Aleena masood

Aleena masood

Artificial Intelligence Student & Software Intern specializing in RAG pipelines and Generative AI.

Based in: Lahore, PakistanMost recently: Software Intern, Logic Silicon

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Artificial Intelligence student with industry experience in developing end-to-end applications involving LLMs, multi-agent systems, and computer vision. Proven expertise in building real-time data processing platforms and distributed inference environments using modern AI frameworks.

Experience

Software Intern

Logic Siliconinternship

Summary

Worked on practical software and AI engineering projects involving Retrieval-Augmented Generation (RAG), LLM inference, and distributed computing. Developed and experimented with PDF-based RAG pipelines for document processing, semantic retrieval, and LLM-powered question answering. Worked with Llama.cpp and Llama 3.2 1B Instruct (GGUF) to explore local LLM inference and distributed inference across multiple machines. Configured a distributed computing environment using Tailscale to enable communication between systems for remote inference workloads. Explored AI hardware and inference architectures, including CPU, GPU, TPU, and NPU, and their roles in AI workloads. Worked with YOLO11n for road-damage detection, including model training and experimentation on datasets containing potholes and different types of road cracks. Gained practical experience in Linux, networking, model deployment, debugging, and AI system development.

What I did

  • Explored using Tailscale to connect machines and llama.cpp RPC to distribute inference workloads.
  • Built a distributed inference setup using llama.cpp with the Llama 3.2 1B Instruct model in GGUF format.
  • Established network connectivity between Windows laptops using Tailscale to explore llama.cpp RPC functionality for distributed execution.
Retrieval-Augmented Generation (RAG)LLM inferenceDistributed computingLlama.cppLlama 3.2 1B Instruct (GGUF)TailscaleCPUGPUTPUNPUYOLO11nLinux

Skills

Technical

LLM Integration
RAG
PythonPython
Multi-Agent Systems
Semantic Search
PyTorchPyTorch
Transformers
NLP
Computer Vision
YOLOv8
Pandas
Hugging Face
OpenCVOpenCV
Tailscale
LinuxLinux
Ubuntu Server
Sentence Transformers
Scikit-learn
Face Recognition
FAISS
Gradio
FlaskFlask
PySpark
C++C++
Librosa
SSH
systemd
Apache Kafka
Structured Streaming
ReactReact
Local LLM Deployment
llama.cpp RPCllama.cpp RPC
Distributed Inference
GitHubGitHub

Languages

Urdu
English
Japanese
Spanish

Projects

Real-Time News Intelligence Agent

personal
Built an end-to-end real-time news intelligence platform using streaming data, semantic search, RAG, and multi-agent AI for summarization, sentiment analysis, trend detection, and Q&A.
PythonApache KafkaPySparkFAISSSentence TransformersGroq LLMFlaskReactGitHub

Home AI Surveillance System

personal
Developed a headless real-time surveillance system combining motion detection, person detection, face recognition, automated mobile alerts, and persistent Linux deployment.
PythonOpenCVYOLOv8Face RecognitionUbuntu Server

AI Speech-to-Text Subtitle Generator

personal
Built an end-to-end speech recognition system for automated, time-aligned subtitle generation with interactive real-time transcription.
PythonPyTorchHugging Face TransformersWhisperLibrosaGradio

Content-Based Recommendation System

personal
Developed a recommendation system using similarity-based filtering and structured textual features to generate personalized content recommendations.
PythonScikit-learnPandas

Education

BS Artificial Intelligence

University of Central PunjabArtificial Intelligence2023

Intermediate in Computer Science (ICS)

Punjab Group of CollegesComputer Science2021 – 2023
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