Dynamic AI Applications Lead at Comcast, specializing in TensorFlow and MLOps, delivering impactful solutions such as feature flag management platform and AI-powered support portal.
Overview
5
5
Years of Al/ML experience
Work History
AI Applications Lead (Hands-on Full-Stack)
Comcast
Philadelphia
01.2023 - Current
Developed platform for managing feature flags, enabling controlled experiments and A/B testing.
Enhanced unified Developer Portal to optimize onboarding, app registration, and API access for global partners.
Designed AI-powered portal integrating with Slack to provide production support insights and automated reporting.
Associate Consultant
Tata Consultancy Services
02.2010 - 12.2022
Developed real-time call intelligence platform to analyze live or batch audio and transcripts.
Applied AI/NLP techniques to detect intent, sentiment, escalation risk, churn signals, and policy violations.
Delivered instant insights and summaries to enhance decision-making processes.
Constructed AI-driven testing framework to identify visual regressions and layout issues across streaming UIs.
Improved quality assurance for releases by detecting playback anomalies in device interfaces.
Engineered AI models to analyze test results and predict failures proactively.
Utilized machine learning algorithms to enhance reporting accuracy and classify recurring defects.
Skills
TensorFlow and PyTorch
Data manipulation with Pandas
Machine learning operations (MLOps)
Scikit-learn expertise
LangChain and LlamaIndex integration
OpenAI API utilization
Certifications And Recognition
JavaScript Algorithms & Data Structures, freeCodeCamp
Google Cloud Professional ML Engineer, A Cloud Guru
Responsive Web Design, freeCodeCamp
Certified Kubernetes Application Developer, A Cloud Guru