MEERAMBUGARI MOHAMMAD SAIF
Hyderabad
Summary
Personable and highly motivated professional with a solid foundation in Java programming and web development principles. Proficient in front-end and back-end technologies, including JavaScript frameworks and RESTful APIs, facilitating seamless user experiences. Committed to leveraging technical expertise to design and implement impactful software solutions that drive efficiency and innovation. Eager to contribute to dynamic teams and tackle complex challenges in the tech landscape.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Java Full Stack Developer Intern
Digital Edify
07.2025 - 11.2025
- Developed RESTful APIs using Java and Spring Boot, enabling smooth communication between front-end and back-end.
- Built responsive UI components using HTML, CSS, JavaScript, and frameworks like Bootstrap/Tailwind.
- Implemented CRUD operations and integrated front-end modules with server-side logic.
- Worked with Spring MVC, JPA, and Hibernate for efficient data handling and ORM.
- Designed and optimized MySQL/PostgreSQL database schemas with proper indexing.
- Performed unit testing using JUnit/TestNG to ensure application reliability.
- Followed Agile/Scrum methodology and collaborated in daily stand-ups and sprint planning.
- Used Git/GitHub for version control, handling branches, merges, and pull requests.
- Fixed bugs, optimized performance, and improved application flow through code refactoring.
- Contributed to end-to-end feature development from design to deployment.
Deep Learning intern
SkillDzire
11.2024 - 12.2024
- Built and trained deep learning models using TensorFlow/PyTorch for prediction and classification tasks.
- Preprocessed datasets using normalization, augmentation, and feature engineering techniques.
- Designed and implemented CNN/RNN/LSTM/Transformer-based neural network architectures.
- Tuned hyperparameters to improve accuracy, reduce loss, and enhance overall model performance.
- Performed exploratory data analysis (EDA) using NumPy, Pandas, and Matplotlib.
- Built end-to-end ML pipelines for data ingestion, training, evaluation, and deployment.
- Evaluated models using metrics like accuracy, F1-score, precision, recall, and confusion matrix.
- Deployed trained models using Flask/FastAPI for real-time inference.
- Documented experiment results, model behavior, and training logs for reproducibility.
- Worked collaboratively in an Agile environment and maintained code using Git/GitHub.
Education
CLASS XII -
Al Alia International Indian School
01.2021
CLASS X - undefined
Al Alia International Indian School
01.2018
Bachelor of Engineering - Information Technology
Muffakham Jah College of Engineering And Technology
Hyderabad09-2025
Skills
- JavaScript, Java, Reactjs, HTML and CSS
Certification
Meerambugari Mohammad Saif - nasscom
LANGUAGES KNOWN
English, arabic, urdu, hindi
Timeline
Java Full Stack Developer Intern
Digital Edify
07.2025 - 11.2025
Deep Learning intern
SkillDzire
11.2024 - 12.2024
CLASS X - undefined
Al Alia International Indian School
CLASS XII -
Al Alia International Indian School
Bachelor of Engineering - Information Technology
Muffakham Jah College of Engineering And Technology
PROJECTS
1. PODGENIE – AI-Powered Podcast Creation & Discovery Platform
Domain: Artificial Intelligence & Machine Learning (AI/ML), Natural Language Processing (NLP), Media & Content Generation
Duration: Nov 2024 – Jun 2025
Developed an intelligent podcast creation and discovery platform that automates the end-to-end workflow for creators and listeners. The system uses NLP models to generate podcast scripts, summaries, and episode outlines, enabling rapid content production. Implemented machine-learning–based user profiling to power personalized recommendations and content discovery. Integrated audio generation, topic suggestion features, and a smart semantic search engine to help users find relevant episodes efficiently. The platform enhances content accessibility and boosts user engagement through an AI-driven, fully automated podcast ecosystem.
Technology: React, Tailwind/MUI, Context API, local-Storage
Duration: Sep 2024 – Nov 2024
Type: React-Based Single Page Application (SPA)
Built a frontend-only ship maintenance management system with role-based access control for Admin, Inspector, and Engineer. Designed modules for managing ships, components, and maintenance jobs, supported by real-time data persistence using local-Storage. Implemented KPI dashboards, maintenance scheduling calendar, and notification features to enhance workflow efficiency. Delivered a fully responsive UI using React and Tailwind/MUI, ensuring smooth navigation and a seamless user experience for operations teams.
Domain: Internet of Things (IoT)
Duration: Jan 2024 – Jul 2024
Designed and developed an automated smart shopping cart utilizing Arduino, RFID technology, and an LED display to simplify retail billing. The system scans products through RFID tags, retrieves item details from the product database, and updates the total bill in real time on the LED screen. Implemented automatic add/remove functionality to handle dynamic cart changes and reduce manual intervention. The solution eliminates checkout queues, minimizes billing errors, and improves customer shopping efficiency through a seamless, IoT-based retail experience.
AWARDS AND RECOGNITIONS
Second Position | Envisage 2025, Secured Second Prize at Envisage 2025 for developing an innovative SmartCart Market Billing System, an IoT-based solution using Arduino and LED display technology to automate real-time product scanning, reduce checkout time, and enhance overall customer shopping experience.