Ashutosh Mishra

I am a Generative AI and AI Systems Engineer focused on retrieval-augmented generation (RAG), multi-agent AI systems, LLM orchestration, and scalable AI infrastructure. Learn how to create production-grade AI systems with hybrid retrieval, reranking, evaluation pipelines, multi-model inference, and LLM deployment on the cloud and locally using FastAPI, Qdrant, Docker, and Ollama.

Experience implementing scalable GenAI solutions for enterprise workflows.

Practical experience: Expertise in machine learning, deep learning, distributed AI pipelines, and inference optimization. I'm passionate about AI platform engineering, GenAIOps, and high-performance AI infrastructure.

AI Developer at OMICS International USA (2025-07 – Present)

• Developed LLM-powered automation systems using FastAPI and cloud-hosted APIs, reducing manual paperwork by 70% and improving workflow efficiency across internal operations.
• Architected multi-agent AI pipelines for document generation and workflow automation, increasing operational productivity by 40%.
• Built scalable GenAI applications serving 60+ internal users with low-latency AI-assisted workflows.

Data Science Intern at Exposys Data Labs (2024-05 – 2024-06)

• Designed regression models to predict startup profitability using marketing, administration, and R&D expenditure data.
• Performed exploratory data analysis and feature engineering, improving model accuracy to 98%.
• Generated business insights to support forecasting and strategic decision-making for early-stage startups.

B.Tech in Computer Science and Engineering – XIM University (XIMB) (2021 – 2025)

Class XII in PCM – Shiv Jyoti Senior Secondary School (2019 – 2021)

Class X – Kendriya Vidyalaya Command Hospital (2018 – 2019)