Prakhar Srivastava

• Built Python/OpenAI AI agents with RAG and VLMs to audit M&A reports, finding numeric, semantic and visual issues across text, charts and appendices. • Used Azure AI Foundry/OpenRouter to route LLMs for cost, latency and accuracy; deployed with Git, Azure DevOps and Azure. • Applied responsible AI, prompt engineering and M&A risk knowledge to deliver stakeholder-ready AI/ML apps. • Audited ETL/Airflow pipelines turning client sales/profit data into Tableau .hyper dashboards and documentation.

• Gained foundational knowledge in VAPT, Networking, Cloud Security, Infrastructure Security, IAM, and Mi- crosoft Defender for Endpoint. • Acquired hands-on experience with Kali Linux, a specialized operating system for penetration testing and security auditing

Relevant Coursework: Machine Learning, Computer Vision, Natural Language Processing, AI Planning, Statistics, Neural Networks, Human Computer Interaction, Data Networks

• Cumulative Grade Point Average - 8.56/10 • Relevant Coursework: Linear Algebra, Predective Data Analytics, Database Systems, Object-Oriented Programming, Embedded Systems, Computer Vision, Ethics and Psychology etc. • Thesis: “Improved Neural Network based Modeling for Wind Speed Prediction in the Indian Ocean Region”