Shanu Kumar Manglam
GenAI Engineer building
I build retrieval-augmented generation systems, LLM agents, and workflow automation, with hands-on experience spanning AI engineering, data analytics, and cloud tooling.
My path runs from embedded systems and MATLAB control labs, through data analytics and BI, to AI engineering today — the throughline is picking up whatever stack a problem needs. Currently deepening AWS, GCP, Model Context Protocol (MCP), and LangGraph alongside day-to-day RAG and agent work.
Skill matrix
Practical tools and capabilities across AI engineering, cloud delivery, and data workflows.
Experience
Reverse-chronological progression showing a continuous evolution into applied AI, agent design, and enterprise data automation.
- Automated digital marketing workflows using Microsoft Copilot Studio and GitHub Copilot, reducing manual effort by approximately 30%.
- Engineered scalable ETL pipelines with Python and PySpark for large marketing datasets, improving reporting efficiency by 25%.
- Designed interactive dashboards integrating GA4, GTM, Adobe Analytics, and Looker Studio for campaign performance monitoring.
- Implemented LLM-based automation and prompt engineering workflows for content generation, summarization, and reporting.
- Collaborated within Agile teams using Git-based version control, following SDLC best practices.
- Developed predictive analytics models and BI dashboards using Python, SQL, and Power BI.
- Performed ETL, data cleansing, and transformation on structured datasets, improving reporting accuracy by ~20%.
- Created KPI dashboards enabling data-driven decisions across healthcare analytics projects.
- Presented analytical insights using data visualization and statistical analysis techniques.
Projects
Browse featured work and repositories synced from GitHub. Search by project, technology, or use case; closest keyword matches appear first.
Certifications & credentials
Featured credentials across Generative AI, Agentic AI, NLP, and cloud engineering — earned via Google Cloud, Skillsoft, and Accenture Academy.
Recognition & research
Vice Chancellor's Award for Best Scientific Mind
Awarded for outstanding innovation and research contributions in Artificial Intelligence, Machine Learning, and Electronics Engineering.
B.Tech, Electronics & Communication Engineering
University of Engineering & Management, Kolkata — CGPA 8.86 / 10.
Renewable Energy Trends for the Next Decade
Review paper on AI-driven renewable energy technologies, grid modernization, sustainable energy systems, and clean-energy policy.
Analysing CO₂ Emission from Vehicles Using Machine Learning
Developed and evaluated ML models predicting vehicular CO₂ emissions, supporting sustainability analytics and SDG 13 (climate action).
Contact
Open to GenAI Engineering, AI Engineering, and Applied ML roles. Reach out through any preferred channel below.