Loading profile…
Loading profile…
Data and Growth Engineer (Data Function Lead)
I build production AI agents, intelligence dashboards, and data platforms that drive measurable growth.
IndiaData and Growth Engineer (Data Function Lead) at EssentiallySports
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.
PythonGoogle ADKLLMfastAPIPydanticAWSSQLGCPGeminiVertex AIRAGDBTApache SupersetETL ELTIdentity ResolutionFeature Engineering
Bachelor of Technology in Bio-Engineering with academic research from the Indian Institute of Technology, Kanpur.
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.
Google ADKVertex AIOpenAI APIfastAPIPydanticMCPPyMuPDFPdfplumberLang ChainGeminiEmbeddingsCosine SimilarityOpenAI Assistants APIRandom ForestSagemakerStep FunctionsLambdaS3PlaywrightSeleniumBeautifulSoupTesseract OCRLLMAWSGlueRedshiftCloudwatchQuickSightSnowflakeSnowflake SnowparkPostGISUber H3Jira
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%.
MetabaseTableauPostgreSQLSQLAirflowETLPerformance Optimization
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.
PySparkAzure DatabricksGeospatial analysisCollaborative FilteringRecommendation SystemsXGBoostLogistic RegressionFeature EngineeringSpatial StatisticsClusteringNASAHEREOpenStreetMap
Profile sourced from Himalayas.