Career & Projects

A decade building AI that ships

12 years across search, recommendations, and agentic systems — leading teams, owning platforms, and turning models into products that move real metrics.

Experience

Where I've made an impact

Building enterprise AI products and leading high-performing teams across three companies.

Gurgaon · Jun 2018 – Present

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.

Gurgaon · Mar 2017 – Jun 2018

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.

Mumbai · Jun 2014 – Mar 2017

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.

Key projects

AI products that drove impact

Measurable business outcomes across agentic AI, search, recommendations, and classification.

AskGartner — Agentic Conversation Product

Gartner

Rolled out to 80% of users in 6 months, 95% answerability

Gartner's own GenAI advisor — an agentic conversational product that answers client questions grounded in Gartner research, built on LangGraph agents with frontier LLMs (GPT, Claude, Gemini) and in-house trained models.

Key achievements

  • Raised answer quality and answerability to 95% with loopy agents and LangGraph deep-agents
  • Connector tools, RAG and search pipelines that ground the agent in all Gartner assets
  • Evaluation framework that ties development, testing and release to metrics
  • Adoption-led rollout focused on coverage, stickiness and quality

Technologies

AgentsLangGraphRAGFrontier LLMsLLM EvalsLangFuseLLMOps

Enterprise Search Platform

Gartner

15% reduction in search abandonment, 10% increase in MAU

Owned Gartner.com Search, a $300M product — re-architected the query pipeline to be ML-ready and experimentation-friendly, reusable across every searchable Gartner asset.

Key achievements

  • Led the SOLR → OpenSearch migration with hybrid search and SOTA retrieval + ranking (10%+ QAR uplift)
  • 50% lower search latency via a Python query-pipeline rewrite and model optimization
  • Personalized, low-latency typeahead — 50% uplift in usage, 10%+ content CTR
  • Deep-learning document and multimedia search with personalized re-ranking

Technologies

OpenSearchSOLRHybrid SearchVector SearchLearning to RankPersonalizationPython

Conference Recommendation System

Gartner

30% uplift in email CTR, 40% uplift in session attendance

Deep learning recommendation system for 30+ annual conferences.

Key achievements

  • Real-time recommendations via API
  • Automated retraining with drift detection
  • Integrated into Salesforce for sales teams

Technologies

PyTorchSageMakerDeep LearningMLOps

Spend Data Classification (Patent)

GEP Solutions

80% reduction in delivery time, 30% improvement in accuracy

AI-powered automated tool to classify enterprise spend data.

Key achievements

  • US Patent granted (US-10438133-B2)
  • Elasticsearch-based search on 300M+ line items
  • Production system processing billions in spend data

Technologies

NLPML ClassificationBig Data

Tech stack

Tools for production AI systems

The technologies I reach for when building and shipping AI products.

GenAI, Agents & Search Engine

Gen AI / LLMsRAG, Vector SearchLLMsPyTorchLangChainMCPSOLROpenSearch

Machine Learning and Data Science

Language ModelsTransformersLearning to RankClassificationClusteringPredictive Modeling

MLOps & Cloud

AWS SageMakerKubernetesDockerMLFlowJenkinsLambdaEC2

Data Engineering

AWS EMRPySparkSQLAWS AthenaRedisAWS S3AWS KinesisETL PipelinesData Warehouse

Programming & Tools

PythonGitFastAPIStreamlitJupyterREST APIsMCP Servers

Analytics & BI

PowerBIAWS QuicksightSQL AnalyticsA/B TestingMetrics Design

Education

Foundations

Statistics and applied math from two of India's leading institutions.

2012 – 2014

IIT Bombay

Master of Science · Applied Statistics & Informatics

2009 – 2012

University of Delhi

Bachelor of Science (Hons.) · Statistics