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Schedule Interview NowMy name is Vishal S. and I have over 2 years years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Data Science, Deep Learning, Chatbot Development, n8n, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Satellite Image Classification with Vision Transformers, Smart Bank Chatbot: Secure AI with Finetuned Model, RAG & Guardrails, Car Detection using Ultralytics YOLOv11, Social Media Content Generation Automation with n8n, Plant Disease Detector, etc.. I am based in Islamabad, Pakistan. I've successfully completed 10 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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This project developed a Vision Transformer model to classify satellite images for Amazon deforestation monitoring. We achieved strong performance, as evidenced by the F-beta scores (around 0.85) and decreasing loss.
AI-powered banking chatbot, featuring domain-adapted finetuning for specialized expertise, Retrieval-Augmented Generation (RAG) for accurate answers, and robust guardrails for secure, safe interactions.
This project demonstrates object detection on car images using the YOLO (You Only Look Once) model. It involves data preprocessing, model training, and object detection with YOLO.
Social Media Content Generation Automation
Deep learning model using MobileNet to classify 38 plant diseases with 96%+ accuracy. Ideal for smart agriculture apps.
Bachelor of Engineering (BEng) in Software Engineering