Imad Yezdani
Verified Expert in Engineering
Software Engineer and Developer
Los Angeles, CA, United States
Toptal member since January 6, 2026
Imad is a senior software engineer and AI architect with 15+ years of experience building scalable cloud solutions and LLM-driven systems. He specializes in bridging complex back-end infrastructure with intuitive interfaces for high-stakes industries, including defense and SaaS. With a master's degree from the University of Southern California, Imad has delivered fault-tolerant platforms using Node.js, Python, and AWS, turning ambitious AI roadmaps into high-performance production reality.
Portfolio
Experience
- Database Management Systems (DBMS) - 20 years
- SQL - 20 years
- Amazon Web Services (AWS) - 10 years
- NoSQL - 10 years
- Node.js - 10 years
- Python - 5 years
- React - 3 years
- AI-enabled Applications - 1 year
Preferred Environment
Node.js, Python, React, Vue, AI-enabled Applications, Git, Linux, TypeScript, Amazon Web Services (AWS), Google Cloud Platform (GCP)
The most amazing...
...feat I've achieved is architecting an AI ecosystem that integrates multiple LLMs to automate complex workflows and accelerate internal application delivery.
Work Experience
Senior Software Engineer
Lotus Interworks
- Architected a comprehensive AI ecosystem integrating multiple large language models (LLMs) to automate complex internal workflows, reducing manual task completion time by 40%.
- Engineered a fault-tolerant history storage and real-time notification system utilizing OpenSearch and AWS Lambda to manage millions of records with 99.9% system uptime.
- Developed a template-based container framework using Node.js and Vue that accelerated the engineering team’s delivery of internal and client-facing applications by 60%.
- Spearheaded the development of a unified communication widget that consolidated email, SMS, and AI bot interactions into a single interface, increasing client engagement rates by 25%.
- Automated virtual private branch exchange (PBX) deployments and call routing systems for Asterisk PBX, supporting over 500 concurrent enterprise users with seamless VoIP connectivity.
- Developed a rapid application development framework for AI-driven tools, enabling near-instant deployment and reducing the time-to-market for new features by 50%.
- Architected a scalable social commerce engine designed for social media marketing and product sales, supporting a 100% increase in transaction volume during peak promotional periods.
- Modernized legacy on-premise infrastructure by migrating core services to Amazon—S3, RDS, and DynamoDB—and Docker, decreasing monthly cloud operational costs by 25%.
- Synchronized enterprise 3rd-party suites, including Zimbra and Google APIs, with internal systems to automate document management and scheduling workflows for over 500 active users.
Experience
Enterprise AI Orchestration & Workflow Automation Platform
My creative approach involved developing a modular "prompt-as-a-service" framework. This allowed internal engineering teams to deploy LLM-powered tools into production within minutes using pre-configured, template-based containers, effectively decoupling the AI logic from the core application code. I used Node.js for the orchestration layer and AWS Lambda for scalable, serverless execution. To provide full visibility, I also designed a custom Vue management dashboard that enabled real-time monitoring, prompt versioning, and cost tracking across different models.
This project fundamentally transformed internal operations, automating approximately 40% of manual data synthesis tasks and reducing the development cycle for new AI-driven features from weeks to days.
Education
Master's Degree in Computer Science
University of Southern California - Los Angeles, CA, USA
Bachelor's Degree in Computer Science
National University of Computer and Emerging Sciences - Lahore, Pakistan
Skills
Libraries/APIs
Node.js, Vue, REST APIs, React, OpenAI API, Claude API
Tools
Git, Amazon OpenSearch, Claude, Amazon Simple Notification Service (SNS)
Languages
JavaScript, SQL, Python, TypeScript, C++, PHP, Java, C
Frameworks
Express.js
Paradigms
Object-oriented Programming (OOP), Microservices, Agile Software Development
Platforms
Linux, Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Docker, Amazon EC2, Oracle, Kubernetes, AWS Lambda
Storage
Database Management Systems (DBMS), MySQL, Relational Databases, PostgreSQL, Amazon S3 (AWS S3), NoSQL, Redis
Other
Software Development, CI/CD Pipelines, Full-stack, Debugging, Full-stack Development, APIs, API Integration, AI-enabled Applications, Natural Language Processing (NLP), Artificial Intelligence (AI), Algorithms, Data Structures, Large Language Models (LLMs), AI Agents, AI Tools, Non-relational Databases, Amazon Bedrock, Third-party APIs, OpenAI, AI Agent Orchestration, LLM Integration, Generative Artificial Intelligence (GenAI), Software Engineering, Networks, Operating Systems, Compilers, Linear Algebra, Calculus, System Architecture, Prompt Engineering, API Design, Cloud Computing, LangChain, Machine Learning
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