AI Voice Agent Platform: Architected and implemented an AI-powered voice assistant in Python using STT, TTS, RAG, and LLMs; handled multilingual conversations, human-AI handoff, visual context integration, and outbound call flows.

Led Frontend & Widget Development: Built and owned the complete frontend architecture using React, TypeScript, Zustand, and Webpack for the customer-facing UserDashboard and embeddable in-app Widget used by end-users.

Prompt Engineering: Engineered, optimized, and iteratively refined prompts for high-accuracy, contextual, and dynamic AI interactions tailored to business use cases.

Built a FastAPI-based backend for automated order verification with Celery-based task scheduling, concurrency control, and a Python worker to manage real-time AI voice calls and status updates.

Marketing Website: Delivered the full customer-facing Overhyped AI marketing site using Next.js in just 3 days to accelerate brand visibility and lead generation.

Developed and implemented a personalized dashboard for customers, driving 85% of website traffic. Enhanced data analysis capabilities and improved time efficiency for users.

Developed POC feature showcasing our platform capabilities and insightful data, driving customer acquisition and seamless subscription transition.

Implemented a user-friendly interface that allows users to select specific ingredients and apply multiple filters for efficient data filtering and analysis.

Collaborated on UI/UX fixes, bug fixes, and improvements for a clean user experience. Developed reusable components and contributed to features like Regional Analytics, Demography Analysis, and Related Trends.

Leveraged historical time series data to analyze long-term trend evolution, aiding user decision-making across multiple years.

Implemented scalable data transformations using PySpark on ~1B records to extend the “Concept Generator” feature from ingredient pairings to triplets.

Contributed to DevOps by setting up a resource-optimized staging environment; fine-tuned deployment sizing to run efficiently without increasing node pool usage.

Contributed to backend models, API endpoints, and frontend UI/UX fixes; helped develop reusable components and improve user experience.