning #ResNet

[Aman Pandey🇮🇳 @lak__ky]

Day 21 of #100DaysOfDeepLearning: Today, I explored backpropagation in Convolutional Neural Networks (CNNs). Understanding how errors are minimized and weights are updated is fascinating! 🧠🔄 #DeepLearning #AI #MachineLearning

[Aman Pandey🇮🇳 @lak__ky]

Day 20 of #100DaysOfDeepLearning: Today, I dove into forward propagation in Convolutional Neural Networks (CNNs). It's fascinating to see how input data transforms through each layer! 🧠📈 #DeepLearning #AI #MachineLearning

[Aman Pandey🇮🇳 @lak__ky]

I'm having an interview tomorrow, Wish me some luck 🖤

#interview

[Aman Pandey🇮🇳 @lak__ky]

Day 19 of #100DaysOfDeepLearning: Today, I dove into the world of pooling layers in CNNs! 🌊 Learned about max pooling and average pooling, crucial for reducing spatial dimensions and improving computational efficiency. I am excited to apply this knowledge! 💡 #DeepLearning #AI

[Aman Pandey🇮🇳 @lak__ky]

@DikshaM15421687 Connect !

[Aman Pandey🇮🇳 @lak__ky]

7/7 🌟 Community-driven enhancements: Built with feedback from the AI community, YOLOv8 incorporates the latest advancements and best practices in object detection, ensuring it stays at the cutting edge. #opensource
Stay tuned as I continue to explore and experiment with #YOLOv8

[Aman Pandey🇮🇳 @lak__ky]

If you find informative let’s connect!

🧵 Thread: Exploring the Unique Features of #YOLOv8

1/7 🚀 #YOLOv8 brings significant improvements in speed and accuracy compared to previous versions. Optimized for both edge and cloud applications, it delivers superior performance. #AI

[Aman Pandey🇮🇳 @lak__ky]

6/7 ⚙️ Flexibility and ease of use: YOLOv8 provides a more user-friendly interface and streamlined API, making it easier for developers to integrate and deploy models in various applications. #AIDevelopment