Resume

Poojith Reddy Annachedu.

I am a Computer Science graduate student at Illinois Institute of Technology Chicago, and currently serving as a Software Engineer Intern at Reality AI. I specialize in full-stack development, cloud architecture, and AI integration with expertise in Spring ecosystem, microservices, and containerization technologies. My technical proficiency spans Java, Python, JavaScript, and frameworks like Spring Boot and React, complemented by experience with databases including PostgreSQL, MongoDB, and Elasticsearch. At ADP, I engineered high-performance backend services and microservices that improved system throughput by 30% and enhanced fraud detection efficiency by 35%. I've successfully implemented CI/CD pipelines, observability solutions, and scaled applications using AWS, Docker, and Kubernetes. With over 400 coding problems solved on platforms like LeetCode and certifications including AWS Cloud Practitioner, I combine strong algorithmic thinking with practical engineering skills to deliver reliable, scalable, and user-centric applications.

Poojith Reddy Annachedu

Skills

Specialized in

Software Development

  • Data Structures and Algorithms
  • Object Oriented Programming
  • API Integration
  • Agile Methodologies
  • Machine Learning
  • App Development
  • Unit and Integration testing

Languages/Frameworks

  • Python
  • Java
  • C
  • SQR
  • Dart
  • HTML, CSS
  • Javascript
  • Flask
  • Flutter
  • ADPR

Technologies & Databases

  • Big Data
  • Data Analysis
  • RESTAPI
  • PostgreSQL, MySQL, Oracle DB
  • Computer Networks
  • Python Modules: NumPy, Pandas, Matplotlib, OpenCV
  • Tools: Git, VS Code, UltraEdit, Jupiter Notebook, PyCharm

My works

Highlighted Projects

Career path

Work Experience

  • ADP
  • Indian Servers

Member Technical

Hyderabad, India

July 2022- July 2023

  • Java
  • SQL
  • Data Analysis
  • SQR
  • ADPR
  • HCM
  • Developed optimized Programs for generating complex HCM-related reports using Structured Query Reporting Language (SQR) and Java.
  • Implemented user controls to enhance the user interface, reducing complexity and addressing major panel issues in the front end. Applied pragmatic solutions to optimize the UX.
  • Deployed 120-plus client applications from Enterprise Version EV5 to the latest version EV6 emphasizing high availability and low latency.
  • Performed Data analysis on ad-hoc requests on whether clients can be upgraded to the latest version or not.
  • Played a core role in developing the One-Next tool, focusing on automation and reducing work complexity by 40 percent. Collaborated with cross-functional teams, including product and design, to ensure effective implementation.
  • Wrote SQL Scripts, for CRUD operations with key relations based on client requests before application deployments.

Machine Learning Intern

Hyderabad, India

July 2021 - August 2021

  • Deep Learning
  • Keras
  • Tensorflow
  • Machine Learning
  • Has been exposed to supervised and unsupervised machine learning algorithms and learned the basics of deep learning tools like Tensorflow, Keras, and computer vision.
  • Assisted incoming interns in resolving doubts and improving their fundamentals in Python and Machine learning-related areas.

Career path

Volunteering

WiCyS

Street Cause MGIT - Student Coordinator

Worked as a Student Coordinator at Street Cause Mgit club, where I contributed to building socially conscious leaders. Organized impactful events such as blood and food donations, fostering a sense of togetherness and uplifting the lives of the underprivileged.

Drake

Electrobuzz - Operations Head

I have served as an head of operator for conducting Electrobuzz tech fest in ECE department.

Learning Path

Education

Illinois Institute of Technology

Master's degree - Computer Science

August 2023 - Expected May 2025

Mahatma Gandhi Institute Of Technology

Bachelor's degree - Electronics and Communications Engineering

2018 - 2022

Certifications

Contact Me

You can reach me via email: