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Schedule Interview NowMy name is Saim M. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Python, Artificial Intelligence, Natural Language Processing, Deep Learning, ChatGPT, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Multi-Purpose RAG Chatbot, Local RAG Chatbot with Langchain, DeepSeek-R1 and ChromaDB, Real Estate CRM with Lead Tracking & Smart Integrations, Yolo V8 Object Detection, MODE MATE ,Your AI Companion. I am based in Miami, United States. I've successfully completed 5 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
Main technologies
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IKONIC DEV
This is a versatile chatbot that allows users to provide a knowledge base through various mediums such as PDF, DOC, and CSV files, as well as URLs and audio inputs. For document-based inputs (PDF/DOC/
I have worked on a Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, ChromaDB, and LangChain. It provides responses based on document embeddings stored in ChromaDB for two knowledge
I built this CRM for real estate pros who want an easier way to track and qualify leads from first inquiry to closing. It’s got a clean dashboard, real-time graphs, and smart integrations with Salesfo
In this project, I finetuned a Yolo v8 model in order to detect upto 6 classes: Car, Pedestrians, Bicycle, Stopper, Bike, Sign Board. I used Ultralytics Yolo V8, tensorflow for finetuning and stream
Mood Mate is an AI-powered chatbot designed to understand and respond to users’ emotions. It uses Natural Language Processing (NLP) to interpret messages and sentiment analysis to detect mood, offerin
Bachelor of Computer Science (BCompSc) in
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