Kaushal Khatu
AI engineer
kaushalkhatu@gmail.com+918169326707Mumbai, INlinkedin.com/users/kaushalkhatugithub.com/Kaushal52
Summary
I’m an AI Engineer with hands-on experience in Python, AI agents, APIs, and building practical AI-powered solutions. I’m strong at problem-solving, simplifying complex workflows, and turning ideas into useful, scalable applications. I’m looking for an AI/ML role where I can contribute to real-world products while continuing to grow my expertise in intelligent systems.
Education
Skills
Python, Machine Learning, Deep Learning, Generative AI, Artificial Intelligence, AI Agents, Agentic AI, Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, Computer Vision, Data Analysis, Data Preprocessing, Feature Engineering, Model Development, Model Training, Model Evaluation, MLOps, Model Deployment, API Development, Flask, REST APIs, Docker, Git, GitHub, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, OpenAI API, Groq API, Spotify API, YouTube API, Automation, AI Workflow Development, RAG, Vector Databases, Embeddings, Fine-tuning, Cloud Deployment
Projects
I developed an AI-powered music application integrating the Spotify API to analyze and interact with music data, with a focus on personalized and automated music experiences. This project strengthened my skills in Python, API integration, AI-driven development, and building practical end-to-end applications.
- Developed an AI-powered YouTube transcription model to automatically convert video speech into text.
- Integrated YouTube APIs to fetch and process video content efficiently.
- Implemented speech-to-text processing to generate accurate transcriptions.
- Built the system using Python and AI/ML techniques for automated processing.
- Focused on creating a simple, efficient tool for extracting and analyzing spoken content from videos.
Developed an AI-powered portfolio comparison tool that analyzes multiple investment portfolios and compares their performance, risk, asset allocation, and key metrics. Used AI-driven analysis to generate clear insights and make portfolio evaluation faster and easier.
Developed an AI-powered live cricket commentary system that processes real-time match data and generates dynamic, human-like commentary. Designed the system to automatically interpret match events and provide contextual insights, making live matches more engaging and interactive.
Certifications
- AI/ML prime, Apna college, 2025
Languages
- German, Professional
- Hindi, Fluent
- Marathi, Native
- English, Native