Padigela Mukesh
Software Engineer • Hyderabad, Telangana • m***************@gmail.com • +91*******954 • drivetube.ai/•••••
Professional Summary
Software Engineer with 0 years of experience, strong academic foundation (B.Tech Computer Science) and hands-on project experience building ML-powered web applications using Python, JavaScript, React, Streamlit and cloud tools. Skilled in machine learning, data preprocessing, RESTful APIs, and end-to-end deployment; seeking an entry-level software engineering role to apply full-stack and AI capabilities.
Technical Skills
Programming Languages: Python,Java,JavaScript
Web Technologies: HTML,CSS,REST APIs
Frameworks and Libraries: React.js,Pandas,NumPy,scikit-learn,TensorFlow,Streamlit,OpenCV,YOLO,Spring Boot
Databases: SQL
Cloud and DevOps: AWS Cloud,Azure AI,GCP Basics
Data and Analytics: Machine Learning,Prompt Engineering,LLMs,ChatGPT
Tools and Methodologies: Git,GitHub,Visual Studio Code,Google Colab
Computer Science Fundamentals: Data Structures,Operating Systems,Object-Oriented Programming
Soft Skills: Communication,Team Collaboration,Problem Solving,Adaptability
Work Experience
Infosys (Springboard Internship)
Hyderabad, Telangana
Springboard Intern
Nov 2025 – Jan 2026
Internship at Infosys Springboard (IT services and consulting) focused on building an AI-based event planning prototype for scheduling and recommendations.
Tech Stack: Python, Pandas, NumPy, scikit-learn, Git, Visual Studio Code, Agile
- Designed and implemented the backend components of an AI-based event planner using Python, Pandas and NumPy to process attendee and schedule data for automated scheduling flows.
- Developed conflict detection and automated resolution algorithms to identify overlapping events and propose rescheduling options using rule-based heuristics and model-derived signals.
- Built data preprocessing pipelines for cleaning, imputing and feature-engineering event metadata to improve model stability and reduce noisy inputs.
- Implemented a recommendation component with scikit-learn models to suggest timelines and event prioritization based on historical patterns and constraints.
- Collaborated using Git and Agile practices; maintained code in version control and produced technical documentation to support handoff and integration.
- Prepared and presented demos and documentation to mentors, incorporated feedback to iterate on scheduling logic and improve reliability across test scenarios.
Projects
Water Quality Prediction | June 2025 – July 2025
Tools Used: Machine Learning, Python, Streamlit, REST APIs, Google Colab
- Developed and deployed an end-to-end ML web application to predict water quality indicators (pH, turbidity, dissolved oxygen) using classification models.
- Built data pipelines for ingestion and preprocessing, and exposed model predictions via API endpoints for consumption by a Streamlit frontend.
- Validated models and reported performance metrics; documented pipelines and deployment steps to enable reproducible inference workflows.
Personal Fitness Tracker | Jan 2025 – Mar 2025
Tools Used: HTML, CSS, JavaScript, Python, Machine Learning, REST APIs
- Built a full-stack web application to track workouts, steps and calorie intake with backend APIs exposing user and analytics endpoints.
- Integrated lightweight ML models to generate personalized health insights and predictions based on user activity and input data.
- Implemented interactive dashboards to visualize trends and deliver actionable recommendations to users.
Helmet Detection and Number Plate Extraction | Jan 2024 – Mar 2024
Tools Used: Python, YOLO, OpenCV, OCR, Machine Learning
- Developed a real-time computer vision pipeline using YOLO for helmet detection and OpenCV for image handling.
- Integrated OCR to extract number plate text and combined outputs to support automated violation detection workflows.
- Packaged detection outputs into a downstream pipeline for challan generation and reporting; validated system performance on test sets.
Education
Anurag University
Bachelor of Technology in Computer Science • Hyderabad, Telangana • Nov 2022 – May 2026
Alphores College
MPC (Board of Intermediate Education) • Karimnagar, Telangana • June 2020 – Mar 2022
Sri Suryodaya High School
SSC (Board of Secondary Education) • Metpally, Telangana • June 2019 – Mar 2020
Certifications
Artificial Intelligence — IBM • Nov 2023
Machine Learning and AI — Google Skill Boost • Oct 2023
AWS Database Certification — AWS • July 2024
Python Programming — Cisco • Aug 2024
NPTEL Certification in Java Programming — NPTEL • July - Oct 2024
Azure AI Fundamentals — Microsoft • Feb 2025
Achievements
- Winner, Tejas 2K24 Project Expo for ML-based project — 2024: Awarded first place for a machine learning project at the Tejas 2K24 project expo.
- Paper published on Artificial Intelligence — 2024: Presented and published a paper at the IEEE Kaagaz Conference.
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