Sharath K B

Bangalore Urban

Sharath K B on Tal

Headline

About

GenAI & Agentic AI Engineer | Claude Certified Architect | Oracle & RDBMS-Rooted Data Systems I apply GenAI and LLM-assisted approaches to solve real production engineering problems - built on a 10+ year foundation in enterprise data architecture and Oracle performance engineering for Fortune 500 clients across automotive, banking, and enterprise tech. My work spans identifying where GenAI can meaningfully change an outcome inside legacy systems, then engineering that transformation end-to-end - from LLM-assisted code analysis to the underlying data pipeline itself. 🔹 What I Do Identify GenAI opportunities inside legacy enterprise systems and re-architect them using LLM-assisted analysis — recently took a multi-pass Oracle PL/SQL cost-rollup procedure that risked a multi-day production rerun down to under 2 hours. Design and optimize complex SQL/PL/SQL data pipelines for large-scale enterprise and ERP applications. Apply AI Vector Search and Gen AI techniques to enterprise data platforms. Improve database performance through query tuning, indexing strategy, and data modeling — the operational discipline that keeps AI-driven systems reliable at scale. 🔹 Certifications Claude Certified Architect – Professional (Anthropic) · Oracle Gen AI Certified Professional · Oracle AI Vector Search Certified Professional 🔹 Technical Toolkit AI / GenAI: Claude architecture, LLM-assisted pipeline re-architecture, AI Vector Search, generative AI, agentic system design principles Data Engineering: Oracle SQL, PL/SQL, ETL/ELT pipelines, data modeling, large dataset handling Programming: Python, SQL Tools & Platforms: Enterprise ERP systems, backend services, data pipelines 🌱 Currently Exploring Agentic AI system design and orchestration frameworks · Python-based data engineering tooling · scalable ML workflows and modern data platforms Beyond technology, I'm increasingly drawn to startups, entrepreneurship, and the intersection of AI, data, and business innovation. I enjoy engaging with founders, operators, and builders solving meaningful problems. Always open to connecting with data professionals, AI builders, founders, and innovators - let's talk if you're working at the intersection of data, AI, and automation.

Location

Bangalore Urban

AI stack

claude code

claude

lovable

openai

ChatGPT

Microsoft Copilot

Work experience

Senior Analyst II AI-Driven ERP Package Applications at DXC Technology, Aug 2026 - Present · 2 mo, Greater Bengaluru Area, Clients: Ford · Daimler · HP · Rolls-Royce • Ford IOTA (FOTA/SOTA): Engineered OTA update pipelines -- manifest-wrapped binary provisioning for vehicle modules (TCU, SYNC3) across NA, EU and AU regions, serving 5M+ connected vehicles. • Rolls-Royce OCI Migration: Led end-to-end migration of ETL workflows from legacy MainFrame to Oracle + Bash on OCI, reducing maintenance overhead and improving deployment consistency across cloud environments. • Daimler DDEC Modernization: Led and mentored a cross-functional team through a full-stack mainframe-to-Oracle/Linux migration — owning automation, regression testing, and stakeholder alignment across business and engineering teams. • HP HWaaS (Parts Supply Chain): Identified and resolved pipeline bottlenecks using AWR/ASH reports and execution plan analysis, improving throughput for HP’s global parts supply chain. Served as Scrum Master, bridging engineering and business stakeholders. • HP iCost (BOM Cost Rollup, GenAI-Assisted): Identified a GenAI opportunity within a multi-pass PL/SQL cost rollup procedure (RUN_CALC_PR/CALC_PR) that risked a multi-day production rerun; applied LLM-assisted analysis to re-architect the logic with Bulk Collect/FORALL and MERGE-based processing, cutting the rerun to under 2 hours.

Senior Data Engineer at Tata Consultancy Services, May 2019 - May 2021 · 2 yrs 1 mo, India

Back End Developer at Red Grocer Retail Concepts, Jan 2016 - May 2019 · 3 yrs 5 mos, Chennai, Tamil Nadu, India, • Designed and maintained Oracle schema objects — tables, views, materialized views, sequences, synonyms, and indexes — for a multi-location retail platform. • Automated reporting and data loads using Shell scripts and Cron-scheduled jobs; built analytical queries using window functions, aggregates, and multi-table joins.

Education

Master's degree, Computer Science, Anna University Chennai

Bachelor's degree, Computer Science, Anna University Chennai

Public links

github: https://github.com/sharathprodev

Sharath K B

5+ years of work experience

Sharath’s AI Stack

Education