Hassan Huda

Passionate and results-driven AI Engineer with hands-on experience in Generative AI, Machine Learning, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Python Development through industry internships and production-oriented AI projects. Experienced in developing intelligent AI applications using Python, FastAPI, LangChain, Hugging Face, OpenAI APIs, ChromaDB, PostgreSQL, and REST APIs, while applying Object-Oriented Programming (OOP), Problem Solving, Software Development Life Cycle (SDLC), and AI Workflow Automation principles to build scalable enterprise solutions. Skilled in developing AI Agents, LLM Integrations, Prompt Engineering, Vector Databases, Semantic Search, Computer Vision, YOLOv8, Workflow Automation, REST API Development, and Cloud-Based AI Solutions using n8n, Zapier, Webhooks, and CRM Integrations.

Passionate about building production-ready AI systems, intelligent automation platforms, and next-generation Generative AI applications that solve real-world business problems.

AI-ML Intern - GJ Global IT Ventures

(2025-09 - 2026-05)

• Designed and developed enterprise-grade AI Workflow Automation systems using n8n, integrating Large Language Models (LLMs), WhatsApp Cloud API, Webhooks, and PostgreSQL to automate end-to-end business processes.
• Built a production-ready Retrieval-Augmented Generation (RAG) Study Assistant using FastAPI, LangChain, ChromaDB, Hugging Face Embeddings, and LLM APIs for intelligent document question answering.
• Developed an AI-powered Recruitment Management System with IMAP Email Integration, Resume Parsing, Natural Language Processing (NLP), automated candidate shortlisting, and analytical dashboards.
• Integrated multiple enterprise services including Zoho CRM, Google Calendar, REST APIs, and intelligent workflow automation to streamline customer engagement.
• Implemented vector databases, semantic search, prompt engineering, and AI-powered automation pipelines to improve operational efficiency.
• Collaborated with cross-functional teams in designing scalable AI applications while following Agile software development methodologies.

Machine Learning Intern - Acura Software Solutions

(2023-09 - 2024-02)

• Developed an AI-based Parking Slot Detection and Management System using YOLOv8, OpenCV, and Computer Vision techniques.
• Implemented real-time vehicle detection and parking slot monitoring using machine learning models.
• Optimized image preprocessing and object detection pipelines to improve model performance and prediction accuracy.
• Developed responsive web interfaces to visualize parking occupancy in real time.
• Performed testing, debugging, and optimization of AI models for reliable production performance.
• Collaborated with mentors to improve model accuracy and software architecture.

Master of Computer Applications - MCA - LEAD College of Management (Autonomous) (2026)

Bachelor of Computer Applications - BCA - University of Calicut (2024)