PROFESSIONAL EXPERIENCE

AI EngineerMobify

Building AI-powered backend services and production-ready LLM integrations for multiple applications and products developed at Mobify.

• Researched and evaluated multiple GenAI models to identify the most suitable model for specific AI features based on accuracy, latency, cost, and overall response quality.
• Conducted model benchmarking and experimentation to compare performance, hallucination rates, response consistency, and real-world effectiveness before production adoption.
• Designed and developed production-ready AI APIs and endpoints using FastAPI, enabling seamless integration of AI capabilities across multiple applications.
• Performed prompt engineering and iterative optimization to improve model reliability, task accuracy, and user experience for business-specific use cases.
• Tested, validated, and optimized AI services to ensure scalability, low latency, high availability, and stable performance under concurrent user traffic.
• Collaborated with product and engineering teams to convert AI feature requirements into deployable solutions and support their integration across various products and applications.

AI EngineerAug AI

Worked on multiple AI-driven projects involving end-to-end development of intelligent features using LLMs such as OpenAI and Anthropic models for real-world applications.

• Worked on multiple AI-driven projects involving end-to-end development of intelligent features using LLMs such as OpenAI and Anthropic models for real-world applications.
• Designed and implemented Retrieval-Augmented Generation (RAG) systems using vector databases to improve contextual accuracy and enable knowledge-based AI responses.
• Built and optimized multi-agent AI systems using frameworks like LangChain, LangGraph, and CrewAI to handle complex task automation and workflow orchestration.
• Developed production-ready backend services and AI APIs using FastAPI and Docker, deployed on AWS EC2 for scalable and reliable access.
• Applied advanced prompt engineering, evaluation, and testing techniques to improve model performance, reduce hallucinations, and ensure stable outputs across different use cases.
• Worked on advanced AI integrations including voice agents, MCP-based workflows, and agentic systems to enable intelligent and interactive user experiences.