AI / ML Leader · 12 Years Experience
Prashant Jha
I build enterprise AI products that move real metrics.
12+ YOE in core DS/ML/AI products. I have built and scaled several enterprise products that are Agent and LLM powered, Search Engines and Recommender systems with deep learning models, Risk and Predictive intelligence system, led AI governance strategy.
I also have proven expertise in hiring and scaling high performance teams that build AI-ML products grounded in data and focuses on metrics and evaluations which solve user problems.
- Core data science
- 12 yrsCore data science
- GenAI, Search & RecSys products
- $BGenAI, Search & RecSys products
- Granted — US-10438133-B2
- US PatentGranted — US-10438133-B2
What I bring
Capabilities that drive impact
Enterprise AI Product Leadership
Building and scaling AI/ML products tied to business KPIs — strategy, platforms, roadmap, hiring and coaching.
Agentic Products & Infrastructure
GenAI tooling with MLOps and CI/CD to ship real-time, production-grade agent systems.
Search & Recommender Systems
Large-scale search engines, personalization, and LLM-powered conversational interfaces.
Data Science & Analytics
From data to models — training, evaluation, and experimentation that solves business problems.
Products · Everture
Things I'm building
Recall
AI read-it-later
Save anything; it summarises and resurfaces your highlights when they matter — weighted by recency and your own forgetting curve.
Tempo
AI scheduling that fits your life
A 90-second day that's energy-aware and burnout-aware.
secscan
AI/ML-aware security scanner
A self-contained scanner that orchestrates OSS tools across code, APIs, cloud and AI/ML pipelines — normalized to OWASP / MITRE ATLAS / CWE.
ds-llm-eval
Unified evaluation toolkit for search, recsys & LLM/agents
One pip-installable framework to score retrieval, recommendation, and LLM/agentic pipelines through a single API — ranking, beyond-accuracy, text, LLM-judge and agentic metrics, with significance testing, YAML-reproducible runs and Langfuse logging.
AI-native productivity tools under the Everture brand.
Learn AI/ML
26 in-depth engineering guides
RAG Patterns & Best Practices
Master retrieval augmented generation with chunking, reranking, and evaluation
Hybrid Search & Reranking
Production search systems with multi-stage retrieval and cross-encoder rerankers
Transformers
Understand self-attention, multi-head attention, and transformer architecture
Career snapshot
12 years, three chapters
GARTNER
Data Scientist → Sr. Data Scientist → Director → Sr. Director (4 promotions)
Led the Gartner Digital Experience India data science team with Product and IT to build end-user AI products, overseeing 7 scrum teams of 40+ data scientists, data engineers and engineers. Built AskGartner, Gartner's GenAI advisor, with LangGraph agents, RAG over Gartner content and a metrics-driven evaluation framework, raising answerability to 95%. Managed Gartner.com Search, a $300M product: hybrid search, the SOLR → OpenSearch migration and personalized rankers drove a 10%+ QAR lift. Built Gartner's first conference recommender (90%+ attendance rate) and rolled out MLOps/LLMOps. Earlier, as a data scientist, built client-risk and retention products and grew the team from 3 to 17.
AMERICAN EXPRESS
Developed scalable ML models for online credit card applications to increase customer acquisition. Led modeling and analytics for international credit card acquisition through digital platform.
GEP Solutions
Developed patented Spend Data Classification tool using Big Data & AI, reducing delivery times by 80% with 30% accuracy uplift. Built proprietary search engine on Elasticsearch for 300Mn+ line items.
Want to work together?
Open to leadership roles, consulting, and interesting AI problems. Let's talk.