Summary
Khushal Jethava is an Artificial Intelligence Engineer with 8 years of experience designing and deploying production-grade Generative AI and multimodal systems from Ahmedabad, India. At Codiste he architected multi-agent orchestration platforms, real-time AI voice systems with sub-800ms latency, and scalable telephony integrations handling 1K+ calls daily with 99.5% uptime. He brings hands-on expertise in RAG pipelines, vector databases (FAISS/Pinecone/Qdrant), async streaming (WebSockets/SSE), and Redis-backed session management to reduce latency and API costs. Previously he built document and vision AI products—fine-tuning transformers, YOLO/Detectron2 pipelines, and ControlNet-based room transforms—bridging research models to production APIs. Known for pragmatic trade-offs between model performance, latency, and cost, he blends deep learning nanodegree training with strong system design to solve complex GenAI and automation challenges.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Bachelor's degree at GLS Institute of Computer Technology (GLSICT-MBA)-Ahmedabad (SFI) 714
Nanodegree Deep learning, Nanodegree Deep learning at Udacity