From Data to Intelligence
Crafting intelligent applications powered by Machine Learning, Deep Learning, and Generative AI. Transforming complex data into actionable solutions.
About Me
I'm Atifa Nawaz, an AI Developer passionate about building intelligent systems that solve real-world problems. I specialize in Machine Learning, Deep Learning, Generative AI, and AI-powered automation, with experience developing AI applications in NLP, Computer Vision, RAG, and multi-agent systems. I'm passionate about turning innovative ideas into practical, scalable AI solutions.
AI/ML Expertise
Specializing in Machine Learning, Deep Learning, and Generative AI with hands-on experience building production-ready systems.
Full Stack Development
Proficient in Python, TensorFlow, LangChain, and modern frameworks for building intelligent, scalable applications.
Real-World Solutions
Transforming complex data into actionable intelligence. Building RAG systems, chatbots, and adaptive AI solutions.
Experience
Industry AI/ML Internships
Data Science Intern
10Pearls
April 2026 - June 2026
- •Assisted in building an AQI forecasting model using XGBoost and time-series features, supporting API integration, SHAP explainability, and dashboard development
- •Implemented and evaluated Random Forest and SVM classifiers alongside Decision Tree, KNN, and Logistic Regression with preprocessing and cross-validation
AI/ML Intern
Trust Nexus
February 2025 - May 2025
- •Built an LLM-powered RAG application using LangChain, FAISS, and LLaMA 3 for citation-aware Q&A over PDFs, DOCX files, and research papers
- •Designed document parsing, embedding, and semantic retrieval pipeline for accurate, verifiable responses
- •Built an AI chatbot using Google Gemini API with prompt engineering for context-aware, real-time responses
Featured Projects
Intelligent applications built with cutting-edge AI/ML technologies
AceSAT – Multi-Agent Adaptive SAT Tutor
July 2026 - Present
AI-powered adaptive SAT tutor with hierarchical multi-agent architecture, Bayesian Knowledge Tracing, and adaptive diagnostics.
TECHNOLOGIES
KEY FEATURES
- •Hierarchical multi-agent architecture with Planner, Orchestrator, and Specialist Agents
- •Bayesian Knowledge Tracing (BKT) and Knowledge Graph integration
LLM-Powered RAG Application
February 2025 - May 2025
Citation-aware Q&A system over PDFs, DOCX files, and research papers using LangChain, FAISS, and LLaMA 3.
TECHNOLOGIES
KEY FEATURES
- •Document parsing for PDFs, DOCX, and research papers
- •Semantic retrieval pipeline with FAISS indexing
Argus – Autonomous Multi-Agent Incident Response
July 2026 - Present
Production-grade autonomous incident response and root-cause analysis platform with adversarial self-verification and guardrail-enforced safety.
TECHNOLOGIES
KEY FEATURES
- •Five-agent orchestration pipeline with ReAct-style tool-use and finite-state-machine lifecycle
- •Adversarial skeptic agent for independent evidence verification and hypothesis falsification
Skills & Tech Stack
A comprehensive toolkit for building intelligent systems
AI & Machine Learning
Programming
Frameworks & Libraries
Databases & Tools
Professional Skills
Key Strengths
Expertise
Advanced proficiency in machine learning, deep learning, LLMs, and production-ready AI systems
Experience
Hands-on experience with RAG systems, multi-agent architectures, semantic search, and adaptive AI
Education
Building a strong foundation in computer science and AI
Bachelor of Science in Computer Science
Bahria University, Karachi
2022 - 2026
GPA: 3.8/4.0
✓Pursuing a degree in Computer Science with focus on AI and Machine Learning
✓Strong academic performance with consistent excellence
✓Engaged in hands-on projects and research initiatives
Academic Focus Areas
Artificial Intelligence
Deep learning, neural networks, and intelligent systems design
Machine Learning
Supervised and unsupervised learning, feature engineering, model optimization
Data Science
Statistical analysis, data visualization, and predictive analytics
Certifications
Professional certifications demonstrating expertise in cutting-edge technologies
Data Analysis with Python
IBM
June 2025
Introduction to Deep Learning & Neural Networks with Keras
IBM
July 2025
Generative AI Advance Fine-Tuning for LLMs
IBM
July 2025
Achievements
Milestones and accomplishments in building intelligent systems
Competition
Machine Learning Hackathon Winner
Winner demonstrating strong problem-solving and practical AI/ML development skills
Competition
Query Quest – 1st Position
1st Position in technical problem-solving competition
Competition
Techathon 3.0 – Top 10
Selected among top 10 teams out of 60 participating teams
Education
HEC Generative AI Course – Top Performer
Recognized for outstanding performance in Generative AI-focused program
Experience
Industry AI/ML Internships
Completed internships at Trust Nexus and 10Pearls with expertise in AI, ML, Generative AI, RAG, and LLMs
Community
Shaukat Khanum Volunteer
Active volunteer at Shaukat Khanum Memorial Cancer Hospital Summer Volunteer Programme 2026
5+
Competitions Won
2
Internships
3
IBM Certifications
3.8
GPA
Get In Touch
Have a project in mind or want to collaborate? I'd love to hear from you!