Sr. AI Specialist

  Machine Learning, Deep Learning, Natural Language Processing, Gen-AI and Agentic AI systems.

 

•       Specialized in building end-to-end AI solutions, including data preprocessing, model development,

 

·evaluation, and deployment in production environments.

 

•       Expertise in developing scalable LLM-powered applications, including RAG architectures, end-to-end NLP

 

·pipeline and conversational Chatbot using GPT-based models.

 

•       Worked extensively with vector databases and embedding pipelines for semantic search and knowledge

 

·retrieval systems.

 

•       Developed scalable Conversational AI systems for financial and enterprise use cases using GPT-4o and

 

·LangChain-based architectures.

 

•       Proficient in Python and popular data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow) for

 

·data analysis and model development.

 

•       Skilled in extracting insights from data, including NLP techniques with transformer models (e.g.,

 

·BERT) for customer feedback analysis.

 

•       Collaborated with cross-functional teams to translate business requirements into robust AI solutions,

 

·ensuring high data quality and model performance. Experienced with Agile methodologies and building

 

·RESTful APIs (Flask, FastAPI) for deploying machine learning models

 

•       Strong problem-solving skills and a track record of delivering actionable data-driven solutions.

 

 

TECHNICAL SKILLS

 

 

•         Generative AI: LangChain, LangGraph, OpenAI, Prompt Engineering, RAG, HuggingFace GPT, BERT, LLMs.

 

•         Machine Learning: Linear & Logistic Regression, Naïve Bayes, KNN, Decision Tree, K-Means Clustering.

 

•         Deep Learning: ANN, RNN, LSTM, Transfer Learning, Transformers.

 

•         Natural Language Processing: TF-IDF, NER, Sentiment Analysis, Word2Vec, Text Classification,

 

•         Tokenization, Text Summarization, Embeddings, Stemming & Lemmatization.

 

•         Libraries/Tools: Pandas, Numpy, Scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn, PyTorch, Pydantic

 

•         Programming Language: Python, SQL

 

•         Statistical Methods: Predictive Analysis, Descriptive Statistics, PCA.

 

•         Vector Database/DB: Azure AI Search (Azure Cognitive Search), Weaviate, FAISS, Azure

 

•         Blob Storage.

 

•         Web Development & APIs: Angular, ReactJs , Flask, FastAPI

 

•         Deployment: CI/CD Pipeline, Docker

 

•         Cloud: Azure/AWS (Azure OpenAI Service, Bedrock)