Hey, I’m Armaghan
{AI/ML Engineer} Cloud Solutions Architect & Research Enthusiast_
<p>Passionate about building intelligent systems with expertise in Python, TensorFlow, PyTorch, AWS, Azure, and Generative AI. Currently pursuing BS Software Engineering with 3.85 CGPA and actively contributing to research in Agentic AI and explainable ML systems.</p>
Designing solutions
customized
to meet your requirements
Machine Learning & AI Solutions
Developing intelligent systems using TensorFlow, PyTorch, Scikit-learn, MLflow, SageMaker, and advanced techniques like Agentic AI, explainable ML, and RAG architecture.
Cloud Solutions & AWS Services
Designing and managing scalable cloud infrastructure with AWS (EC2, S3, Lambda, RDS, CloudFormation), Microsoft Azure, containerization with Docker and Kubernetes, and serverless architectures.
Generative AI & LLM Solutions
Building next-generation AI applications with OpenAI API, Anthropic Claude, LangChain, LangGraph, Hugging Face, and custom LLM implementations with fine-tuning capabilities.
DevOps & CI/CD Automation
Streamlining development workflows with Docker, Kubernetes, Jenkins, Terraform, GitHub Actions, and Git for efficient CI/CD pipelines and Infrastructure as Code.
Data Engineering & Analytics
Processing large datasets using Apache Spark, Airflow, Vector Databases, MySQL, PostgreSQL, Supabase, and advanced data pipeline architectures on AWS.
Specialized Tools & Platforms
Photoshop, Jupyter Notebooks, VS Code, Postman, Deepgram (STT), Cartesia (TTS), LiveKit, Streamlit, Gradio, Weights & Biases, TensorBoard
Excited to take on new projects and collaborate.
Let's chat about your ideas. Reach out!
My Work Experience
Prompt Engineer and AI Trainer - Outlier AI
- Trained AI models by creating and curating high-quality datasets for programming problems in Python, focusing on code quality and performance optimization.
- Analyzed AI model performance metrics and provided detailed feedback to engineering teams for iterative improvements in model accuracy and response quality.
- Developed comprehensive evaluation frameworks for assessing AI-generated code solutions across multiple programming paradigms.
Teaching Assistant - UMT
- Supported instructors in delivering course content for Computer Networks, Database Systems, Natural Language Processing, and Programming Fundamentals to 200+ students.
- Facilitated interactive study sessions and peer tutoring programs, improving student comprehension rates by 25% in complex technical subjects.
- Mentored students in advanced topics including OOP, Data Structures, and NLP, resulting in improved academic performance and research engagement.
Co-Ambassador - WiDS Datathon 2025
- Represented Women in Data Science (WiDS) for the 2025 Datathon, achieving Top 20 position among 1200+ participating teams globally.
- Organized workshops at university to promote women's participation in Data Science competitions, increasing female participation by 40%.
Education
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2021-Present:
University of Management and Technology, LahoreBS Software Engineering (CGPA: 3.85/4.0)
- Awarded Rector's and Dean's Merit Award three times for academic excellence
- Submitted two research papers for review and publication in AI and ML domains
- Teaching Assistant for NLP, Programming Fundamentals, Database Systems, Computer Networks, and Advanced Networks
- Selected as AI Solutions Architect for exclusive university AI projects
- Peer tutored students in NLP, OOP, and Data Structures with improved learning outcomes
- Active member in research initiatives and academic committees
Leadership & Activities
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Apr 2025 – Present:
Co-Ambassador, WiDS Datathon 2025Achieved Top 20 position among 1200+ participating teams globally. Organized workshops to promote women's participation in Data Science competitions in Pakistan.
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Mar 2023 – Jun 2024:
PIAIC Certified Cloud Applied Generative AI EngineerGained expertise in generative AI tooling with hands-on experience in deploying and managing AI solutions.
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Jan 2024 – Apr 2024:
Aspire Leaders ProgramEnhanced skills in team leadership, organization, and analytical problem-solving through intensive leadership development.
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Jun 2022 – Sep 2022:
Harvard CS50's Introduction to Computer ScienceDeveloped practical experience with programming languages such as C, Python, and JavaScript.
Professional
Certifications
& Achievements
AZ-900: Microsoft Azure Fundamentals
Microsoft certified in Azure cloud fundamentals, covering cloud concepts, Azure services, security, privacy, compliance, and trust.
AWS Certified Solutions Architect
Amazon Web Services certification demonstrating expertise in designing distributed systems and scalable cloud architectures.
Microsoft Office Certified Professional
Professional certification in Microsoft Office suite, demonstrating advanced skills in productivity and business applications.
PIAIC Certified Cloud Applied Generative AI Engineer
Certified in generative AI tooling with hands-on experience in deploying and managing AI solutions on cloud platforms (Mar 2023 – Jun 2024).
Harvard CS50's Introduction to Computer Science
Completed Harvard University's renowned computer science course covering programming fundamentals, algorithms, and data structures (Jun – Sep 2022).
Aspire Leaders Program Graduate
Completed leadership development program focusing on personal and professional growth, team leadership, and analytical problem-solving (Jan – Apr 2024).
My Recent Works
Agentic Credit Card Fraud Detection System (Final Year Project)
Engineered an agentic AI framework to detect credit card fraud, achieving an 82% PR AUC score on the IBM fraud dataset. Improved the F1 score by 11% from base AI model using novel AI framework. Authored a research paper introducing an explainability framework for enhanced transparency in fraud detection (currently under review).
Automated Campus Timetable Generation System (UMT Sponsored)
Developed and engineered a sophisticated algorithm for generating conflict-free academic timetables across the university campus. Successfully deployed the system into production, automating the allocation of 200+ rooms and labs for over 25,000 students, eliminating manual intervention. Significantly improved scheduling efficiency and resource utilization.
AI Digital Avatar - Voice-Based Conversational Agent
Architected and developed a real-time voice-based AI avatar system enabling natural human-like conversations through advanced speech processing technologies. Implemented fully customizable voice agent with seamless integration of STT (Deepgram), LLM (OpenAI 4o), and TTS (Cartesia). Built scalable WebRTC infrastructure using LiveKit for low-latency audio streaming.
Chest X-Ray Pneumonia Detection (Research)
Implemented novel machine learning architecture to analyze and classify X-ray scans with 94.5% accuracy, achieving 3.5% better results than existing literature experiments. Integrated the AI model into a web application for detecting pneumonia in user-uploaded chest X-ray images with an intuitive user interface. Authored a research publication on key findings (currently under review).
UMT Hiring Assistant (AI-based Resume Screening)
Created a generative AI tool for resume screening utilizing advanced RAG (Retrieval-Augmented Generation) architecture. Streamlined the recruitment process by automating resume evaluation and shortlisting based on cosine similarity algorithms. Enhanced efficiency in identifying qualified candidates through AI-driven insights and natural language processing.
My Skills
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Programming Languages:
Python, Java, HTML/CSS, JavaScript, SQL, C, C++, TypeScript -
AI/ML Frameworks & Tools:
TensorFlow, PyTorch, Scikit-learn, Keras, OpenAI API, Groq, MLflow, AWS SageMaker, Hugging Face Transformers, Generative AI (RAG Architecture), Agentic AI, Computer Vision, NLP -
LLM & AI Tools:
LangChain, LangGraph, Vector Databases, Hugging Face, OpenAI GPT-4, Natural Language Processing -
Cloud Platforms & Services:
Amazon Web Services (AWS EC2, S3, Lambda, RDS, SageMaker, CloudFormation), Microsoft Azure (Functions, Cognitive Services), Google Cloud Platform, Serverless Computing -
DevOps & Infrastructure:
Docker, Kubernetes, Jenkins, Git/GitHub, CI/CD Pipelines, Terraform, Infrastructure as Code, GitHub Actions, GitLab CI, AWS CloudFormation -
Databases & Storage:
MySQL, PostgreSQL, MongoDB, Supabase, Vector Databases (Pinecone, Weaviate), Redis, Amazon RDS, DynamoDB, Neo4j, ClickHouse -
Web Technologies:
React, Next.js, Node.js, FastAPI, Flask, RESTful APIs, WebRTC, WebSockets -
Data Engineering & Analytics:
Apache Spark, Apache Airflow, Kafka, ETL/ELT Pipelines, Data Warehousing, AWS Glue, Amazon EMR, BigQuery, Snowflake, Pandas, NumPy -
Specialized Tools & Platforms:
Photoshop, Jupyter Notebooks, VS Code, Postman, Deepgram (STT), Cartesia (TTS), LiveKit, Streamlit, Gradio, Weights & Biases, TensorBoard