Open to opportunities

Himanshu Bhardwaj

@himanshubhardwaj

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AI Engineer and ML consultant building production-ready RAG and agentic pipelines for real-world teams.

Sweden

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What I'm looking for

I’m looking for a team where I can build production AI systems—RAG, agentic workflows, and event-driven data pipelines—on cloud platforms, with strong observability and data strategy so non-technical stakeholders can confidently use the outputs.

I’m an AI Engineer and AI/ML consultant who designs and deploys end-to-end AI systems—especially automated data extraction pipelines, RAG, and agentic workflows—so technical insights become usable for the teams that rely on them.

At Bridge Medical Consulting, I develop and deploy AI-based data extraction pipelines for Systematic Literature Reviews, refactoring existing solutions to add tracking, observability, and a stronger data strategy. My focus is making platforms dependable, auditable, and accessible to non-technical users.

Previously at Predli Consulting AB, I architected an event-driven Azure data pipeline processing 160+ stock listings using automated web scraping, document parsing, and real-time backfilling for new firms. I also built a production-ready RAG system with optimized chunking strategies, improving response relevance by 40% based on client feedback, and developed an LLM-powered Twitter bot (@KalqylAI) with sub-30-second response times.

Across my work, I’ve strengthened ingestion and retrieval with content-aware chunking, metadata extraction, and retrieval-oriented automation (including template-based report generation, persona customization, and AI workflow automation). Earlier, as a Data Science Intern, I built an NLP pipeline for survey analytics using advanced clustering to turn open-ended responses into actionable client insights.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Bridge Medical Consulting

Dec 2025 - Present (7 months)

Developing, implementing, and deploying AI-based data extraction pipelines with automated end-to-end strategies for systematic literature reviews in pharmaceutical drug development and research. Refactoring pipelines to improve tracking, observability, and data strategy for non-technical team usability with traceability and audit trails.

AI ML Data Pipelines And Automated Pipelines Observability Traceability

AI & ML Consultant

Predli Consulting Ab

Sep 2023 - Dec 2025 (2 years 3 months)

Architected an event-driven Azure data pipeline processing 160+ stock listings using automated web scraping, document parsing, and real-time backfilling for new firms. Built a production-ready RAG system with optimized chunking (40% improved response relevance) and developed an LLM-powered Twitter bot with sub-30-second responses, including AI-driven stock analysis report generation.

Azure Data Pipelines Web Scraping Real Time Backfilling RAG LLM Information Retrieval Automated Graph Plotting

Data Science Intern

Predli Consulting Ab

Apr 2023 - Jun 2023 (2 months)

Developed an end-to-end NLP pipeline to analyze open-ended survey responses, implementing advanced clustering algorithms to improve client insight generation and enable data-driven strategic decisions.

NLP Clustering Survey Analytics Data Analysis Pipeline Development

Business Operations Associate

ZS Associates

Nov 2019 - Jan 2022 (2 years 2 months)

Designed and implemented data-driven incentive compensation frameworks for sales teams managing $100M+ in annual revenue. Automated weekly performance reporting and built COVID-19 impact analysis dashboards, reducing manual effort by 20+ hours per week and improving decision-making speed.

Financial Analysis Process Automation performance reporting Dashboards Decision Support Data Driven Framework