Pradeep Kumar Yadav — Senior Full-Stack & AI Engineer

Ibuildintelligent,scalable,cloud-nativesystems.

AI/ML and full-stack engineer turning real business problems into production software — from model to AI agent to endpoint to interface.

Pradeep Kumar Yadav

Jaipur, India

— · local time

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Selected Work

Softwares, shipped end to end.

Recommendation and forecasting engines, real-time computer vision, AI agents and full-stack platforms — each taken from problem statement to production.

About

Jaipur, India · Available for contract & freelance work

Every piece of software tells the story of the engineer who built it.

AI/ML and Full-Stack Engineer with 5 years of experience building intelligent, scalable, and cloud-native applications. Proven expertise in designing and deploying machine learning and AI models, backend and frontend development, and cloud infrastructure. Skilled in end-to-end automation, microservices architecture, API development, CI/CD pipelines, containerization, and system security — solving real-world business challenges through AI integration, workflow automation, and high-performance backend systems.

Languages

  • English — Professional
  • Hindi — Native

Education

B.Tech, Computer Science
Vivekananda Global University, Jaipur
2016 – 2020

5+

Years building production systems

15+

Projects shipped end to end

4

Domains: AI, full-stack, automation, cloud

20+

AWS & cloud services in production

Capabilities

Four things I do, deeply.

Most projects pull from more than one of these — the value is in connecting them into a single working system.

(01)

AI & Data Solutions

From framing the problem to a deployed, self-retraining model — recommendation, forecasting, vision and language systems that hold up in production.

  • Custom ML / DL model development
  • Computer vision & NLP applications
  • Recommendation systems & personalization
  • Predictive analytics & forecasting
  • Generative AI — text, images, RAG
  • Feature engineering & data preprocessing
(02)

Full-Stack Development

Scalable applications end to end — clean APIs, solid data models and responsive interfaces, built to stay maintainable as they grow.

  • REST & GraphQL API design
  • Microservices & scalable architectures
  • Database design & optimization (SQL / NoSQL)
  • Real-time messaging & WebSockets
  • Modern web & dashboard development
  • Authentication, authorization & app security
(03)

Workflow & Automation

Removing the manual middle. Data pipelines, automated reporting and AI-driven workflows that cut cost and turnaround time.

  • AI-driven automation workflows
  • Data pipelines, ETL & data warehousing
  • Automated reporting & dashboards
  • Batch & real-time data processing
  • Automated retraining & deployment
  • Scheduled jobs & orchestration
(04)

Cloud & DevOps

Cloud-native infrastructure that scales predictably — containerized, observable, and shipped through automated pipelines.

  • AWS & GCP deployment
  • CI/CD pipelines & infrastructure as code
  • Containerization with Docker & Kubernetes
  • Performance tuning & cost optimization
  • System security & monitoring
  • SaaS product architecture & scaling
Tech Stack

The tools and technologies.

Languages

  • Python
  • JavaScript
  • SQL

Backend

  • Django
  • Flask
  • FastAPI
  • aiohttp
  • Node.js
  • Microservices
  • WebSockets
  • API Development

Frontend

  • Next.js
  • React.js
  • jQuery
  • Tailwind CSS
  • HTML
  • CSS

Machine Learning & Deep Learning

  • TensorFlow
  • Keras
  • PyTorch
  • Scikit-learn
  • Transformers
  • Deep Learning
  • NLP

Generative AI

  • LLMs
  • LangChain
  • LangGraph
  • Amazon Bedrock
  • RAG
  • FAISS
  • Pinecone
  • Knowledge Bases

Computer Vision

  • OpenCV
  • YOLOv8
  • Google Vision API
  • OCR
  • Object Detection
  • Image Classification
  • Real-time Video

Data Science

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Statistics
  • Data Analytics

Databases & Search

  • PostgreSQL
  • MySQL
  • MongoDB
  • SQLite
  • Redis
  • Elasticsearch
  • Vector Search

Cloud — AWS

  • SageMaker
  • EC2
  • S3
  • Lambda
  • Glue
  • RDS / Aurora
  • DynamoDB
  • Redshift
  • EKS
  • Textract
  • SNS / SQS
  • CloudFront
  • CloudWatch
  • Bedrock

DevOps & Infrastructure

  • Docker
  • Kubernetes
  • Terraform
  • Nginx
  • Gunicorn
  • GitHub Actions
  • CI/CD
  • Git
  • GCP

Automation & Architecture

  • n8n
  • Workflow Automation
  • ETL Pipelines
  • Microservices Architecture
  • System Design
  • Performance Optimization
  • Cloud-Native Design
PythonPyTorchTensorFlowFastAPIDjangoNext.jsReactDockerKubernetesAWSPostgreSQLRedisOpenCVElasticsearch
PythonPyTorchTensorFlowFastAPIDjangoNext.jsReactDockerKubernetesAWSPostgreSQLRedisOpenCVElasticsearch
Approach

A process built to survive contact with reality.

Nine stages from first conversation to handover. It flexes per project, but nothing gets skipped.

  1. 01

    Requirement gathering & understanding

    Talk with stakeholders, clients and the team to understand exactly what problem needs solving — and why.

  2. 02

    Research & feasibility

    Explore tools, frameworks and libraries, and pressure-test the feasibility of the requested features before committing.

  3. 03

    System design & architecture

    Define how the system will work end to end and break it into clear, independently buildable components.

  4. 04

    UI / UX design

    Work through wireframes, mockups and prototypes so the interface is agreed before code is written.

  5. 05

    Development in agile iterations

    Break the work into sprints and ship feature by feature, keeping each increment reviewable.

  6. 06

    Testing & QA

    Unit tests, integration tests, manual testing and user acceptance testing before anything reaches production.

  7. 07

    Deployment

    Push to production with security, monitoring and rollback in place from day one.

  8. 08

    Maintenance & monitoring

    Watch performance, error logs and user feedback, and fold what they show back into the roadmap.

  9. 09

    Documentation & knowledge transfer

    Write developer docs, API references and user guides so the system outlives any single contributor.

Words

What collaborators say.

“I had the absolute pleasure of working with Pradeep on a challenging project, and I could not recommend him highly enough. He was the star of our team, excelling not only as a developer but also as a key contributor to strategy planning for the software development life cycle. His technical skills, combined with his ability to deeply understand project requirements, made him an irreplaceable part of the team.”
Mostafa Qawaqzeh

Mostafa Qawaqzeh

Founder at IshareIt

“Pradeep is a great Python developer. He understands user requirements and does his best to implement within agreed timelines. He is strong at Python backend development with LLMs and AI.”
Vijaybabu Nakkonda

Vijaybabu Nakkonda

Solution Architect at Nakkonda Technology

Contact

Let’s work together.

Tell me about the problem you’re solving. I usually reply within a day.

info@pydev.online
+91 830 243 2383

Jaipur, India · — local time