Aleem A.

AI Engineer | Agentic AI & LLM Developer

Self Employed • Full-time

Jul 2025 - Present • 1 yr 1 mo

Designed and developed modern AI applications using Python, Generative AI, Large Language Models (LLMs), and Machine Learning to solve real-world business problems. Specialized in building intelligent AI systems, Agentic AI workflows, Retrieval-Augmented Generation (RAG) applications, AI chatbots, document intelligence solutions, and workflow automation using industry-standard frameworks. Worked extensively with LangGraph, LangChain, LlamaIndex, ChromaDB, FastAPI, React, and vector databases to develop scalable, production-ready AI applications. Built intelligent AI agents capable of multi-step reasoning, tool calling, memory management, and contextual decision-making through advanced workflow orchestration. Developed RAG-based applications that retrieve, process, and generate accurate responses from large document collections using semantic search and vector embeddings. Integrated LLMs with custom knowledge bases to create intelligent assistants for resume screening, agricultural advisory systems, document analysis, and business automation. Experienced in Computer Vision using YOLOv8 for object detection and image analysis. Built AI-powered solutions combining computer vision with LLMs to provide intelligent recommendations and automate decision-making processes. Skilled in designing REST APIs with FastAPI, integrating third-party AI services, optimizing AI workflows, implementing prompt engineering techniques, and developing responsive front-end interfaces using React. Strong understanding of software engineering principles, scalable system architecture, and clean, maintainable code. Passionate about delivering reliable, efficient, and business-focused AI solutions while continuously exploring the latest advancements in Agentic AI, Generative AI, autonomous agents, and intelligent automation.

pyhton data analyst and ML Developer

Freelancing Career • Freelance

Jan 2025 - Present • 1 yr 7 mos

I am a passionate Python Data Analyst and Machine Learning practitioner with hands-on experience in working on real-world datasets through personal and academic projects. I have successfully completed multiple projects involving data cleaning, preprocessing, and exploratory data analysis (EDA) using Python, NumPy, and Pandas. I have created clear and insightful visualizations using Matplotlib to help understand patterns and trends in data. In machine learning, I have built and tested models for classification and regression using Scikit-learn. I have worked on improving model accuracy through feature selection, tuning, and proper evaluation techniques. Some of my key achievements include: ✔ Successfully analyzing datasets and extracting meaningful insights ✔ Building reliable machine learning models for prediction tasks ✔ Writing clean, efficient, and well-structured Python code ✔ Completing multiple programming and problem-solving projects in Python and C++ I am continuously improving my skills and staying updated with new tools and techniques in data analysis and machine learning. My focus is on delivering accurate, high-quality work and providing solutions that meet client requirements. I am committed to professionalism, clear communication, and timely delivery in every project I take on.