Abhishek Vinod

Independent AI development and automation practice. Built and deployed production GenAI tools: RAG-based PDF Chat (LangChain, ChromaDB, Llama 3, Streamlit), n8n Daily Intelligence Digest pipeline, and Claude API-powered Briefing Tool (live on Gumroad). Developing a JD-Resume Gap Analyser via RAG on Hugging Face. Completing IIT Roorkee Applied Data Analytics & GenAI programme and a practical Agentic AI course (LangChain, LangGraph).

Strategy and business analysis consulting across financial services, healthcare, and technology verticals. Led a Vendor Due Diligence engagement end-to-end from scope definition and competitor benchmarking via expert calls to C-suite delivery. Built automated Excel financial models for an IPO readiness project, cutting review time by 80%. Designed AI-augmented research workflows using AI tools, reducing document processing time by 50%. Mentored junior analysts across multiple concurrent workstreams.

Gathered analytical requirements from the data science team and built Power BI dashboards and Excel reports tracking business KPIs. Extracted, validated, and cleaned datasets using Python (Pandas) and SQL to deliver analysis-ready data for business reporting and decision-making.

Business analysis and systems delivery across BFSI client programmes. Primary interface between business stakeholders and engineering teams — gathered requirements, authored functional specifications, and managed BRD reviews. Diagnosed a banking portal performance issue via root cause analysis. Coordinated Agile/Scrum teams using JIRA and Confluence.

MBA with Analytics specialisation covering data-driven decision making, business intelligence, statistical modelling, and AI applications in strategy.

B.Tech in Computer Science with foundations in software engineering, data structures, algorithms, and systems design.