Manu Shukla

My career is centered on bridging the gap between advanced engineering and product strategy, specifically within the realm of Generative AI and autonomous systems. Currently, as an Associate Software Engineer at NEC India, I lead the development of multilingual GenAI systems for the banking sector, utilizing RAG (Retrieval-Augmented Generation) and Small Language Models to automate complex regulatory logging.

Key Professional Achievements

AI Agent Orchestration: I architected and deployed autonomous AI agents for grievance extraction, which increased operational efficiency by 30%.

System Architecture: I designed a sophisticated multi-agent architecture featuring Supervisor orchestration and DSE analysis to handle end-to-end delivery workflows.

Infrastructure Optimization: At Artiset, I engineered AWS Glue ETL workflows that saved 6–8 analyst hours per week and implemented security controls that improved system stability by 20%.

Technical Impact: I built automated validation pipelines that eliminated 40% of manual quality checks while maintaining high-security standards.

Projects & Technical Expertise

Scalable Analytics: I developed a real-time semantic search and empirical modeling platform capable of multi-step forecasting and causality analysis.

Deep Learning: I built a UNet-EfficientNetB7 model for medical imaging that achieved a 93% Dice score for brain tumor segmentation.

Stack: My core expertise includes Python, SQL, TypeScript, and LangChain, with deep experience in vector databases like ChromaDB and frameworks such as FastAPI and React.

Interests & Future Goals

I am deeply passionate about the "Design, Synthesis, and Exploration" (DSE) of AI agents . My primary interest lies in building next-generation AI-powered data products—specifically autonomous workflows that translate complex LLM capabilities into tangible business value.