I’m an AI Engineer specializing in building intelligent, production-ready systems powered by Machine Learning, Deep Learning, NLP, and LLMs. With a strong foundation in Artificial Intelligence from the University of Management and Technology, I’ve worked on end-to-end AI pipelines—from data preprocessing and model training to deploying scalable applications using FastAPI, Flask, and AWS.
My professional experience includes roles at Solutycis (Pvt) Ltd and PureVi Tech Inc, where I designed and deployed real-world ML and LLM-based solutions. Some of my major contributions include:
Bank Document Analyzer:
Built a complete OCR → Translation → LLM Summarization workflow using Groq & GPT models, with automated risk detection and multi-file processing capabilities.
RAG & LLM Chatbots:
Developed intelligent chatbots using OpenAI models, FAISS/Pinecone vector search, and LangChain to provide accurate, context-aware responses from internal datasets.
Machine Learning & Deep Learning Systems:
Implemented predictive models (LogReg, SVM, Decision Trees) and deep learning architectures using TensorFlow and PyTorch for image, text, and time-series tasks.
Backend Development & Deployment:
Created robust AI backends using Python, FastAPI, and Streamlit, deployed on AWS EC2 and Lambda for real-time, scalable inference.
I’m passionate about transforming unstructured data into actionable insights, building LLM-powered assistants, and creating AI-driven automation that improves business workflows.
Always eager to explore new tools, work on challenging problems, and push the boundaries of applied AI.