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Schedule Interview NowMy name is asheer a. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: AI Agent Development, Artificial Intelligence, Python, LLM Prompt, Retrieval Augmented Generation, etc.. I hold a degree in Bachelor of Engineering (BEng), Master of Science (MS). Some of the notable projects I've worked on include: MyHealthAgent.AI - An intelligent AI agent., Voice-Enabled Telegram Agent with AI Automation, Conversational Retrieval Assistant (voice + text), AI WebSmith - Intelligent Web Code Editor, Advanced-Data Engineering, etc.. I am based in Karachi, Pakistan. I've successfully completed 6 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
Main technologies
3 years
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1 Year
2 Years
Potentially possible
Tech Islands
MyHealthAgent.AI is an intelligent meal recommendation agent built with LangGraph and the Gemini API. It personalizes meals and exercises suggestions by capturing dietary needs, cuisine preferences, b
This project is a voice-enabled AI chatbot on Telegram built with automation in Make.com. When a user sends a voice message, it is transcribed via OpenAI, enriched with Airtable user data, and process
This project is a smart voice and text assistant that lets users query any document (PDF, Word, TXT). Files are processed into vector form using FAISS and sentence-transformer embeddings. An LLM (LLaM
AI WebSmith is an AI-powered web code editor designed for real-time coding with live preview and folder management. I integrated the Gemini API to provide a built-in chat assistant for dynamic code ge
This project analyzes traffic crash data from North America to explore how driver characteristics and vehicle attributes and conditions influence crash severity. The goal is to identify patterns that
Bachelor of Engineering (BEng) in
2015-01-01-2019-01-01
Master of Science (MS) in Data Science
2021-01-01-2025-01-01