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eshwanth harshavardhan

@eshwanthharshavardha

GenAI and Agentic AI Architect at HSBC, building governed multi-agent banking assistants with human review and evidence-backed answers.

India

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At HSBC, I lead architecture and technical delivery for Data & AI initiatives in global banking, currently guiding a 17-member cross-functional team. I translate risk, regulatory reporting, finance, and control requirements into production-ready solutions.

For a banking risk and regulatory intelligence assistant, I implemented five agents with LangGraph and connected policy retrieval and structured-data tools. The solution validates responses, grounds them in policy citations, and escalates high-risk or low-confidence cases for human review.

I also built an Agentic RAG approach for intercompany cost investigations, combining finance-policy evidence with read-only SAP, SQL, and BigQuery tools. Statistical baselines and Isolation Forest help prioritize unusual allocations, with controller approval required before financial decisions.

Before HSBC, I delivered machine learning, NLP, and analytics work at Accenture and Vodafone, including financial risk prediction, document intelligence, and telecom network analytics. Earlier roles at Samsung and L&T FINANCIAL SERVICES built my foundations in data engineering, ETL, and BI; I hold Google Cloud Professional Data Engineer and Google Professional Data Scientist certifications.

Experience

Work history, roles, and key accomplishments

Current

Lead AVP - GenAI & Agentic AI Engineering / AI Solution Architect

Current

HSBC

Sep 2023 - Present (3 years 1 month)

Leads a 17-member cross-functional engineering team in global banking, driving architecture, technical delivery, and stakeholder alignment across Data Engineering, Analytics, and AI initiatives. Translates complex banking, risk, finance, and control requirements into scalable Data & AI products.

AI Engineering Manager - Machine Learning, Deep Learning & NLP

Accenture

Jan 2020 - Sep 2023 (3 years 8 months)

Led end-to-end AI and analytics delivery across use-case assessment, data discovery, solution design, model development, cloud deployment, technical reviews, sprint governance, and stakeholder communication. Established reusable Python, feature-engineering, evaluation, and API patterns.

Senior ML Engineer / Technical Lead - Telecom Network Intelligence

Vodafone

Sep 2016 - Jan 2020 (3 years 4 months)

Led AI/ML delivery for network availability, service assurance, and NOC operations, delivering 10+ analytics applications integrating OSS/NMS alarms, performance counters, topology, asset, and incident-ticket data. Owned use-case discovery, data profiling, feature engineering, model experimentation, batch/API scoring, dashboard integration, production monitoring, and support.

Python Pandas PySpark SQL scikit learn XGBoost Random Forest Temporal Feature Engineering Hadoop Spark Rest Services Qlik Sense Power BI NLTK SpaCy TF IDF SVM Word2Vec Bi LSTM BERT

Senior Data Engineer / BI Developer - Finance Analytics

Samsung

Mar 2015 - Aug 2016 (1 year 5 months)

Designed SQL-driven ingestion, transformation, reconciliation, and analytical data-mart workflows supporting enterprise finance reporting. Designed QlikView/Qlik Sense associative data models and governed KPI layers supporting executive reporting and self-service analytics.

SQL Qlikview Qlik Sense Data Modeling ETL BIツール

Data Engineer / Software Developer - Data & Reporting Systems

L&T Financial Services

Mar 2012 - Mar 2015 (3 years)

Developed SQL-based ingestion, transformation, stored procedures, and reporting components for enterprise financial reporting systems. Implemented validation, reconciliation, and repeatable ETL/data-processing workflows.

SQL ETL Stored Procedures SAP Business Objects Qlikview Data Validation Reconciliations