S&P Global
Senior Data Scientist
ASHUTOSH MISHRA / AI ENGINEER
I build AI that moves from possibility to production. Seven years of turning data into GenAI and machine learning systems used by millions.
Currently · Senior Data Scientist at S&P Global
01 / EXPERIENCE
Building intelligent systems across enterprise AI, personalisation, and language understanding.
Senior Data Scientist
Data Scientist → AI Lead, GenAI Practice
Led 15 GenAI engineers delivering enterprise AI and agentic systems. Launched root-cause analysis solutions that reduced infrastructure mean time to recovery by 15%.

Founding Engineer and Data Scientist
Built and scaled core AI and data products as an early founding engineer, including real-time purchase-intent systems processing 11M+ e-commerce sessions a day.
Associate Data Scientist
Built machine learning systems for large-scale legal corpora, achieving 90% precision in extracting high-value analytics.
02 / PRACTICE
My work connects machine learning research with the systems that make it useful.
Generative AI, LLMs, NLP, deep learning, reinforcement learning, graph networks
Python, SQL / NoSQL, cloud infrastructure, Docker, CI/CD, scalable ML pipelines
Uncertainty quantification, Bayesian methods, time series, model benchmarking
FOUNDATIONS
B.Tech, Computer Science · 2015–2019
Honours in Artificial Intelligence and Real Time Systems
Data Science Intern · Financial time series, deep learning, and uncertainty quantification.
Machine Learning Intern · Financial modelling and stock price prediction.
Project Intern · Economic prediction, dynamic time warping, and Bayesian methods.
03 / SKILLS
From agent design and model serving to the data and infrastructure behind production AI.
Python, JavaScript, SQL, Rust
LLMs, AI agents, RAG, MCP, tool calling, LLM fine-tuning, Hugging Face, LangChain, Google ADK, FastMCP
PyTorch, machine learning, deep learning, JAX, Scikit-learn, vLLM, TGI, model serving, Unsloth
FastAPI, Node.js, AWS, Azure, Google Cloud, Docker, CI/CD, MLOps, serverless deployment, Nginx
PostgreSQL, MongoDB, ClickHouse, Snowflake, ChromaDB, vector databases, knowledge graphs, NoSQL
04 / ACHIEVEMENTS
Recognition, open-source contributions, and work shared with the AI community.
Rune Goblin: an AI dungeon crawler where hand-drawn runes become spells. Read the build story ↗
Member of the award-winning team.
Winner at the inaugural nationwide edition.
Synthetic datasets and fine-tuned models published on Hugging Face.
05 / WRITING
The latest posts from the blog, on machine learning, research, and practical tools.
06 / CONNECT
Have an interesting problem in AI, an idea to explore, or just want to say hello?
prog.mishra@gmail.com ↗