Associate Data Scientist with 2.5+ years of experience specializing in Generative AI and deep learning solutions. Passionate about building enterprise-scale ML products and deploying applications through robust CI/CD pipelines. Currently working on cutting-edge GenAI applications that transform business processes.
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Generative AI:
- Prompt Engineering
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Multi-agent Systems
- Vector Databases & Embeddings
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Natural Language Processing:
- Text Classification
- Named Entity Recognition
- Sentiment Analysis
- Topic Modeling
- Word Embeddings
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Deep Learning:
- Neural Networks (ANN, RNN, LSTM, GRU)
- Transformer Architecture
- Encoder-Decoder Models
- Transfer Learning
Here are some of my notable projects in GenAI and Machine Learning:
- Enterprise GenAI Solutions - Developed production-grade applications using FastAPI and LangChain, achieving 99.9% uptime
- Vector Search Systems - Implemented efficient document retrieval using PgVector and Pinecone
- LLM Fine-tuning - Optimized language models for domain-specific tasks, improving accuracy by 20%
