The Person Behind
the Code.
I am Muaaz. A second-year CS undergrad who builds and ships real AI systems.
I work at the intersection of machine learning, backend engineering, and agent-driven architectures. I care about systems that do something useful in the real world, not just demos.
Most of what I build focuses on turning messy signals into structured decisions. Multi-agent workflows. LLM pipelines. Retrieval systems. Everything designed to be fast, reliable, and grounded.
I like taking ideas from research and pushing them into production. That means handling edge cases, scaling, and making sure the system holds up when it actually matters.
Outside of building, I write about what I learn, compete in hackathons, and explore how AI systems can be made more trustworthy and explainable.
Experience
Real work, real impact.
Freelance AI Engineer
Client Project
Built multilingual AI voice calling system automating payment follow-ups and improving collection efficiency by 80%.
Integrated Twilio, Vapi, WebSockets, and FastAPI for real-time low-latency conversations.
Developed LLM pipelines extracting payment intent, sentiment, disputes, and call outcomes.
Engineered async backend workflows with scheduling, retries, and rate-limited orchestration.
Research Intern
NMIMS MPSTME
Built legal judgment parsing, annotation, and structured retrieval pipelines at scale.
Fine-tuned summarization systems using LoRA / QLoRA for domain-specific legal tasks.
Developed citation-grounded search and retrieval workflows using LLM systems.
Technologies
Tools and frameworks I use to build production AI systems.
Languages
Agentic AI
ML & Deep Learning
Databases & Vector Stores
Backend
DevOps & Cloud
Frontend
Certifications
Courses and specializations I've completed.