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Makani Sasi

Python Developer / Backend Developer • Nellore, Andhra Pradesh, India (Open to Relocation) • s***********@gmail.com • +91*******896 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Python Developer with 0 years of experience building and deploying web applications, REST APIs, and AI-powered tools. Completed IBM-certified internships in AI, Cloud, and Frontend Development. Skilled in Python, Flask, REST API development, MySQL, MongoDB, Streamlit, and CI-enabled deployments. Seeking entry-level Backend Developer or Software Engineer role to contribute backend development, API design, and AI integration skills.

Technical Skills

Programming Languages: Python,JavaScript
Frameworks and Libraries: Flask,Streamlit,Django,FastAPI,NumPy,Pandas,scikit-learn
Databases: SQL,MySQL,MongoDB,SQL queries, CRUD, optimization
Cloud and DevOps: IBM Cloud,Streamlit Cloud,GitHub repo & deployment workflows
Data and Analytics: Model integration,Prediction pipelines,Feature engineering Pandas
Tools and Methodologies: Git,Agile,Scrum,Object-Oriented Programming,Debugging,CI workflows
Skills: HTML5,CSS3
Web & API: REST API Development,API Integration,Responsive Web Design,Cross-browser Compatibility

Work Experience

IBM SkillsBuild and Edunet Foundation (AICTE)
Remote
AI and Cloud Developer Intern
September 2025 – November 2025
Remote IBM SkillsBuild internship focused on building cloud-hosted AI solutions with Python and Flask; delivered an AI healthcare application during an 8-week Agile project cycle.
Tech Stack: Python, Flask, IBM Cloud, REST API, Pandas, NumPy, Git, Agile
  • Developed and deployed a cloud-hosted AI model on IBM Cloud using Python and Flask within an 8-week Agile cycle; exposed inference via REST API endpoints to support client requests.
  • Implemented end-to-end data pipelines (Pandas/NumPy) for model input/output processing, reducing manual data handling by ~60% and enabling repeatable ETL flows.
  • Delivered a healthcare AI application across 4 sprints — performed sprint planning, code reviews, testing, and documentation to meet scheduled milestones.
  • Integrated machine learning models with Flask REST APIs to enable real-time inference for application features and user workflows.
  • Collaborated across the team using Git — enforced branching practices, performed code reviews, and resolved 10+ merge conflicts to keep the repository stable.
  • Prepared technical documentation and test cases to support deployment and handover of the cloud-hosted AI service on schedule.
IBM SkillsBuild and Edunet Foundation (AICTE)
Remote
Frontend Developer Intern
August 2025 – September 2025
Remote frontend development program with IBM SkillsBuild building responsive web interfaces and integrating them with backend REST APIs.
Tech Stack: HTML5, CSS3, JavaScript, REST API, Git, Agile
  • Built responsive web interfaces using HTML5, CSS3, and JavaScript as part of the structured Frontend Development curriculum (6 modules completed).
  • Integrated frontend components with Flask REST API endpoints to enable real-time data flow across three project features and ensure seamless client-server interaction.
  • Applied responsive design and cross-browser testing to ensure compatibility across Chrome, Firefox, and Edge for consistent user experience.
  • Implemented modular, reusable UI components and client-side form validation to improve maintainability and reduce frontend defects.
  • Worked in an Agile environment, participated in peer code reviews, and managed changes via Git to coordinate work across the remote cohort.
  • Documented UI implementation details and integration steps to support backend/frontend handoffs and future enhancements.
Achieve Software Training and Skill Development Centre
Nellore, India
Python Developer Intern
November 2023 – March 2024
Practical development internship delivering Python scripts and backend logic, using MySQL for persistent storage and collaborating with senior developers in a hands-on training environment.
Tech Stack: Python, MySQL, Git, OOP, SQL
  • Developed 15+ Python scripts for data processing, backend logic implementation, and automated task management to support internal workflows and training assignments.
  • Applied object-oriented design to organize modules and classes, improving code readability and enabling easier reuse across scripts.
  • Implemented MySQL CRUD operations and integrated database access into backend scripts to persist and retrieve application data.
  • Used Git for version control, followed branch workflows, and participated in code reviews with senior developers to raise code quality.
  • Debugged and optimized the existing Python codebase, reducing script errors by ~35% and improving overall data workflow reliability.
  • Collaborated with senior developers to translate requirements into implementable features and refine code based on mentorship feedback.

Projects

AI Diet and Workout Planner
Tools Used: Python, Streamlit, Flask, REST API, scikit-learn, Pandas, Git, Streamlit Cloud
  • Independently built an AI-powered web application using Streamlit that generates personalized diet and workout plans from user health inputs (3 input modules, 5+ plan types).
  • Integrated machine learning models for health prediction and goal tracking; connected Flask REST API backend to deliver dynamic AI-based recommendations for 10+ user profiles.
  • Designed scalable API architecture to support concurrent sessions and deployed the application on Streamlit Cloud with CI via GitHub to maintain continuous availability.
Medease – Hospital Management System
Tools Used: Python, Flask, MySQL, SQL, MVC, RBAC
  • Engineered a full-stack hospital management application using Flask and MySQL to manage patient records, appointments, billing, and staff data across multiple operational modules.
  • Optimized SQL queries and database access patterns to achieve ~40% faster data retrieval for key views and reports.
  • Implemented role-based access control and secure session management to protect patient and staff data in multi-role environments.
  • Applied MVC architecture to separate business logic, database layer, and frontend templates for maintainability and scalability.
Recipe Finder Application
Tools Used: JavaScript, HTML5, CSS3, REST API, GitHub Pages
  • Built a dynamic recipe search application using JavaScript and third-party REST API integration to fetch ingredient-based recipe recommendations from a dataset of 1,000+ recipes.
  • Designed an interactive, mobile-responsive UI with HTML5 and CSS3; deployed the site on GitHub Pages ensuring continuous availability.
  • Managed source control with 50+ commits and implemented client-side filtering for fast user searches and improved UX.

Education

Vikrama Simhapuri University
Master of Computer Applications (MCA) • Nellore, Andhra Pradesh, India • 2024 – 2026 (In Progress)
Vignan Degree College, Podalakur
Bachelor of Commerce – Computer Applications • Podalakur, Andhra Pradesh, India • 2021 – 2024

Certifications

Web Development Fundamentals — IBM SkillsBuild • 2025
Artificial Intelligence Fundamentals — IBM SkillsBuild • 2025

Achievements

  • State Bank of Hyderabad (SBH) Merit Scholarship: Awarded scholarship for academic excellence for two consecutive years.

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