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🏫 4th Year B.Tech CSE @ Vishnu Institute of Technology, Bhimavaram (CGPA: 7.82)
🎯 Driven to create technology that makes life better!
💡 Passionate about AI, ML, Full Stack, and delivering solutions that matter.

🚀 Currently Working On:
• Mastering Data Structures & Algorithms
• Building alongside Gen AI tools & exploring open source
• Developing with Flutter, MERN, Cloud, and automation

💬 Ask me about: Python, Java, JavaScript, ML, Web & App Dev
📫 Email: pp9111693@gmail.com
🦾 Portfolio: https://pp911.netlify.app/

⚡️ Where to find me

Linkedin Youtube Leetcode GeeksforGeeks


💻 Tech Stack:

Languages
Python Java JavaScript SQL Dart

Libraries & Frameworks
Pandas NumPy Flask NodeJs React TailwindCSS Flutter Apache Kafka FastAPI N8N Matplotlib PyTorch OpenCV

Databases
Firebase MySQL MongoDB

Tools
Figma Git GitHub VS Code Microsoft Excel Snowflake


💼 Professional Experience

Open Source Contributor @ Meshery — CNCF Project (Mar–Jun 2026)
  Contributed 11 AWS cross-service relationship definitions (Lambda, S3, DynamoDB, EC2, RDS, SNS, SQS, IAM, CloudWatch, ApiGatewayV2). Authored JSON schema files and had PR #17964 successfully merged into master.

Software Engineering Job Simulation @ JPMorgan Chase & Co. — Forage (Oct 2025–Jul 2026)
  Built REST API endpoints and controllers connected to an H2 in-memory database. Implemented Kafka-based messaging for asynchronous, event-driven communication between services.

AI and ML Intern @ SmartBridge (May–Jul 2025)
  Developed and shipped ML models, collaborated on live projects.

ML Engineer Intern @ Swecha (Jan–Apr 2024)
  Focused on NLP, improved language classification accuracy by 18%.


🚀 Project Portfolio with Quantifiable Achievements

Waste Classifier — Flask, OpenCV, VGG16 | 🔗 Live
  Deep learning web app for automated waste recognition — improved recycling efficiency by 25%. Led model training, data preprocessing, and validation as part of a 4-member team.

AgriBridge — Flutter, Dart, Firebase, FastAPI
  App connecting farmers to consumers — generated 45% more matches and accelerated transactions by 30%.

Trash to Treasure — NodeJS, ExpressJS, Firebase, FastAPI | 🔗 Live
  MERN-based gamified waste management — achieved 25% higher user engagement.

Face Recognition App — Python, OpenCV, MediaPipe
  Real-time ML model for face detection — 96% accuracy with 30% faster detection speed.


🏆 Certifications & Achievements

Programming in Python — Harvard University (CS50p)
Intro to AI & Prompt Engineering — IBM
Smart India Hackathon 2024 — Qualified for SIH 2024 finals at college level


📊 GitHub Stats:

github-snake

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  1. Agribridge Agribridge Public

    Dart 2

  2. Waste-classification-using-Trasfer-Learning Waste-classification-using-Trasfer-Learning Public

    Using pretrained model to classify waste for better Waste management

    HTML 1

  3. TRASH-TO-TRESURE TRASH-TO-TRESURE Public

    HTML 1

  4. google/it-cert-automation-practice google/it-cert-automation-practice Public archive

    Google IT Automation with Python Professional Certificate - Practice files

    Python 1k 46.6k