Professional Overview
Experienced ML/AI Engineer with over 4 years of expertise in designing, developing, and deploying NLP-driven software applications. Proficient in building conversational AI using Google Dialogflow, OpenAI GPT, and Samsung’s SVoice, with extensive experience in developing voice assistant solutions and hybrid engines that combine rule-based and machine learning approaches. Skilled in intent matching, context management, and creating text classifiers using deep neural networks. Strong hands-on experience with machine learning frameworks (TensorFlow, PyTorch), NLP libraries (NLTK, Spacy, Gensim), and cloud technologies (AWS EC2, S3, Lambda). Demonstrated ability to train and test NLP models using LSTM, RNN, BERT, and other advanced algorithms for applications like clinical language intelligence, customer retention, and demand forecasting. Proficient in data preprocessing, feature engineering, and hyperparameter tuning. Effective communicator with experience collaborating with cross-functional teams and stakeholders to deliver AI solutions that enhance user interaction and improve business outcomes.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
