--- title: "Sourav Banerjee - Senior Forward Deployed Engineer in Bengaluru | Tal" description: "Meet Sourav Banerjee, Senior Forward Deployed Engineer @ Databricks | Building Production Multi-Agent Systems & RAG for Enterprise AI | Data + AI Architecture | 6x Databricks & 4x Azure Certified based in Bengaluru. AI stack includes claude code, claude, and cursor. Explore public work links includ..." image: "https://tal.club/meet/sourav-banerjee-1/share-image" --- # Sourav Banerjee on Tal ## Headline Senior Forward Deployed Engineer @ Databricks \| Building Production Multi\-Agent Systems & RAG for Enterprise AI \| Data \+ AI Architecture \| 6x Databricks & 4x Azure Certified ## About I'm a Senior Forward Deployed Engineer at Databricks, where I help enterprises design and ship production\-grade agentic AI and data platforms rather than one\-off proofs of concept\. My recent work centers on multi\-agent systems built with supervisor\-worker patterns, MLflow tracing, and persistent memory for financial services clients, alongside custom Deep Research frameworks, automated RCA engines, and RAG pipelines hardened with LLM gateway fallback routing, adversarial red\-teaming, and semantic re\-ranking\. Beyond agentic AI, I focus on the foundations that make these systems trustworthy at scale: MLOps pipelines spanning batch, streaming, and real\-time inference, and data governance frameworks built on Unity Catalog that enforce PII masking, access controls, and lineage across banking and insurance clients\. I'm also a contributor to Databricks Overwatch and built UNIQ, a multi\-agent migration framework that has cut project effort by three to six months for teams migrating off legacy platforms\. Before Databricks, I spent time at Accenture and A\.P\. Moller\-Maersk building large\-scale ETL and cloud data platforms, which is where I developed the data engineering fundamentals I still lean on daily\. I hold six Databricks certifications and four Microsoft Azure certifications, and I enjoy giving back to the community through partner talks, founding the Kolkata Databricks Meetup, and mentoring engineers navigating the shift from traditional data engineering into AI\-native architectures\. If you're working through how to move agentic AI from demo to production, or rethinking your data platform's governance and MLOps maturity, I'd love to connect ## Location Bengaluru ## AI stack claude code claude cursor elevenlabs hugging face langgraph ## Work experience Senior Forward Deployed Engineer at Databricks, Jun 2026 \- Present · 3 mos, Co\-architected production Multi\-Agent Systems \(Supervisor\-Worker patterns, MLflow tracing, persistent memory\) for financial services clients, embedding responsible AI guardrails into automated enterprise decisioning\. Engineered custom Multi\-Agent Deep Research frameworks and automated RCA engines, building vector\-ready datasets and governed data products for enterprise digital transformation\. Hardened Multi\-Agent deployments with LLM gateway fallback routing, layered memory, and adversarial red\-teaming; applied semantic re\-ranking and LLM\-based evaluation to Vector Search\-backed knowledge assistants\. Resident Solution Architect at Databricks, Feb 2025 \- Jun 2026 · 1 yr 5 mos, Established end\-to\-end MLOps foundations \(Feature Store, MLOps Stacks CI/CD, Lakehouse Monitoring\) across batch, streaming, and real\-time inference workloads\. Architected data governance and lifecycle policies via Unity Catalog across global banking and insurance clients, enforcing PII masking, access controls, lineage, and quality standards\. Designed high\-throughput ELT and streaming pipelines using Lakeflow SDP and Apache Airflow across multi\-terabyte data lakes, supporting Lakehouse and Medallion\-pattern architectures\. Core contributor to Databricks Overwatch \(Labs OSS\); authored UNIQ, a multi\-agent migration framework cutting project effort by 3\-6 months \($50K\-$100K savings\)\. Delivered partner tech talks to 125\+ architects, founded the Kolkata Databricks Meetup, and received an MVP nomination at the global Databricks Tech Summit\. Senior Solutions Consultant at Databricks, Jul 2022 \- Jan 2025 · 2 yrs 7 mos, Bengaluru, Delivered enterprise data governance and lifecycle policy solutions across global banking and insurance clients, embedding responsible AI guardrails into data platforms\. Engineered custom Multi\-Agent Deep Research frameworks and automated RCA engines, building vector\-ready datasets and governed data products to support enterprise digital transformation\. Established end\-to\-end MLOps foundations spanning batch, streaming, and real\-time inference workloads for client deployments\. Hardened production deployments with LLM gateway fallback routing, layered memory, and adversarial red\-teaming, applying semantic re\-ranking and LLM\-based evaluation to Vector Search\-backed knowledge assistants\. \. Open source contributor for Databricks\-Overwatch\. Github: https://databrickslabs\.github\.io/overwatch/ Senior Big Data Engineer at A\.P\. Moller \- Maersk, Mar 2022 \- Jun 2022 · 4 mos, Bengaluru, Karnataka, India Big Data and Cloud Engineer at Accenture AI, Apr 2018 \- Mar 2022 · 4 yrs, Greater Bengaluru Area, As ETL Lead for a multinational banking and financial services client, led a team of 10 data engineers managing Azure Data Factory pipelines, ingesting complex financial datasets into Azure Databricks using PySpark and Pandas\. Orchestrated end\-to\-end data processing and analytics across Azure Synapse Spark pools and Databricks, delivering interactive Power BI dashboards for executive decision\-making\. Standardized data quality rules, PII protection, and CI/CD release management across pipelines using Git, Docker, and DataOps best practices\. As Product Lead, architected an end\-to\-end patented ETL and ML automation product on Azure, integrating NLP and ML models into automated ELT workflows; ingested high\-volume transactional data \(SAP HANA, relational databases\) into cloud data lakes and deployed Azure ML pipelines supporting real\-time and batch inference for business operations\. Senior Software Engineer at Mashreq Bank, Oct 2016 \- Mar 2018 · 1 yr 6 mos, Bengaluru, Karnataka, India, Working as Senior Software Developer in Credit and Debit Card Domain\. Led Hortonworks\-based big data engineering \(MongoDB ingestion, HLD/LLD design\) and built AWS pipelines \(Oracle GoldenGate to Kafka/Cassandra, EMR, Lambda\) across enterprise IT and banking clients\. Built a Kafka streaming pipeline integrating Cassandra and Oracle Database for a banking client, with PySpark/Scala ETL and Hive UDF\-based customer encryption\. System Engineer at Tata Consultancy Services, Oct 2012 \- Sep 2016 · 4 yrs, Mumbai, Maharashtra, India, Built layered big data platforms \(Spark/Hive, Oozie\-automated workflows\) for supply chain and risk\-assessment analytics; migrated MapReduce jobs to Scala\-Spark with optimized Hive/Sqoop pipelines\. Implemented KMeans clustering and SVM/Logistic Regression classification models with Python\-based deduplication, deployed via Jenkins automation\. ## Education Bachelor's degree, Electronic and Communications Engineering Technology, Asansol Engineering College \(AEC\) Higher Secondary, Science, Santinagar Vidyamandir ## Public links - github: https://github\.com/sourav692 [View the original profile](https://tal.club/meet/sourav-banerjee-1) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/sourav-banerjee-1#person", "name": "Sourav Banerjee", "url": "https://tal.club/meet/sourav-banerjee-1", "image": "https://tal.club/meet/sourav-banerjee-1/profile-photo.jpg", "description": "Meet Sourav Banerjee, Senior Forward Deployed Engineer @ Databricks | Building Production Multi-Agent Systems & RAG for Enterprise AI | Data + AI Architecture | 6x Databricks & 4x Azure Certified based in Bengaluru. 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