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Schedule Interview NowMy name is Talha T. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Neural Network, Computer Vision, AI Bot, AI Model Development, AI Model Training, etc.. I hold a degree in High school degree, Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Amazon Vendor Central EDI Automation, Rag based chatbot with n8n, Real Time AI Attendance using Facial Recognition, AI Chatbot with RAG, AI Voice Cloning, etc.. I am based in Lahore, Pakistan. I've successfully completed 6 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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Handling Amazon orders used to involve a labor-intensive process, requiring manual entry of product quantities and constant tracking of expiry dates. With orders containing thousands of items, complet
Developed a RAG-based chatbot using n8n, integrating retrieval-augmented generation for accurate and context-aware responses. Automated data retrieval, processing, and AI-driven interactions to enhanc
Requirement : I was required to build an AI attendance system using Facial Recognition of Employees for a company. Solution ; I used a state of the art Facial Recognition Library which allowed me to
Created an AI chabot using GPT 3.5 Turbo, which used RAG (Retrieval Augmented Generation) to to train on custom data and then answers questions from that Data in real time. Any other Local LLM can al
Goal: Developing an AI Voice Cloning system locally Contribution: I developed the entire system by myself as this was a side project I did. Outcome: I made use of Tortoise TTS for this project wh
High school degree in
2017-01-01-2019-01-01
Bachelor of Engineering (BEng) in
2019-01-01-2023-01-01