Dynamic Web Magic with Next.js

Transforming Concepts into Seamless User Experiences

Hi! I'm Pradhyum Yadav, a Full Stack Developer | Machine Learning Engineer based in UK.

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Innovative MSc Computer Science student with a passion for building scalable web applications and implementing cutting-edge machine learning models.
I prioritize client collaboration, fostering open communication
I'm flexible with time zone communications
I constantly try to improve
My tech stack
MERNJavaPythonGoRustR
PostgreSQLTensorflowPytorchHugging Face
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Tech enthusiast with a passion for Full Stack Development and Machine Learning
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The Inside Scoop
Currently building a JS Animation library
Do you want to start a project together?

A small selection of recent projects

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🚀AlexTrip

A dynamic trip management platform built with Java EE and MVC architecture. Integrated ML for revenue forecasting and deployed on Heroku.

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🩻 Machine Learning for Pneumonia Detection from Chest X-rays

A comprehensive machine learning project focused on developing advanced pneumonia detection models using chest X-ray images. The project leverages four sophisticated machine learning models (EfficientNetB0, VGG16, Random Forest, and XGBoost) to create a robust diagnostic tool. By analysing 5,856 chest X-ray images, the project aims to enhance medical image classification accuracy, potentially reducing healthcare professionals' diagnostic workload and improving patient outcomes.

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🔒Federated Learning for ICU Outcomes

Developed a federated learning model using MIMIC-III dataset, achieving ~95% accuracy. Implemented secure aggregation and differential privacy for GDPR/HIPAA compliance.

Kind words from satisfied clients

  • Pradhyum is an exceptional developer who consistently delivers high-quality work. His ability to integrate machine learning into web applications greatly enhanced our project outcomes. His dedication and technical expertise make him a valuable asset to any team.
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    Sarah ThompsonProject Manager at J.P. Morgan
  • Working with Pradhyum on the Customer Satisfaction Prediction project was a game changer. His deep understanding of machine learning algorithms and data processing allowed us to achieve impressive accuracy rates. His contributions significantly improved our analytical capabilities.
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    Anuja TalekarAssistant Professor, Coventry University, Coventry, UK
  • Pradhyum's skills in full-stack development are remarkable. He played a crucial role in building the AlexTrip platform, implementing robust features with seamless user experience. His proactive approach and problem-solving mindset were key to our success.
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    Michael LeeSenior Software Engineer at British Airways
  • I had the pleasure of collaborating with Pradhyum during our federated learning project. His ability to balance privacy concerns with model accuracy was impressive. He is not only technically proficient but also a great team player who communicates effectively.
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    Jessica PatelResearch Associate at Coventry University
  • Pradhyum is a highly motivated individual with a passion for technology and innovation. His work ethic and attention to detail are commendable. I am confident that he will excel in any role he pursues in software engineering or machine learning.
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    David BrownMentor and Industry Expert
Hugging FaceHugging Face
MERNMERN
BARDBARD
TensorflowTensorflow
DockerDocker

My work experience

My approach

Discovery & Analysis

I begin by thoroughly understanding the project requirements, target users, and business objectives. Leveraging my expertise in Python, Java, and JavaScript, I analyze the technical feasibility and identify the most suitable technologies for the project. We'll collaborate to define key functionalities, data requirements, and performance metrics.

Architecture & Planning

Drawing from my experience with MERN stack, Java EE, and various ML frameworks, I design a robust system architecture. I create a detailed project roadmap, breaking it down into manageable sprints. We'll discuss database choices (PostgreSQL, MongoDB), API designs, and integration of ML models where applicable.

Agile Development & Iteration

With my Agile and Scrum background, I implement features in short, focused sprints. I use test-driven development to ensure over 90% code coverage. For ML projects, I apply my knowledge of TensorFlow, Keras, and PyTorch to develop and fine-tune models. Regular code reviews and continuous integration using tools like Git and Jenkins keep the project on track. Throughout the process, I maintain open communication, providing frequent updates on progress and addressing any challenges promptly. My goal is to deliver a high-quality, scalable solution that meets your specific needs and exceeds expectations.