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Achievement: Pull SharkAchievement: YOLO

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Prashant-ambati/README.md

πŸ‘‹ Hi, I'm Prashant Ambati

οΏ½ Software Development Engineer | Full-Stack Developer | AI/ML Enthusiast

LinkedIn Portfolio

🎯 About Me

Software engineer with a passion for building scalable, production-ready applications and solving complex problems. I specialize in full-stack development, API design, and integrating AI/ML solutions into real-world products. From backend systems to mobile apps, I love turning ideas into robust software.

class PrashantAmbati:
    def __init__(self):
        self.role = "Software Development Engineer"
        self.expertise = [
            "Full-Stack Development (Frontend + Backend)",
            "RESTful API Design & Microservices",
            "System Design & Architecture",
            "AI/ML Integration & Deployment",
            "Mobile Development (iOS)"
        ]
        self.languages = ["Python", "TypeScript", "JavaScript", "Swift"]
        self.currently_building = "Scalable AI-powered applications"
    
    def say_hi(self):
        print("Thanks for dropping by! Let's build something amazing together.")

me = PrashantAmbati()
me.say_hi()

οΏ½ Featurred Projects

οΏ½ TransacriptoCast

AI-Powered API Service

  • Audio transcription pipeline
  • Multi-language translation
  • Text summarization engine
  • Deployed on Hugging Face Spaces

Tech: Python FastAPI mBART REST API

🌾 CropX

Full-Stack ML Application

  • Deep learning recommendation system
  • RESTful API backend
  • Interactive Streamlit dashboard
  • Three-branch neural network

Tech: Python TensorFlow Flask Streamlit

οΏ½ TrLaffic Signal Control System

Reinforcement Learning Application

  • Deep Q-Learning algorithm
  • Real-time optimization engine
  • Simulation environment
  • Performance metrics dashboard

Tech: Python RL NumPy Matplotlib

🀟 Sign Language Translator

Real-Time Web Application

  • Computer vision integration
  • WebRTC for video processing
  • Gesture recognition ML model
  • Responsive web interface

Tech: JavaScript TensorFlow.js WebRTC HTML/CSS

πŸ’» Tech Stack & Skills

πŸ”€ Languages

Python TypeScript JavaScript Swift SQL

🌐 Backend & APIs

Node.js FastAPI Flask Express REST API

🎨 Frontend & Mobile

React HTML5 CSS3 SwiftUI iOS

πŸ—„οΈ Databases & Cloud

PostgreSQL MongoDB Redis AWS

πŸ€– AI/ML & Data Science

TensorFlow PyTorch scikit-learn Pandas NumPy

πŸ› οΈ Tools & DevOps

Git Docker Linux Postman VS Code

οΏ½ Core Ccompetencies

  • πŸ’» Full-Stack Development: Building end-to-end web applications with modern frameworks
  • οΏ½ Backaend Engineering: RESTful APIs, microservices, database design & optimization
  • πŸ“± Mobile Development: Native iOS apps with Swift and SwiftUI
  • πŸ—οΈ System Design: Scalable architectures, distributed systems, cloud deployment
  • πŸ€– AI/ML Integration: Deploying ML models in production environments
  • πŸ”„ DevOps: CI/CD pipelines, containerization, cloud infrastructure

🌟 What I Bring to the Table

οΏ½ Prodauction-Ready Code         β†’ Clean, maintainable, and well-tested software
⚑ Performance Optimization      β†’ Efficient algorithms and scalable solutions
πŸ—οΈ System Architecture          β†’ Designing robust, distributed systems
🀝 Cross-Functional Skills       β†’ Backend, Frontend, Mobile, and ML integration
πŸ“Š Data-Driven Solutions         β†’ Analytics, visualization, and ML-powered features
πŸ”’ Security Best Practices       β†’ Authentication, authorization, data protection

πŸ“« Let's Connect!

LinkedIn Portfolio Email

πŸ’‘ "Building scalable software solutions, one commit at a time."

Profile Views

⭐️ From Prashant-ambati

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  1. alexnet-CNN alexnet-CNN Public

    This project implements a convolutional neural network (CNN) based on the AlexNet architecture for image classification, with an interactive web interface for demonstration. The implementation is i…

    Python 1

  2. CropX CropX Public

    A sophisticated deep learning crop recommendation system that provides personalized crop recommendations based on soil conditions and environmental factors.

    HTML

  3. Federated-Learning-for-Privacy-Preserving-Image-Classification Federated-Learning-for-Privacy-Preserving-Image-Classification Public

    Implemented a distributed federated learning framework inspired by Google’s research on data privacy in ML. Trained CNN models collaboratively across multiple clients without sharing raw data.

    Python

  4. llava-implementation llava-implementation Public

    Implementation of LLaVA (Large Language and Vision Assistant) based on the Visual Instruction Tuning paper (NeurIPS 2023)

    Python 1

  5. stunning-octo-barnacle stunning-octo-barnacle Public

    Engineered a production-grade abstractive summarization API inspired by research on transformer-based text compression (BART, PEGASUS).

    Python