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