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Schedule Interview NowMy name is Azam S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning Model, Computer Vision, Deep Learning, Data Analytics & Visualization Software, etc.. I hold a degree in Bachelor's degree, Bachelor's degree. Some of the notable projects I’ve worked on include: Flights Cost Analysis Automation in N8n, Multimodal Retrieval Augmented Generation, AI Assistant with Contextual Memory & Real-Time Data Visualization, Supervised Multi-Agent Workflow: ReactJS, FastAPI, and AI Integration, SQL Query Voice Assistant, powered by RAG LLM and OpenAI Whisper!, etc.. I am based in Islamabad, Pakistan. I've successfully completed 9 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
2 years
1 Year
1 Year
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Potentially possible
Systems Limited
This project is designed to handle several complex tasks, including cost analysis using the Google Flights API and retrieving airport data via the Eurotate Database API. It integrates multiple functionalities to ultimately generate two Google Sheets files—one containing detailed airport cost data and the other featuring comprehensive flight information.
Multimodal Retrieval-Augmented Generation (RAG) and Multimodal Search system, leveraging Weaviate and the Cohere API! 🌐 ✨ Key Features: 🔍 Text-to-Media Search: Seamlessly retrieve images, videos, and more with textual queries. 🖼️ Image-to-Media Search: Start with an image and find the most relevant media across datasets. 🧠 Text-to-Image RAG: Generate contextually relevant images from textual inputs for enhanced insights. This solution bridges the gap between modalities, offering innovative possibilities for content discovery and AI-driven insights
Built an AI assistant using LangGraph that retains conversation context across sessions, stores chats in a PostgreSQL database with unique thread IDs, and offers real-time data visualization (pie, bar, area charts). Integrated with a minimal React UI, connected via FastAPI for smooth performance. Includes tools for data retrieval and visualization, enhancing user experience.
Built a supervised multi-agent workflow backend using LangGraph, seamlessly integrated with a ReactJS frontend via FastAPI. Utilized OpenAI's API for intelligent workflows and ElevenLabs for text-to-speech. Thrilled with the powerful results and the potential of generative AI!
This innovative assistant combines advanced language models with state-of-the-art voice recognition to provide seamless, real-time SQL query generation and data retrieval. Speak your query, and let the assistant do the rest!
Bachelor's degree in
2005-01-01-2019-01-01
Bachelor's degree in
2020-01-01-2024-01-01