AI/ML Professional | Generative AI & Speech Analytics Expert
Leveraging 4+ years of expertise in Generative AI, Speech & Audio Analytics, and NLP to create scalable, cloud-ready AI solutions that drive real-world impact.
Let's ConnectAs an AI/ML professional with around 4 years of hands-on experience, I specialize in Speech & Audio Analytics, Generative AI, and Natural Language Processing (NLP). My passion lies in developing and deploying cutting-edge solutions, from Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines to integrating Large Language Models (LLMs) for real-time applications.
I am the architect behind "iSTENO", a groundbreaking speech analytics tool that significantly reduced contact center wrap time by 50%. With a strong foundation in Python, Machine Learning, and Deep Learning, I am dedicated to building robust, scalable, and cloud-ready AI solutions that solve complex business challenges.
HSBC (Innovation Team) | Aug '21 - Present
Led the development of iSTENO, an advanced GenAI-powered stenography system with Speech-to-Text (ASR), TTS, Summarization, and Sentiment Analysis capabilities. Integrated models inspired by Whisper, Google speech to text and transformer-based summarization, reducing call wrap-up time by 50%.
Developed a fraud classification engine using NER and semantic embeddings to identify fraudulent customer calls with 70% accuracy on real datasets.
Built a rule-based and AI-assisted quality monitoring module that evaluates agent-customer conversations against standard operating procedures (SOPs). Used NLP-based intent recognition, custom keyword spotting, and compliance tracking to flag missed greetings, disclosures, and closing statements. Helped reduce manual QA effort by 65% and improved procedural compliance scores across teams.
Built a machine learning model for fraud detection, achieving a PR AUC score of 0.31. This showcases my strong skills in building predictive models.
Secured 7th place in a competition identifying AI-written essays. This experience honed my expertise in Natural Language Processing (NLP) and machine learning.
Co-authored a research paper titled "Forecasting Financial Fraud Through Machine Learning: An Indian Perspective." This demonstrates my research abilities and interest in financial applications of machine learning.
I'm always open to discussing new projects, creative ideas, or opportunities to contribute to your vision. Feel free to reach out!