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ASHUTOSH TIWARI

@ashutoshtiwari13

Message

I build production-grade AI, ML, and decision intelligence platforms that improve enterprise outcomes.

India

Message

At Searce, I architect AI-powered decision intelligence platforms, including an Address Intelligence solution that raised geolocation prediction accuracy from 50% to 73% for last-mile logistics.

I've led GenAI BI and multi-agent platforms with secure RBAC, conversation memory, tool orchestration, observability, and enterprise data access—automating over 80% of routine BI queries. Previously at Celebal Technologies, I improved hybrid-search retrieval recall by 28%, reduced LLM token costs by 35%, and accelerated delivery timelines by 30% through CI/CD and containerized deployment standards.

Across iLink Digital and Accenture, I delivered pricing, forecasting, and optimization models that drove $1M+ portfolio growth, lifted sales volume by 5%, reduced forecasting MAPE by 20%, and cut pharmaceutical stockouts by 25%.

Experience

Work history, roles, and key accomplishments

Current

Associate Manager – Decision Intelligence

Current

Searce

Sep 2025 - Present (1 year)

Architected an AI-powered Address Intelligence platform, improving geolocation prediction accuracy from 50% to 73% by designing a hybrid geospatial inference engine using LLMs, Vector Embeddings, AlloyDB (pgvector), and H3 indexing. Led development of a scalable microservices-based GenAI BI Assistant platform, automating over 80% of routine BI queries.

LLM Embeddings AlloyDB Pgvector H3 Indexing Microservices GenAI BIツール RBAC Observability Databricks Delta Lake MLFlow LLMOps

Team Lead – AI/ML Solutions

Celebal Technologies

Oct 2023 - Aug 2025 (1 year 10 months)

Designed a multi-modal RAG pipeline processing massive unstructured corporate knowledge repository. Engineered hybrid search (BM25 + Dense Vector Embeddings) and optimized with HNSW indexing, improving retrieval recall by 28%. Integrated automated evaluation layers (Ragas) and semantic caching via Redis, driving down token usage costs by 35%.

RAG BM25 Dense Vector HNSW Ragas Redis Microservices Docker GKE CI CD Agile

Senior Data Scientist

iLink Digital

Sep 2021 - Sep 2023 (2 years)

Led advanced algorithmic pricing optimization initiatives across retail portfolios that directly drove $1M+ in net portfolio growth. Overhauled legacy price elasticity modelling framework, increasing model sensitivity by 53% and translating to a measurable 5% lift in total sales volume.

Pricing Optimization Price Elasticity XGBoost Elastic Network Model Time series Forecasting MAPE Data Ingestion Inventory Management

Senior Development Analyst

Accenture

Jun 2016 - Sep 2021 (5 years 3 months)

Engineered and deployed predictive ML models for chemical demand forecasting, reducing pharmaceutical manufacturing stockouts by 25% through real-time drift-monitored pipelines. Designed algorithmic resource allocation optimization tools that reduced global corporate overstaffing operational expenditures by 15%.

predictive modeling Demand Forecasting Drift Monitoring Resource Allocation Data Science Containerization Deployment