We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Muhammad Zohair B. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Image Processing, etc.. I hold a degree in Master's degree, Bachelor of Science (BS). Some of the notable projects I've worked on include: AI Medical Charting in Encounter, GenCapita, AI Chatbot for Strikeo, Auto-Takeoff, GMALT. I am based in Lahore, Pakistan. I've successfully completed 5 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
Main technologies
3 years
2 Years
1 Year
1 Year
Potentially possible
Machine Learning 1 Limited
AI Integration in EHR uses AWS Transcribe or HealthScribe for real-time audio capture and transcription of clinician-patient conversations. It leverages OpenAI to process audio recordings, generating
GENiE is an AI-powered assistant embedded in the GenCapita platform to enhance user decision-making and engagement. Built with Python, LangGraph, AWS, custom search, stock APIs, and news integration,
Strikeo's AI chatbot, developed with Python, LangGraph, semantic search, VectorDB, and RAG, revolutionizes online shopping. It provides users with personalized, real-time assistance by delivering smar
Auto-Takeoff is an AI-driven solution that automates the construction takeoff process. It ingests and segments plans from PDFs or CAD files, detecting rooms, walls, and structural elements. Using OCR,
In the GMALT project, I led the AI efforts by testing different models to find the best fit for generating custom coloring templates. I gathered and processed large datasets, developed algorithms for
Master's degree in Computing and Data Science
Bachelor of Science (BS) in
2018-01-01-2022-01-01