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AI/Machine Learning Engineer with 6+ years in Deep Learning & NLP
AI & Machine Learning Engineer with strong expertise in Deep Learning, Natural Language Processing, Computer vision, Large Language Models, generative AI, and MLOps. Experienced in developing end-to-end ML solutions, from model training and fine-tuning to deployment in production environments using FastAPI, Streamlit Cloud and AWS. Research background in medical image analysis with multiple publications in international journals. Skilled at building AI applications, intelligent agents, and scalable ML pipelines.
University of Wah, Wah Engineering College Wahcantt
Bachelors of Science · Electrical Engineering
August 1, 2012 – June 30, 2016
Young Muslim Public School and College, Battagram (BISE Abbottabad)
Higher Secondary School Certificate · Pre-Engineering
June 1, 2010 – May 31, 2012
Young Muslim Public School and College, Battagram (BISE Abbottabad)
Secondary School Certificate · Science
June 1, 2007 – May 31, 2009
Freelancing Career
Freelancer
January 1, 2026 – Present
India
King Saud University
Remote Research Assistant
April 1, 2023 – Present
Saudi Arabia
KP Elementary and Secondary Education Department
Secondary School Teacher
January 1, 2019 – Present
India
AMARC Engineering and Construction Company Pvt Limited
Electrical Engr.
October 1, 2016 – January 1, 2019
India
RAG-based PDF Chatbot
January 1, 2026 – June 1, 2026
Developed an application that allows users to upload a PDF and chat with its content. Used LangGraph to design the workflow and LangSmith for monitoring and evaluation.
Smart Conversational Agent
January 1, 2026 – June 1, 2026
Built a Groq-powered chatbot with memory, threading, tool calling (DuckDuckGo, Wikipedia, Weather API), and SQLite database integration for chat storage.
Gemma 3 OCR App
January 1, 2026 – June 1, 2026
Built a Streamlit app using Google Gemma 3 via HuggingFace to extract structured text from PDFs and images with preview, OCR, and export options.
MNIST Neural Network (NN from Scratch)
January 1, 2026 – June 1, 2026
Built a three-layer neural network using NumPy, Pandas, and Matplotlib to understand core deep learning concepts without relying on TensorFlow or PyTorch.
Sentiment Analyzer using RoBERTa
January 1, 2026 – June 1, 2026
Built a Streamlit app using Hugging Face's ROBERTa model to classify text sentiment in real time with a simple, interactive UI.
MNIST Digit Reconstruction
January 1, 2026 – June 1, 2026
Built an encoder-decoder model with TensorFlow and Keras to reconstruct handwritten digits and visualize data compression in neural networks.
GitHub RAG Chatbot
January 1, 2026 – June 1, 2026
Built a Streamlit app that lets users chat with any GitHub repo or uploaded files using Groq LLMs, Hugging Face embeddings, and FAISS for fast, context-aware retrieval.
AI Resume Optimizer
January 1, 2026 – June 1, 2026
Built a Streamlit app using Groq LLMs, Hugging Face embeddings, and FAISS to analyze and optimize resumes with ATS keyword and experience enhancement suggestions.
AI Expense Tracker (MCP Server)
January 1, 2026 – June 1, 2026
Built a local FastMCP server connected to Claude Desktop for managing expenses with SQLite storage, featuring add, update, delete, summarize, graphing, and CSV export tools.
CBAM-Attention Gate-based U-Net model for Retinal Vessel Segmentation
Published paper
June 1, 2026 – Present
Quadrature Rules Based Enhancement in FFT Algorithm for Robust Phasor Estimation
Submitted paper
June 1, 2026 – Present
Ensemble Learning for Glaucoma Diagnosis Based on Optic Cup and Optic Disk Segmentation and Classification
Submitted paper
June 1, 2026 – Present
Deploy ML Model in Production with FastAPI and Docker
Udemy
January 1, 2025 – Present
AI Intern
Softech Digital Group
January 1, 2025 – Present
A Mobile Deep Learning Classification Model for Diabetic Retinopathy
International Journal of Imaging Systems and Technology
January 1, 2025 – Present
Generative AI Specialist
AnalytixCamp
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and research publications, demonstrates a strong passion for AI/ML and continuous learning. The transition from Electrical Engineering to AI/ML, coupled with ongoing freelancing and research, indicates adaptability and a proactive approach to skill development. The breadth of skills across various AI domains (CV, NLP, Generative AI) suggests a versatile individual who can contribute to different aspects of an AI team. The focus on practical applications and deployment aligns well with an industry-oriented role.
Soft Skills & Operational Fit
The candidate's experience as a teacher and research assistant suggests strong communication, collaboration, and mentoring skills. The freelancing work indicates self-motivation and an ability to manage projects independently. The research background implies a detail-oriented and persistent approach to problem-solving. These traits are valuable for a senior AI/ML role requiring both technical execution and team interaction.