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 InternTribore AiMay 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 InternWebs JyotiMay 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
- 2028
Skills
Tools / apps / platforms
Projects
-
AI Website BuilderReact, 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 SystemPython, 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 SystemPython, 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