As a Machine Learning Engineer at Revolve AI , I have been involved in various AI projects,NolixAI: A project encompassing sub-projects like TrapX, PipeX, and DripX, focused on edge-device AI solutions for detecting leaks and capturing mice. Technologies include TensorFlow, CNNs, quantization, Docker, Redis, Python, Raspberry Pi, and feature engineering.Oddson: An NLP and LLM-based project that scrapes real-time documents, applies Retrieval-Augmented Generation (RAG), and allows users to interact with and modify documents via a chatbot. It uses FastAPI, Pinecone vector database, MongoDB, Redis, and AWS services.Caroogle: A system for scraping secure vehicle data, performing feature engineering, and predicting car prices. It provides recommendations via an app with risk analysis. Technologies used include FastAPI, Selenium, MySQL, GCP, AWS, Redis Queue, and machine learning models.

As a Junior AI Research Engineer, I develop AI solutions for various use cases in Industry 4.0. My specialization lies in time series forecasting and classification, with a strong focus on ensuring the robustness and optimization of models.I have extensive experience training a wide range of machine learning models, including:- Statisical Models- DeepAR- ARIMA- XGB- TCM- Temporal Convolutional Networks (TCN)- Deep learning models- Transformer-based models TFT, informer Key Responsibilities and Achievements:- Project Lifecycle Management: Actively participate in the entire project lifecycle, from gathering requirements to data preparation, model training, and optimization.- Model Analysis and Evaluation: Conduct thorough analysis and evaluation of models to ensure their effectiveness and efficiency in solving complex business problems.- Continuous Learning: Stay up-to-date with the latest developments in the AI field and implement best practices to improve model performance and accuracy.- Performance Metrics: Utilize various performance metrics such as MAE, RMSE, MSE, MAPE, SMAPE, MEDEA, MSLE, R2, Prediction Interval, and Confidence Interval to evaluate model performance.- Generative Projects and Research: Engage in generative projects and research activities to drive innovation and enhance AI capabilities.Notable Projects using AI:- Injection Molding Supply Chain Project: - Capacity Planning: Developed AI models for effective capacity planning. - Pilot Report Using Generative AI: Created comprehensive pilot reports using generative AI techniques. - Tooling Localization: Implemented strategies for tooling localization using triliteration method. - Process Change Detection: Detected process changes using AI Models to ensure quality and efficiency. - Accelerometer Data Handling: Managed and analyzed accelerometer data for improved process monitoring.

Data Science and Machine Learning Projects - Expertise in developing and implementing machine learning models tailored to solve complex business problems.- Proficient in time series forecasting, classification, regression, and clustering using various machine learning algorithms.- Skilled in data preprocessing, feature engineering, and model optimization to ensure high accuracy and performance. Web Automation Projects - Automating repetitive web tasks to save time and improve efficiency.- Creating robust web scraping solutions to gather valuable data from various sources.- Developing custom scripts and applications for browser automation using tools like Selenium and BeautifulSoup. Natural Language Processing (NLP) Projects - Designing and building NLP models for tasks such as text classification, sentiment analysis, and entity recognition.- Expertise in working with large text corpora and applying advanced NLP techniques to extract meaningful insights.- Implementing chatbot solutions and conversational AI systems to enhance user interaction. Services Offered on Fiverr - AI Modeling: Building and training custom AI models to meet specific client needs, ensuring high accuracy and efficiency.- NLP: Providing advanced NLP solutions, including text analysis, sentiment analysis, and chatbot development.- Scraping: Creating reliable web scraping tools to extract data from various online sources efficiently and accurately.- Automation: Developing automation scripts and tools to streamline web tasks and processes.- Time Series Forecasting: Offering precise time series forecasting services using state-of-the-art techniques to predict future trends and patterns.

I worked as Python Developer at Dviz technologies. I worked under a small team to handle the Data side. Data Scrapping with different Framework Scrapy, Selenium, and playwright and make the API for Data after Data cleaning if the information is fruitful then detecting pattern using ML models

delivered various lectures on Web scrapping using Beautiful soup and selenium and Do hands on practice using Antlr to build CFG tree.