I build intelligent, data-driven systems. My core focus is at the intersection of AI, Machine Learning, and Data Science, and I'm currently architecting better backend solutions by mastering Database Engineering.
When I'm not deep in Python, JavaScript, or ML pipelines, I'm usually negotiating a peace treaty with my latest codebase bug.
🌐 Portfolio mahnoorzaffar.dev
📧 Contact 1999mahnoor@gmail.com
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Autonomous Infrastructure Operations An AI-powered operations system that detects container failures, investigates root causes, executes controlled remediation, and verifies system recovery.
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Python · Docker · MCP |
| Project | Overview | Stack & Engineering |
|---|---|---|
| Tayari.ai AI Technical Interview Platform |
Simulates realistic software engineering interviews through real-time conversation, adaptive questioning, and structured technical evaluation. Built as an end-to-end AI product rather than a question bank or basic LLM wrapper. | Stack: Python FastAPI OpenAI API LangChain LlamaIndex WebSockets SQL NoSQL DockerEngineering: Real-time AI systems · LLM orchestration · conversational state · structured evaluation pipelines |
| Vocal Flux Real-Time Speech Intelligence |
Converts live conversations into structured insights through streaming transcription, speaker analytics, speech metrics, and conversational AI. Designed around continuous audio processing and low-latency inference. | Stack: Python WebSockets Whisper LLM APIs DockerEngineering: Streaming systems · real-time audio pipelines · low-latency inference · speaker analysis |
| Issue Alert AI Developer Operations |
Monitors GitHub repositories, analyzes newly opened issues, identifies potential causes, and generates contextual engineering recommendations. Connects AI directly to the software development lifecycle. | Stack: TypeScript Node.js OpenAI API GitHub API Webhooks RESTEngineering: Event-driven architecture · webhook processing · repository-aware LLM analysis · developer automation |
