Summary
Parvez Akhtar is a Senior AI/ML Engineer and founder-minded architect with 8 years’ experience building production-grade GenAI systems, RAG pipelines, and LLMOps for both startups and large enterprises. He blends Amazon-scale distributed-systems rigor with startup frugality, optimizing models not only for accuracy but for cloud FinOps and real-world profitability. As a lead architect he’s delivered hybrid search stacks, agentic orchestration, and LoRA fine-tuning that cut token and compute costs dramatically while boosting retrieval and extraction accuracy. His work includes scaling platforms that supported multi-million-dollar enterprise pipelines and designing pay-per-execution serverless agents that saved six-figure annual costs. Known for translating ambiguous business problems into resilient, secure architectures, he also brings hands-on experience in vector DBs, PyTorch, and AWS Bedrock/ECS/Kubernetes. Based in Bengaluru, he’s the kind of engineer who sees product, cost, and reliability as equal parts of a deployable solution.
8 years of coding experience
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at National Institute of Technology Delhi
Bharti Public School - India