Professional Overview
I am Khaleelur Rahman, a B.Tech graduate in Artificial Intelligence and Data Science from Rajalakshmi Institute of Technology. I have 1.5+ years of experience as an AI/ML Developer, working on Generative AI, RAG systems, computer vision, speech-to-text solutions, and FastAPI applications. I am passionate about building practical AI solutions that s
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Analyzed customer data and built audience segmentation models
- Developed GenAI features for personalized marketing campaigns
- Integrated LLM-based solutions into the RESUL platform
Key Achievements / KPIs
- Delivered GenAI features for personalized customer engagement
- Improved audience targeting through data segmentation models
- Contributed to real-time marketing intelligence solutions
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and deployed AI/ML solutions for face recognition, video analytics
- Developed deep learning models using PyTorch and TensorFlow for real-time events
- Designed video processing pipelines for RTSP streams, event detection.
- Integrated RAG and LLM-based chatbot solutions with FastAPI backend services
- Collaborated with cross-functional teams to deliver scalable, production Systems
Key Achievements / KPIs
- Built production AI solutions for face recognition and video analytics
- Developed 20+ real-time detections for surveillance systems
- Delivered end-to-end AI projects from development to deployment
Education
Field of Study: Artificial Intelligence & Data Science
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
