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Generative AI Engineer with 3+ years in AI/GenAI & Data Engineering.
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Engineer with 2+ years of experience in data engineering and software development, now transitioning into Generative AI. Proficient in Python and REST APIs with hands-on exposure to LLM integration, prompt engineering, and building AI-powered workflows. Experienced in cloud platforms (Azure), ETL pipelines, and API testing — skills that directly transfer to designing and deploying LLM-based applications and RAG pipelines. Eager to apply analytical thinking and a strong engineering foundation to build intelligent chatbots, AI agents, and vector-database-backed solutions at Polluxa.
IIST Indore
Bachelor of Technology · Information Technology
August 1, 2018 – June 30, 2022
Wipro
Project Engineer
May 1, 2024 – Present
Pune, Maharashtra, India
Keen Solution
Data Engineer Intern
January 1, 2023 – April 1, 2024
Indore, Madhya Pradesh, India
AI-Ready Data Pipeline — E-Commerce Database Optimization
June 1, 2026 – Present
Optimized a SQL Server e-commerce database using indexes, views, bucketing, and horizontal partitioning, creating a performant data layer suitable as a backend for AI-driven applications. Implemented functions and triggers for automated data transformations, a skill transferable to building AI workflow pre/post-processing steps.
Multi-Source Data Migration to Centralized Data Warehouse
June 1, 2026 – Present
Built SSIS packages to migrate data from Excel, CSV, SQL, MySQL, and MongoDB into a unified SQL Server data warehouse — experience directly applicable to constructing data ingestion pipelines for LLM knowledge bases and RAG systems. Scheduled and automated Azure Copy Activity pipelines (daily/weekly/monthly), demonstrating ability to deploy and manage production AI data workflows.
BI Dashboard for Manufacturing Product Backlog
June 1, 2026 – Present
Translated complex business logic into DAX measures and Power BI data models, showcasing the analytical and problem-solving abilities essential for prompt engineering and building AI reasoning workflows.
Databricks Certified Data Engineer Associate
Databricks
June 1, 2026 – Present
Microsoft Certified Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from BI dashboards to data migration and database optimization, shows a broad interest in data-centric problems. The explicit mention of transitioning into Generative AI and learning relevant technologies (LangChain, Vector Databases) aligns well with a target role in a dynamic AI environment. The experience in Agile teams further supports cultural fit for collaborative development.
Soft Skills & Operational Fit
The candidate's experience in collaborating with cross-functional Agile teams and maintaining clean, documented code suggests good teamwork and operational fit. The ability to translate complex business logic into technical solutions (DAX measures) indicates strong problem-solving and analytical skills, which are valuable for prompt engineering and AI reasoning workflows.