Syed Abdullah Rohaan
AI Engineer and Backend Developer with hands-on experience in building AI-powered applications, Retrieval-Augmented Generation (RAG) systems, and scalable backend architectures. Skilled in Python, FastAPI, Generative AI, vector databases, NLP workflows, and LLM integrations. Experienced in developing real-world projects involving semantic search, agentic AI systems, multimedia processing, and automation workflows. Strong background in problem-solving, API development, AI research, and teaching, with practical exposure to modern AI engineering tools and production-style application design. Passionate about building intelligent systems that combine AI capabilities with scalable software engineering practices.
Work by Syed Abdullah Rohaan
- Multilingual Video Enhancement System using Python
Developed an AI-powered Multilingual Video Enhancement System using Python that automates speech extraction, transcription, translation, subtitle generation, and video enhancement for multilingual accessibility. The project integrates speech recognition, NLP, audio/video processing, and subtitle…
- Agentic RAG System Project
Developed a production-style Agentic RAG (Retrieval-Augmented Generation) system using FastAPI, ChromaDB, Sentence-BERT embeddings, and Groq-hosted Llama 3.3 70B LLM. Built a modular AI assistant capable of semantic document retrieval, session-based conversational memory, and intelligent…
- Salesforce Validation Manager
Developed a full-stack web application that integrates with Salesforce via OAuth 2.0 to manage validation rules on the Account object in real time. The application allows users to securely authenticate with their Salesforce org, fetch all validation rules using the Salesforce Tooling API, and…