I'm an AI/ML Engineer with hands-on experience building end-to-end systems across Machine Learning, Deep Learning, Generative AI, and AI Agents — from data preprocessing and model development to evaluation, API integration, and deployment.
My focus is on turning real-world problems into reliable, production-oriented AI systems using machine learning models, LLMs, agent workflows, retrieval systems, and scalable backend APIs.
- 🤖 Building Machine Learning, Deep Learning & Generative AI systems
- 🧠 Experienced with ML models, CNNs, LLMs, RAG, and AI agent workflows
- 🔬 Interested in model evaluation, experimentation, reliable AI, and hybrid AI
- ⚙️ Experienced across the ML lifecycle: data → features → model → evaluation → deployment
- 🚀 Building production-oriented AI systems using Python, FastAPI, TensorFlow, Scikit-learn, and LLM frameworks
- 🌱 Deepening my expertise in LLMs, AI Agents, MLOps, and scalable ML systems
- 💡 Interested in AI infrastructure, intelligent automation, healthcare AI, and financial analytics
- 👨💼 Open to AI/ML Engineer, Machine Learning Engineer, and AI Engineering opportunities
📫 Reach me at yashraj07thube.tech@gmail.com
Languages: Python SQL
Machine Learning: Scikit-learn XGBoost Predictive Modeling Classification Feature Engineering Model Evaluation MLflow
Deep Learning & Computer Vision: TensorFlow Keras CNNs OpenCV NumPy Pandas
Generative AI & LLMs: Generative AI LLMs RAG AI Agents LangGraph LangChain Gemini Groq Prompt Engineering
Data & ML Engineering: Data Preprocessing Data Pipelines Dataset Management EDA Experimentation Model Deployment
Backend & APIs: FastAPI Flask REST APIs SQLAlchemy Pydantic MySQL
Development & Deployment: Docker Git GitHub MLflow Jupyter
Frontend & Visualization: React TypeScript Streamlit Power BI
ThinkBuild — Pune, India
- Built AI agents and multi-step workflows in Python using Generative AI, Scikit-learn, TensorFlow, and XGBoost
- Designed data pipelines for model training and evaluation, automating workflows and improving processing efficiency
- Built and deployed FastAPI REST APIs and backend systems for AI model deployment
- Used MLflow for experiment tracking, reproducibility, and systematic model development
Thynk Technology India — Pune, India
- Performed Exploratory Data Analysis and data analysis using Python, Pandas, NumPy, and Power BI
- Automated data preprocessing, feature engineering, and transformation to streamline ML workflows
- Developed and optimized Scikit-learn machine learning models using feature selection and hyperparameter tuning
Python FastAPI LangGraph LangChain Groq RAG PostgreSQL React TypeScript
- Built an AI-powered customer support agent for parcel logistics that grounds responses in retrieved business data and support policies
- Combined a LangGraph agent workflow with RAG over internal support documentation and structured PostgreSQL lookups
- Implemented citation-backed responses so policy-based answers can be traced to their source context
- Designed a bounded tool-execution workflow for predictable and testable agent behavior
- Built a React + TypeScript interface with separate conversational and structured-data views
React FastAPI Python MySQL XGBoost LSTM Sentiment Analysis Machine Learning
- Built an AI financial analytics platform covering forecasting, stock prediction, sentiment analysis, and portfolio management
- Developed XGBoost and LSTM-based models for financial forecasting and predictive analytics
- Integrated an AI-powered financial assistant for conversational portfolio insights
- Designed asynchronous REST APIs for delivering financial analytics and model outputs
Python SQL Streamlit Power BI Pandas NumPy
- Built an end-to-end retail analytics platform using the Brazilian Olist E-Commerce Dataset
- Designed SQL-based analysis for revenue, customer, product, and sales performance
- Implemented RFM segmentation and Customer Lifetime Value analysis to identify high-value and at-risk customers
- Built interactive Streamlit and Power BI dashboards for business intelligence and KPI analysis
- Automated data cleaning and reporting workflows for repeatable analytics
Python XGBoost Scikit-learn FastAPI React MLflow
- Built a machine learning platform for customer churn prediction with an interactive analytics dashboard
- Developed a preprocessing pipeline using ColumnTransformer, OneHotEncoder, and feature engineering
- Used MLflow for experiment tracking and reproducible model development
- Implemented model monitoring concepts including PSI-based drift detection and retraining workflows
Python TensorFlow Keras OpenCV CNN Computer Vision
- Built a deep learning system for brain stroke detection from MRI images
- Applied image preprocessing and augmentation techniques using OpenCV
- Developed CNN-based image classification models using TensorFlow and Keras
- Evaluated multiple architectures including CNN, InceptionV3, and MobileNet
Python FastAPI Gemini AI Agents Google Calendar API OAuth 2.0 React
- Built a Generative AI scheduling agent that converts natural-language requests into actionable calendar workflows
- Designed an LLM agent workflow for intent recognition, entity extraction, tool calling, and task execution
- Integrated Google Calendar APIs for event creation, synchronization, and scheduling workflows
- Implemented OAuth 2.0 authentication and structured LLM outputs for reliable API interactions
Python Flask Librosa Scikit-learn Logistic Regression KNN
- Built a content-based music recommendation system using audio feature extraction and machine learning
- Extracted MFCC and Chroma features from audio data using Librosa
- Developed recommendation models using Logistic Regression and KNN
- Built Flask APIs for serving playlist generation functionality
Python FastAPI MySQL REST API
- Built a REST API for managing categories and products using FastAPI and MySQL
- Implemented pagination and structured JSON responses
- Designed database schemas and API endpoints for a lightweight product-catalog service
Sandip Institute of Technology and Research Centre — Nashik, India
📅 2022 – 2026 | 🎯 GPA: 8.4 / 10.0
Relevant Coursework:
Data Structures & Algorithms · Machine Learning · Database Management Systems · Statistics · Big Data
- 🏅 Top 10 Academic Performer — Ranked among the top academic performers from 1st through 3rd year of the engineering program
- 🚀 Smart India Hackathon 2024 — Selected at the college level for SIH 2024
- 🚀 Smart India Hackathon 2025 — Selected at the college level for SIH 2025
- 🤖 Built multiple end-to-end AI/ML systems spanning machine learning, deep learning, Generative AI, RAG, and AI agents
- 🧠 Developed practical experience across the complete ML lifecycle from data preprocessing and model development to evaluation, APIs, and deployment