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venkatnikhilm/README.md

Hey there, I'm Venkat Nikhil Mangipudi! πŸ‘‹

Tech Enthusiast | Full Stack Developer


πŸ›  Tech Skillset

  • Languages: JavaScript/TypeScript, Python, Go, Java, HTML/CSS, SQL
  • Frameworks & Tools: React, Node.js, GraphQL, Redis, Docker, Kubernetes, Amazon Web Services (Lambda, EC2, SQS, ECR)
  • Databases & Cloud Storage: SQL, DynamoDB, AWS S3
  • Libraries: Scikit-learn, Pandas, NumPy, Matplotlib

🌟 Cool Projects

  • Prepify - AI Interview Assistant

    • πŸ† AI Innovation Award Winner at SunHacks 2024
    • Built with React, Node.js, AWS Polly, Transcribe, OpenAI, and Socket.io for real-time AI-driven mock interviews.
  • Cloud Based Elastic Face Recognition System

    • Deployed a scalable face recognition system on AWS with EC2, S3, SQS, achieving dynamic scaling and high-throughput processing for real-time image uploads.
    • Implemented a serverless face recognition pipeline using AWS Lambda functions, S3 buckets, and Docker, to process video uploads, extract frames, and identify faces using machine learning models with pre-trained embeddings.
  • Real-Time Chat Application

    • Developed a full-stack chat app with TypeScript, NestJS, React, Prisma, and Redis.
    • Integrated GraphQL subscriptions for live messaging and JWT-based authentication for secure user access.
  • NeuroEmotion: Rule-Based Facial Emotion Recognition

    • Achieved over 85% accuracy using MediaPipe and Neurosymbolic AI techniques to precisely recognize facial emotions.

🌐 Check out my portfolio website to see more of my work!


πŸ… Achievements

  • πŸ₯ˆ 2nd Place – LA Hacks 2025 (Snap Inc. Challenge) Placed at Southern California’s largest collegiate hackathon, hosted at UCLA. Built SnapDrobe, an AR-powered fashion assistant using Snap Spectacles, Gemini API, and real-time voice interaction.

  • πŸ† AI Innovation Award – SunHacks 2024
    Awarded for Prepify, a real-time AI mock interview platform integrating GPT-4, AWS Polly, and Transcribe.

  • πŸ… Top Project – CSE 591: Cloud Computing (ASU)
    Recognized for building a distributed face recognition system using scalable cloud-native architecture on AWS.


πŸŽ“ Education

  • M.S. in Computer Science | Arizona State University (08/2023 - Present)
  • B.E. in Electrical and Electronics Engineering | Rashtreeya Vidyalaya College of Engineering (08/2017 - 08/2021)

πŸ“« Let's Connect!


πŸš€ Passionate about building tech that makes a difference!

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Pinned Loading

  1. Sentinel-AI_Log_analyzer Sentinel-AI_Log_analyzer Public

    TypeScript

  2. Cloud-Based-Face-Recognition-System Cloud-Based-Face-Recognition-System Public

    Python 1

  3. Rule-based-Emotion-Recognition-Neurosymbolic-AI Rule-based-Emotion-Recognition-Neurosymbolic-AI Public

    Jupyter Notebook

  4. auto-scout-agent auto-scout-agent Public

    Python 1

  5. Prepify Prepify Public

    Forked from Sujithrt/interview-prep

    AI Mock interview Assistant

    JavaScript 1

  6. FitCoach FitCoach Public

    Java