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Lead Engineer | Node.js, Python | Designing Scalable, Cloud-Native Solution

Rajnesh Thakur – AI & Technology Enthusiast

Lead Engineer | Node.js, Python | Designing Scalable, Cloud-Native Solution

Rajnesh Thakur – AI & Technology Enthusiast

More About Me

I have 11+ years of experience in designing, developing, and optimizing high-performance software solutions. Adept at building scalable applications, solving complex technical challenges, and driving innovation through modern development practices.

Expertise in JavaScript | NodeJS | AWS, with a strong background in software architecture, cloud computing, and DevOps. Experienced in leading teams, mentoring junior developers, and collaborating cross-functionally to deliver impactful products.

Committed to continuous learning and staying ahead of industry trends, I thrive in dynamic environments where I can create efficient, maintainable, and future-proof solutions. Always excited to tackle new challenges and drive technological excellence.

Skills & Expertise

✅ Software Development & Architecture
✅ Backend Development

✅ JavaScript | NodeJS)
✅ Cloud Computing (AWS)
✅ Microservices & API Development
✅ DevOps & CI/CD Pipelines
✅ Agile & Scrum Methodologies
✅ System Optimization

✅ Performance Tuning
✅ Team Leadership & Mentorship

AI Learning in Action

Build a 2-layer neural network

https://github.com/rajnesh108/neural_network_scratch/blob/main/working%20files/two_layer.ipynb

Exponential Functions

Build a 2-layer neural network

https://github.com/rajnesh108/neural_network_scratch/blob/main/working%20files/exponential_functions.ipynb

Backpropagation

Build a 2-layer neural network

Backpropagation

https://github.com/rajnesh108/neural_network_scratch/blob/main/working%20files/backpropagation.ipynb

Adam optimizer

Class-based OOP structure, Dropout layer, L2 regularization

Backpropagation

https://github.com/rajnesh108/neural_network_scratch/blob/main/working%20files/adam_optimizer.ipynb

Class-based OOP structure, Dropout layer, L2 regularization

https://github.com/rajnesh108/neural_network_scratch/blob/main/working%20files/oops_dropout_L2.ipynb

Neuromorphic Computing

Spiking Neuron

Synapses and Weights in Spiking Neural Networks (SNNs)

Spiking Neuron

https://github.com/rajnesh108/neural_network_scratch/blob/main/neuromorphic_computing/spiking%20_neurons.ipynb

Spike Train

Synapses and Weights in Spiking Neural Networks (SNNs)

Spiking Neuron

https://github.com/rajnesh108/neural_network_scratch/blob/main/neuromorphic_computing/spike_train.ipynb

Synapses and Weights in Spiking Neural Networks (SNNs)

https://github.com/rajnesh108/neural_network_scratch/blob/main/neuromorphic_computing/%20synapses_weights.ipynb

20 Neuron Spiking

STDP Learning Rule

Synapses and Weights in Spiking Neural Networks (SNNs)

https://github.com/rajnesh108/neural_network_scratch/blob/main/neuromorphic_computing/20_neuron_spiking.ipynb

STDP Learning Rule

https://github.com/rajnesh108/neural_network_scratch/blob/main/neuromorphic_computing/STDP_learning_rule.ipynb

Lead Engineer | Node.js, Python | Designing Scalable, Cloud-Native Solution

Lead Engineer | Node.js, Python | Designing Scalable, Cloud-Native Solution

About Me

“Keep learning, keep building, and let innovation shape the future.” 🚀

More About Me

Skills & Expertise

AI Learning in Action

Build a 2-layer neural network

Build a 2-layer neural network

Build a 2-layer neural network

Exponential Functions

Build a 2-layer neural network

Build a 2-layer neural network

Backpropagation

Build a 2-layer neural network

Backpropagation

Adam optimizer

Class-based OOP structure, Dropout layer, L2 regularization

Backpropagation

Class-based OOP structure, Dropout layer, L2 regularization

Class-based OOP structure, Dropout layer, L2 regularization

Class-based OOP structure, Dropout layer, L2 regularization

Neuromorphic Computing

Spiking Neuron

Synapses and Weights in Spiking Neural Networks (SNNs)

Spiking Neuron

Spike Train

Synapses and Weights in Spiking Neural Networks (SNNs)

Spiking Neuron

Synapses and Weights in Spiking Neural Networks (SNNs)

Synapses and Weights in Spiking Neural Networks (SNNs)

Synapses and Weights in Spiking Neural Networks (SNNs)

20 Neuron Spiking

STDP Learning Rule

Synapses and Weights in Spiking Neural Networks (SNNs)

STDP Learning Rule

STDP Learning Rule

STDP Learning Rule

Get in Touch

Lead Engineer | Node.js, Python | Designing Scalable, Cloud-Native Solution

Lead Engineer | Node.js, Python | Designing Scalable, Cloud-Native Solution

About Me

“Keep learning, keep building, and let innovation shape the future.” 🚀

More About Me

Skills & Expertise

AI Learning in Action

Build a 2-layer neural network

Build a 2-layer neural network

Build a 2-layer neural network

Exponential Functions

Build a 2-layer neural network

Build a 2-layer neural network

Backpropagation

Build a 2-layer neural network

Backpropagation

Adam optimizer

Class-based OOP structure, Dropout layer, L2 regularization

Backpropagation

Class-based OOP structure, Dropout layer, L2 regularization

Class-based OOP structure, Dropout layer, L2 regularization

Class-based OOP structure, Dropout layer, L2 regularization

Neuromorphic Computing

Spiking Neuron

Synapses and Weights in Spiking Neural Networks (SNNs)

Spiking Neuron

Spike Train

Synapses and Weights in Spiking Neural Networks (SNNs)

Spiking Neuron

Synapses and Weights in Spiking Neural Networks (SNNs)

Synapses and Weights in Spiking Neural Networks (SNNs)

Synapses and Weights in Spiking Neural Networks (SNNs)

20 Neuron Spiking

STDP Learning Rule

Synapses and Weights in Spiking Neural Networks (SNNs)

STDP Learning Rule

STDP Learning Rule

STDP Learning Rule

Get in Touch

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