About
Innovative AI and automation engineer with hands-on experience building Generative AI workflows, RAG applications, LLM integrations, and enterprise platform automations. Experienced in translating complex business processes into scalable automated workflows with measurable efficiency gains.
Experience
-
Engineer - Applications, Platforms & AutomationBrillioMar 2024 – Dec 2024
Designed, configured, and deployed 15+ ServiceNow service catalog workflows using JavaScript and platform orchestration. Engineered custom Python REST API wrapper scripts to bridge external enterprise platforms with ServiceNow, automating cross-system data validation and data exchange. Integrated automated workflow triggers and error-handling logic, cutting manual operational ticket backlogs by 30% and end-user execution errors by 25%. Conducted hypercare monitoring, operational support, and root-cause analysis for enterprise platform stability.
-
AI Solutions & Software InternAaludra TechnologiesDec 2020 – Jul 2021
Developed backend Python and SQL data-ingestion scripts to clean, format, and structure unstructured transactional data for AI/ML pipeline readiness. Implemented database queries and automated validation logic to ensure data integrity across remote database schema models. Monitored continuous-integration data flows and used Linux shell scripting to analyze server execution logs and resolve backend system defects.
Education
-
2023
Postgraduate Certificate in Advanced Computer ScienceComputer Science · Sep 2021 – Jan 2023
-
2020
Bachelor of TechnologyGRIETComputer Science · Jul 2016 – Nov 2020
Skills
Tools / apps / platforms
Projects
-
Automated Multi-User Scheduling PlatformJavaScript, PHP, SQL, Relational DB
Developed a full-stack automated workflow application using custom relational database logic to resolve multi-user scheduling constraints without human intervention.
-
Industrial Workflow & Real-Time Parameter Automation EnginePython, SQL, REST APIs, Automation Frameworks
Developed an automated data-ingestion and monitoring engine modeled after industrial operational pipelines; designed real-time parsing and automated error-checking modules, reducing data-ingestion parsing inconsistencies by 20%.
-
Enterprise Document QA & Context Insights AgentPython, GenAI, LangChain, VectorDB, REST APIs
Architected an end-to-end RAG platform using Python and Vector DBs to parse multi-format enterprise documents; integrated LLMs with custom prompt templates for semantic search, reducing manual content retrieval time by 70%.