Delivering cutting-edge NLP solutions across finance, healthcare, and document automation with expertise in text representation, semantic extraction, and LLM fine-tuning.
I'm an AI/ML Engineer with a strong background in text representation (TF-IDF, n-grams, bag-of-words), semantic extraction, and large language model (LLM) fine-tuning. I have experience designing scalable software architectures and ML pipelines using Python, PyTorch, TensorFlow, and Scikit-learn.
My expertise extends to software development, data structuring, and integrating ML APIs for production-ready solutions across domains like finance, healthcare, and document automation.
Developed a hybrid ML model combining regex and deep learning for mail classification, reducing manual sorting efforts.
Built AI-driven ETL pipeline using OpenAI GPT for financial document extraction, improving retrieval efficiency by 85%.
Implemented a mail and document security system with VirusTotal API, reducing malware incidents.
Engineered geolocation extraction tool to parse and standardize unstructured addresses in financial documents.
Applied machine learning techniques on large datasets, building models that enhanced diagnostic solutions.
Built ML models to identify and classify anomalies in medical imaging data.
Applied statistical and NLP-based techniques to extract diagnostic signals.
Developed models that could identify and classify medical anomalies, contributing to advanced diagnostic solutions
Full-stack invoice management system with AI modules for risk scoring and fraud detection.
VIEW PROJECTVoice-driven AI personality chatbot with speech recognition and GPT-4 integration.
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