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AI Engineer with 1+ years in Deep Learning & Machine Learning
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Assessing your cultural and operational fit
Junior AI/ML Engineer with a strong foundation in machine learning and deep learning and hands-on experience delivering reproducible prototypes and production components. Practical experience with PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, RAG/FAISS retrieval, embeddings, XGBoost and graph models (Node2Vec, GraphSAGE). Built and deployed REST inference endpoints using FastAPI/Flask, produced model checkpoints and evaluation reports (AUC/F1), and implemented data preprocessing, feature engineering, experiment tracking. Seeking a junior role to contribute to model development, deployment and performance monitoring.
NUML University, Islamabad
BS in Artificial Intelligence · Artificial Intelligence
August 1, 2022 – June 30, 2026
Askaria College, Rawalpindi
FSc · Pre-Engineering
June 1, 2019 – May 31, 2021
F.G. Sir Syed Boys Secondary School, Rawalpindi
Matriculation · Science
June 1, 2017 – May 31, 2019
Neuronix Technologies
AI/ML Intern
March 1, 2026 – Present
India
Codecelix NASTP
AI/ML Intern & Team Lead
November 1, 2025 – February 1, 2026
India
Dam Techhub
AI Intern
July 1, 2025 – August 1, 2025
India
WhatsApp Automation for Small Restaurants
January 1, 2025 – June 1, 2026
Built n8n workflows using the Gemini API and Google Sheets for order intake, templated confirmations, and status updates; implemented simple memory and runbook for deployment/testing.
Feedback Flow Final Year Project
January 1, 2024 – December 1, 2025
Designed Flask APIs, fine-tuned BERT for sentiment analysis, and implemented a Rasa conversational agent integrated with a Flutter frontend (Rasa REST, ngrok for testing). Built a FastAPI proxy to authenticate and forward messages between Flutter and Rasa; added in-app visualizations for analytics.
Graphic Designing (CorelDRAW, Photoshop, Illustrator, InGraph)
Axiom Institute
June 1, 2026 – Present
Data Science Foundations
Online MOOCs
June 1, 2026 – Present
Buildables Fellowship (DL/ML Track) - Completion Certificate
Buildables
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic final year projects to personal automation tools and multiple internships, indicates a proactive and curious mindset. Their involvement in a fellowship and various internships suggests a willingness to learn and adapt to different technical challenges. The target role of 'AI Engineer' aligns well with their demonstrated skills in model development, deployment, and system integration. The breadth of technologies and domains explored (biometrics, NLP, graph ML, voice AI) suggests a versatile individual who can contribute to diverse projects.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, and adaptability skills, as evidenced by their ability to resolve production issues and lead technical tasks. Their experience in coordinating team members and delivering reproducible artifacts suggests good operational fit for structured development environments. However, the resume does not provide explicit examples of communication or collaboration in a cross-functional setting beyond leading an intern team.