Hello, I am
Kumarkhaniya Aditya.
Engineering Intelligence.
> AWS Cloud Infrastructure & Serverless
Cloud and AI Systems Architect
Status: Online
B.Tech, Computer Engineering (AI/ML Specialization)
Developer Terminal Shell.
Query Aditya's AI microservices, skills, projects, and credentials via real-time ZSH shell commands.
Shipped Systems.
Production AI frameworks, NLP platforms, and enterprise cloud microservices.
Technical Capabilities.
A comprehensive breakdown of the core technologies, frameworks, and domains I use to build scalable systems.
Programming
Python
Built AI applications, REST APIs, automation scripts, and backend systems using Python.
C
Learned core programming concepts including data structures, functions, pointers, and memory management.
C++
Applied object-oriented programming concepts and solved algorithmic problems.
SQL
Designed relational database schemas and wrote SQL queries for application development.
Backend Development
FastAPI
Developed modular REST APIs with dependency injection, validation, and scalable backend architecture.
Flask
Built full-stack web applications and integrated backend logic with frontend interfaces.
REST APIs
Designed and implemented RESTful APIs for web applications with structured request and response handling.
SQLAlchemy
Integrated PostgreSQL databases using SQLAlchemy ORM with repository-based architecture.
Alembic
Managed database schema migrations and version control using Alembic.
Pydantic
Implemented request validation, serialization, and configuration management using Pydantic.
Artificial Intelligence
Machine Learning
Built machine learning models for prediction, classification, and data analysis projects.
Deep Learning
Studied neural networks and applied deep learning concepts in academic and personal projects.
Computer Vision
Developed computer vision applications using OpenCV and object detection techniques.
Natural Language Processing
Worked on resume analysis and text processing using NLP techniques.
Scikit-learn
Applied Scikit-learn for preprocessing, model training, and evaluation in machine learning projects.
Pandas
Performed data cleaning, transformation, and analysis using Pandas.
NumPy
Used NumPy for numerical computing and efficient data manipulation.
Cloud Computing
AWS
Deployed applications and worked with core AWS cloud services during projects and internships.
Amazon EC2
Configured and managed virtual servers for application deployment.
Amazon ECS
Deployed containerized applications using Amazon ECS.
Amazon ECR
Managed Docker container images using Amazon Elastic Container Registry.
Amazon S3
Used Amazon S3 for object storage and application assets.
IAM
Configured users, roles, and permissions for secure AWS resource access.
VPC
Understood networking concepts including VPC configuration and cloud networking basics.
Databases
PostgreSQL
Designed relational databases and integrated PostgreSQL with backend applications.
MySQL
Built database-driven applications using MySQL.
SQLite
Used SQLite for lightweight application development and testing.
DevOps & Deployment
Docker
Containerized applications using Docker for consistent development and deployment.
GitHub Actions
Implemented CI/CD pipelines to automate testing and deployment workflows.
Nginx
Configured Nginx as a reverse proxy for production deployments.
Tools & Platforms
GitHub
Collaborated on projects, maintained repositories, and managed project documentation.
Linux
Used Linux for backend development, server management, and deployment tasks.
PyCharm
Developed Python applications using PyCharm with virtual environments and debugging tools.
Where I've Shipped.
Real-world engineering experience in fast-paced startup environments.
AxisRay
Cloud Technology Intern
Engineering Impact
- Completed a 15-day Cloud Technology internship.
- Learned cloud computing fundamentals and deployment concepts.
- Worked on project modules using Python and cloud technologies.
- Collaborated on implementing practical software solutions.
📄 Verifiable Credential / Offer Letter
AxisRay
MLOps Technology Intern
Engineering Impact
- Completed a 15-day MLOps Technology internship.
- Learned machine learning deployment and MLOps concepts.
- Worked on practical machine learning project modules.
- Applied software engineering practices to ML workflows.
📄 Verifiable Credential / Offer Letter
Education & Timeline
Every milestone as a git commit — from enrollment to production systems.
AWS Cloud Practitioner Essentials
Amazon Web Services (AWS)
AI Fundamentals: Language and Vision in AI
IBM SkillsBuild
Data Structure and Algorithms using Java
NPTEL (IIT Kharagpur)
AI Tools and ChatGPT Workshop
be10x
init: Enrolled at Silver Oak University
Began B.Tech in Computer Engineering with specialization in AI/ML. Built core strength in computer science and data structures.
feat: AWS + IBM + NPTEL Elite Certifications
Earned official AWS Cloud Practitioner & IBM AI certifications, alongside NPTEL Elite Certification from IIT Kharagpur.
feat: Cloud Technology Internship @ AxisRay
Engineered cloud infrastructure on AWS. Managed VPC networks, compute instances, storage policies, and automated cloud deployments.
feat: MLOps Engineering Internship @ AxisRay
Second specialization track at AxisRay focusing on MLOps. Built Dockerized model serving pipelines and CI/CD automation.
feat: Tuition Management System — Shipped
Architected an enterprise relational backend for managing student billing, schedules, and operational data end-to-end.
feat: ResumeGuide — Production NLP Engine
Built ResumeGuide into a production-grade NLP analysis engine that parses resumes and computes semantic alignment scores.
wip: SpeakLift — AI Audio & Speech Intelligence
Building SpeakLift to deliver real-time speech feature extraction, NLP accent & flow analysis, and communication feedback.
status: Open to Cloud / AI-ML / NLP Engineering Roles
Ready to bring battle-tested AWS cloud engineering, deep learning model building, and production MLOps expertise to engineering teams.
Verified Expertise.
Industry-recognized certifications and elite academic achievements.
AWS Cloud Practitioner Essentials
Amazon Web Services (AWS)
Completed AWS Cloud Practitioner Essentials training covering core cloud concepts, AWS global infrastructure, security, pricing, billing, and foundational services including Amazon EC2, Amazon S3, IAM, VPC, and RDS.
AI Fundamentals: Language and Vision in AI
IBM SkillsBuild
Learned the fundamentals of Artificial Intelligence with a focus on Natural Language Processing, Computer Vision, and practical AI applications using IBM SkillsBuild.
Data Structure and Algorithms using Java
NPTEL (IIT Kharagpur)
Completed a 12-week NPTEL course covering data structures, algorithms, time complexity analysis, recursion, searching, sorting, trees, graphs, and problem-solving using Java.
AI Tools and ChatGPT Workshop
be10x
Completed a hands-on workshop on AI productivity tools, prompt engineering, ChatGPT workflows, AI-assisted coding, presentations, and data analysis.
Let's build something extraordinary.
Whether it's scaling AI inference, optimizing backend architectures, or building intelligent NLP systems — I'm ready for the next challenge.