Passionate Artificial Intelligence (AI)/ Machine Learning (ML) Engineer with 3.5 years of experience in Generative AI, Data Science, MLOPs, Deep Learning, Computer Vision, Langchain, RAG and hands-on expertise in deliver…
Passionate Artificial Intelligence (AI)/ Machine Learning (ML) Engineer with 3.5 years of experience in Generative AI, Data Science, MLOPs, Deep Learning, Computer Vision, Langchain, RAG and hands-on expertise in delivering Machine Learning solutions. Proven ability to apply advanced techniques to deliver impactful solutions for clients.
Developed an AI address parser using NLP, Spacy, and LLMs to translate text to English and perform NER.
Built a RAG chatbot using agents improving customer retention by 25% and reduced manual query resolution by 20%.
Developed RAG Q&A chatbot leveraging Langchain frameworks and Ollama LLM.
Assisted in developing a chatbot with Microsoft Power Virtual Agent to provide key support resources.
Conducted Exploratory Data Analysis (EDA), uncovering key patterns that improved the dataset understanding by 20-30%.
Developed an AI address parser using NLP, Spacy, and LLMs to translate text to English and perform NER., Built a RAG chatbot using agents improving customer retention by 25% and reduced manual query resolution by 20%., Developed RAG Q&A chatbot leveraging Langchain frameworks and Ollama LLM., Assisted in developing a chatbot with Microsoft Power Virtual Agent to provide key support resources., Conducted Exploratory Data Analysis (EDA), uncovering key patterns that improved the dataset understanding by 20-30%.
Suggested modifications for applications by thorough analysis of business requirements and designing standards.
Performed data cleaning, feature engineering, and transformation to ensure high-quality inputs, effectively reducing bias in the ML models.
Assessed the performance of ML models using key evaluation metrics, consistently meeting or exceeding project goals by 10%.
Built scalable e-com data pipeline using Azure (ADF, ADLS Gen2, Databricks, Synapse) to streamline data integration and analytics.
Analyzed data to identify errors, discussed solutions with stakeholders, handled missing values, found trends, and created reports.
Developed SQL queries to extract data in the appropriate format for ML/DL models and create business reports.
Delivered technical support and troubleshooting, resolving 80% of incidents on first contact and maintaining application performance.
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