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Jiten Jaglan

@jitenjaglan

I build production AI agents, document intelligence, and data platforms that drive measurable growth.

At EssentiallySports, I led data and AI for a sports media business reaching approximately 30M impressions, building agentic AI, document workflows, identity resolution, and governed data platforms. My work cut promotions/spam placement by 70%, increased newsletter CTR from 15% to 38%, and scaled newsletter-attributed monthly pageviews from 1.5M to 8.5M.

Across Aisens.ai, Infinite Analytics, and Blitz, I've delivered multi-agent recruiting systems, multilingual document intelligence, ML models, geospatial pipelines, and analytics platforms for international clients. I work hands-on with Python, LLMs, Google ADK, FastAPI, AWS, SQL, and human-in-the-loop evaluation to take applied AI from prototype to production.

Experience

Work history, roles, and key accomplishments

Data and Growth Engineer (Data Function Lead)

EssentiallySports

Aug 2025 - May 2026 (9 months)

Led the data and AI function for a sports media house, driving production agentic AI, model evaluation, human-in-the-loop adoption, cloud deployment, and data engineering. Built PromoGuard, a structured RAG system, and architected a three-agent content auditor, significantly improving operational efficiency and revenue metrics.

Python Google ADK LLM fastAPI Pydantic AWS SQL GCP Gemini Vertex AI RAG DBT Apache Superset ETL ELT Identity Resolution Feature Engineering Human In The Loop Prompt Chaining Tool Use Cloud Run Athena

AI / ML Engineer & Consultant

Aisens.ai

Apr 2023 - May 2025 (2 years 1 month)

Delivered end-to-end applied AI systems for international clients, spanning multi-agent orchestration, LLM document intelligence, ML pipelines, API integration, and cloud deployment across recruitment, supply chain, and real estate. Architected a five-agent recruiting system, built a multilingual document-intelligence pipeline, and developed a Random Forest price-prediction system.

Data Scientist (contract)

Blitz

Dec 2022 - Mar 2023 (3 months)

Built performance dashboards for Logistics Ops and FinOps, tracking 4,000+ orders and 30+ daily KPIs on Metabase and Tableau. Optimized PostgreSQL databases and CTE-based SQL workflows orchestrated with Apache Airflow, improving ETL performance and reducing query runtimes by 70%.

Metabase Tableau PostgreSQL SQL Airflow ETL Performance Optimization

Data Scientist (Full-Time)

Infinite Analytics

Mar 2020 - Nov 2022 (2 years 8 months)

Owned geospatial data-science projects across site selection, location targeting, and campaign optimization, building scheduled PySpark pipelines on Azure Databricks. Developed collaborative-filtering recommendation models and spatial regression/clustering models, achieving significant business impact including a 40% drop in CAC and forecasting $23M in sales.