Hi, I'm Sai Deepak Reddy,

Passionate about Technology and Full-Stack Development 🚀

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About Me

Sai Deepak Reddy

Hello! I'm Sai Deepak Reddy👋


Graduated with a dual degree - B.Tech in ECE with electives in Computer Science and Masters in Business Management (Finance) from Jawaharlal Nehru University . With a passion for Coding, Backend Development, and Machine Learning, I am committed to continuous learning and staying at the forefront of technology.


With adaptability, dedication, and a thirst for growth, I aim to contribute to transformative projects and leave a meaningful impact. Looking forward to working with great teams.


Let's explore new possibilities together!

Experience

Pursuing Career Growth @ Self Learning

Sept 2024 - Ongoing(2024)

  • Started as an intern, evolving from React developer to Python developer and ML engineer, now focusing on backend with Java, Spring Boot.
  • Developing Uber clone, LinkedIn clone, using Spring Boot, alongside smaller backend projects to improve skills.
  • Practicing DSA on LeetCode, targeting mastery in problem-solving and coding platforms.

Featured Projects

LinkedIn Application picture

LinkedIn Application

Designed a scalable microservices-based backend enabling user authentication, connections, and notifications, deployed using Kubernetes and GCP.

Java
SpringBoot
Docker
Neo4J
Kafka
PostgreSQL
Kubernetes
GCP
Uber Application picture

Uber Application

Built a feature-rich monolithic backend for ride-hailing services, incorporating real-time location updates, secure payments, and AWS deployment.

Java
Spring Boot
Hibernate
OAuth2
JWT
PostgreSQL
Testing
AWS
Vessel Segmentation and Geometry Analysis for Stenosis Detection picture

Vessel Segmentation and Geometry Analysis for Stenosis Detection

Embarked on a project leveraging machine learning for the precise detection of stenosis, involving the segmentation and geometric analysis of brain blood vessels. Research Student at Department of Neuroimaging & Interventional Neuroradiology, All India Institute of Medical Sciences (AIIMS), New Delhi.

Medical Image Processing
VMTK
Machine Learning
Bayesian Hierarchical Model for ETFs picture

Bayesian Hierarchical Model for ETFs

Designed probabilistic frameworks for optimizing ETF strategies, demonstrating superior risk-adjusted returns.

Python
Statistics and Probaility
PyMC3
Corporate Finance
Blog Management System picture

Blog Management System

Presenting a secure blogging platform with token-based authentication and third-party API integrations.

Django
Redis
Celery
Django REST framework
ElasticSearch
GalacticNote - Notebook picture

GalacticNote - Notebook

Presenting a cloud-synced, ever-present Notebook that ensures seamless accessibility and up-to-date notes across devices, backed-up securely

ReactJS
ExpressJS
Node.js
MongoDB

More Projects

Spring Boot Projects

Spanning foundational to expert-level implementations, showcasing industry practices with a focus on microservices architecture and cloud-deployed scalable solutions.

Spring Boot
Docker
Kafka
Kubernetes
Testing
PostgreSQL
AWS & GCP

Credit Card Fraud Detection

Aimed to detect fraudulent credit card transactions, ensuring customers aren't charged for items they didn't purchase.

Python
Machine Learning

CPU Memory Allocation Simulation

Implemented a scheduling simulation algorithm along with supporting classes and functions using queue and dequeue, showcasing FCFS, SRTF, and RR scheduling methodologies..

C++
OOPS
Scheduling Algorithms

Contact Me

Whether it's a job opportunity, an invite to coffee,

or feedback on my portfolio, my inbox is open!

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