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AI Engineer with less than a year in Machine Learning & NLP
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Assessing your cultural and operational fit
AI Engineer currently pursuing a Bachelor's in Artificial Intelligence with 4 months of internship experience. Proficient in designing ML pipelines, developing NLP and Computer Vision models, and building real-time detection systems. Skilled in Python, PyTorch, TensorFlow, and various AI/ML frameworks, with extensive project experience in areas like Human Activity Recognition, RAG Pipelines, and Email Reply Agents.
COMSATS University Islamabad, Attock Campus
Bachelor of Science · Artificial Intelligence
August 1, 2022 – June 30, 2026
EziTech Solutions
Machine Learning Intern
July 1, 2025 – October 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
RAG Pipeline
June 5, 2026 – Present
• Built a Retrieval-Augmented Generation system for document Q&A using vector embeddings and Pinecone for similarity search. • Retrieved relevant chunks are passed to an LLM for context-grounded responses, significantly reducing hallucinations.
Image Classification System
June 5, 2026 – Present
• Built a CNN-based image classification pipeline with data augmentation, batch normalization, and dropout regularization. • Used OpenCV for preprocessing (resizing, normalization, noise removal); validated generalization on unseen benchmark data.
Sentiment Analysis
June 5, 2026 – Present
• Classified customer reviews and social media text using TF-IDF, word embeddings, and ML classifiers (Logistic Regression, SVM, Naive Bayes). • Trained and compared models on a Kaggle dataset; achieved high F1-score and classification accuracy.
Human Activity Recognition (Final Year Project)
June 5, 2026 – Present
• Used LSTM to classify activities (walking, running, sitting, standing) and CNN + LSTM for heart rate estimation from sensor data. • Performed data preprocessing, noise filtering, and feature extraction; evaluated using accuracy, precision, and recall metrics.
Food Order Automation Agent
June 5, 2026 – Present
• Built a conversational restaurant assistant using n8n, OpenAI GPT, and Google Sheets; handles FAQs, menu display, and order placement. • Maintains session memory per conversation; frontend built with Lovable.app connected via webhook API.
Crypto AI Tracker
June 5, 2026 – Present
• Automated hourly crypto tracking for BTC, ETH, SOL, BNB, and ADA using n8n and CoinGecko API with UP/DOWN/STABLE signal logic. • Analyzed market data with Groq LLaMA-3.3-70b; saved results to Google Sheets and sent buy signals to Slack with Gmail error alerts.
Email Reply Agent
June 5, 2026 – Present
• Built an n8n workflow that fetches unread Gmail messages, generates professional replies using GPT-40-mini, and auto-sends them. • Logs sender name, email body, and AI response to Airtable; marks emails as read after processing.
Introduction to Artificial Intelligence
EziTech Solutions
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in practical AI applications, ranging from academic research (Human Activity Recognition) to personal automation agents (Email Reply, Food Order, Crypto Tracker). This diversity, coupled with an internship experience, suggests a proactive and curious individual who is eager to apply AI in various contexts. The focus on agentic AI and workflow automation aligns well with innovative, fast-paced environments. However, the lack of team-based project descriptions (beyond the internship) limits the assessment of collaborative cultural fit.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, and time management as soft skills. Project descriptions indicate an ability to work on diverse tasks and integrate different technologies, suggesting good problem-solving and operational execution. However, without direct assessment, the depth of these soft skills cannot be fully validated.