SM

Shekhar Narayan Mishra

Aspiring AI/ML Engineer · Full-Stack Developer

Pune, Maharashtra, India

@shekhar_narayan_mishra

0 followers

🎓 Bachelor of Engineering (Computer Science and AI) at Newton School of Technology · Graduating 2028

About

Aspiring AI/ML Engineer focused on building AI-powered and full-stack digital solutions with real-world impact. Interested in emerging technologies, intelligent systems, and product thinking to solve meaningful problems at scale.

Experience

  • Ai Engineer Intern
    Tribore Ai
    May 2026 – Present

    Built and deployed a production FastAPI service for automated EV taxi check-in/check-out using Gemini Vision to validate vehicle condition and generate structured damage reports. Designed a data pipeline using BigQuery, Google Cloud Storage, and Google Sheets; researched and benchmarked open-source vision-language models and built an automated evaluation pipeline.

  • Web Development Intern
    Webs Jyoti
    May 2025 – Aug 2025

    Assisted in planning and developing a live IT training platform, contributing to core features and implementation. Gained hands-on experience in web development and deploying production-ready applications.

Education

  • Bachelor of Engineering
    Computer Science and AI · 2024 – 2028

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
BigQuery Google Sheets
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git GitHub MongoDB Claude Code Hugging Face Google Cloud Platform

Projects

  • AI Website Builder
    React, TypeScript, Groq API, Web Container Technology

    Built an AI-powered vibe coding web app that generates website layouts and code from user prompts.

  • RAG & AI-Powered Code Understanding System
    Python, Streamlit, RAG, vector embeddings, GitHub API

    Built an AI-powered code analyzer to analyze GitHub repositories and enable natural language querying over code. Implemented an end-to-end RAG pipeline for context-aware insights, fast code understanding, and debugging.

  • AI Voice Detection & Watermark Embedding System
    Python, PyTorch, Wav2Vec2, FFT, Librosa, NumPy, Streamlit, Gradio, Hugging Face Spaces

    Built an AI-based system to embed and detect digital watermarks in speech audio to prevent voice cloning. Used FFT for audio processing and the Wav2Vec2 model from Hugging Face for AI verification.

⚽ Extracurricular activities

  • Football
  • Reading
  • Running

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