
Abbas Raza
@abbasraza1
I build production-grade AI systems with LLMs, RAG, computer vision, and voice automation.
What I'm looking for
At Nolyth, I build production-grade RAG systems for enterprise document intelligence and search, including OCR and LLM-based ingestion pipelines for PDFs, scans, and APIs.
I've deployed containerized AI microservices with FastAPI, Docker, and AWS EC2, and I develop LangChain agent workflows for multi-step reasoning and dynamic task execution. My work also includes low-latency STT and TTS systems for real-time voice-enabled AI assistants, plus LoRA/QLoRA fine-tuning for domain-specific LLM performance.
Previously at AllZone Technologies, I developed enterprise RAG pipelines, OCR-driven document parsing, scalable AI services, and LangChain-based agent architectures. Across projects such as Decisio, Voice Lead AI, BitStage, and Althea AI, I've built multi-agent platforms, AI voice agents, SaaS backends, and automation workflows.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer
Nolyth
Oct 2025 - Present (11 months)
Led design and development of production-grade RAG systems for enterprise document intelligence. Architected scalable ingestion pipelines and deployed containerized AI microservices using FastAPI and Docker on AWS EC2.
Education
Degrees, certifications, and relevant coursework
Sukkur IBA University
Bachelor of Science, Computer Science
2020 - 2024
Pursued a Bachelor of Science in Computer Science, focusing on machine learning, deep learning, computer vision, and natural language processing.
Availability
Location
Authorized to work in
Job categories
Skills
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