Where I've worked

Data Science Engineer

Neostechus

Working on Agent P, an enterprise AI voice-agent platform that automates customer calls such as bookings, account updates and live transfers.

• Build and fine-tune machine learning and NLP models that detect customer intent and support natural, interruption-safe conversations.
• Design and maintain data pipelines that collect, clean and structure call transcripts and interaction data for model training and evaluation.
• Analyze performance metrics such as containment rate, latency, CSAT and escalation signals to find problems and improve call outcomes.
• Run evaluations and A/B tests on conversation flows and model versions, turning results into clear recommendations for the product team.
• Work with backend engineers to integrate models into production APIs and workflows with low latency and reliable behavior.
• Monitor deployed models for accuracy and drift, and retrain them when performance drops.
• Build dashboards and reports that turn call data into insights for stakeholders.
• Write clean, version-controlled Python code and document experiments and results.

Show all responsibilities

AI Annotation Specialist

Student Tribe

• Completed a 6-week internship focused on AI data annotation, including reviewing, categorizing, labeling and validating data against project requirements and quality standards.
• Maintained attention to detail, consistency and accuracy, and followed project guidelines throughout.