As Product Manager, I lead product development and optimization for an AI-driven virtual agent that automates complex, voice-based interactions. My work bridges AI systems, data analytics, and backend infrastructure, driving higher accuracy, faster response times, and a more natural experience for end users.

AI Product Ownership: Manage the lifecycle of a large-scale voice AI system from intent design, model tuning, and conversational logic to performance tracking and iterative improvements.

LLM & NLU Optimization: Analyze live call data and model responses to identify weak spots in prompt logic, intent recognition, and edge-case handling, reducing escalation and improving comprehension accuracy.

API & System Reliability: Partner closely with engineers to refine backend endpoints for real-time tasks , ensuring consistent performance and data accuracy across all integrations.

Data & Experimentation: Use SQL, Python, and analytics dashboards to monitor conversion, containment, and latency metrics; implement A/B-style experiments to measure AI-driven improvements.

Automation Frameworks: Designed success-measurement models that combine multiple performance indicators (containment, completion, duration, and escalation) to quantify AI impact beyond traditional metrics.

Technical Troubleshooting: Collaborate on diagnosing and resolving issues in production APIs using logs, network traces, and code-level inspection.

Model Behavior Tuning: Work cross-functionally to shape AI personality, tone, and fallback patterns improving user trust and completion rate while maintaining compliance boundaries.

Process Design & Rollouts: Create operational frameworks for model updates, feature launches, and post-release evaluation using Jira, Confluence, and structured test matrices.

Continuous Learning: Leverage insights from hundreds of live calls to train the system on context retention, error recovery, and conversation repair strategies.

GetFit | Fullstack Engineer | 10/2022

Website to help those in their fitness journey, whether they are experienced or just starting out.

Django, Python, PostgreSQL, JavaScript, Bulma.CSS, Bootstrap

Created in a 4-day sprint in which I used solely django as fullstack and PostgreSQL as my database.

The website has full User Authorization, 1 one-to-many, and 2 many-to-many relationships as well as full CRUD functionality.

The website's layout and frontend design was made through usage of Bulma and Bootstrap.

Bravado | Front End Developer 08/2022

Website in which others can come to learn and post their Interview Experiences.

EJS, CSS, Bootstrap, JavaScript, MongoDB, JSON api, and a lot of REST routing.

Collaborated with 2 other developers in a 1-week sprint in an agile environment. I had full control of the front-end development of the website.

The website's layout was designed using Bootstrap, and the front-end and back-end were integrated using express, node.js, and EJS files.

AnimeDB | Fullstack Engineer | 09/2022

React-based website in which others can come to learn about their favorite Anime and write reviews about them.

React, JSON api, Bootstrap, JavaScript, Express, MongoDB, and a lot of REST API routing.

Collaborated with 2 other developers in a 4-day sprint in an Agile environment to make the full-stack website. Each had a separate role in which I had Fullstack/API development of the website.

The website data was pulled by integrating a public API and tested through Postman, which was deployed on our backend servers and seeded to personal MongoDB so that we could access the specific datasets we need.

Created the website's backend with Express and connected it to our React Front-End so that MongoDB can be altered through each entry.

Led and coordinated a multifaceted team comprising software engineers and customer representatives. Spearheaded the website/app development by delegating tasks among engineers, ensuring a cohesive build. Conducted comprehensive training sessions for customer service representatives, focusing on customer communication and service offerings. This initiative significantly enhanced customer satisfaction and bolstered the company's service efficiency.

Established and integrated a PostgreSQL (PSQL) database to efficiently store and manage vital customer information. Employed robust database architecture to ensure secure data storage and retrieval, enhancing streamlined access to customer details for better service delivery and informed decision-making. This implementation facilitated personalized services, targeted marketing strategies, and deeper insights into customer behavior to drive business growth.

Collaborated in an Agile environment to develop a full-stack Django/Python web application, contributing to a significant increase in customer engagement and satisfaction.

Implemented CRUD functionality, a 1-to-many relationship, and an Admin authorization system, resulting in improved website maintenance and updates. This led to a 25% increase in revenue and sales due to enhanced user experience and functionality.