Skip to content
View MalaikaJunaid's full-sized avatar
πŸ’«
Passionate
πŸ’«
Passionate

Block or report MalaikaJunaid

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MalaikaJunaid/README.md

Malaika Junaid

AI Engineer | Generative AI, RAG & Multi-Agent Systems | Computer Vision

Award-Winning AI Developer & Software Engineer
Building autonomous agents, scalable ML pipelines, and production-ready AI ecosystems.


πŸš€ Featured Projects

πŸ† SEEVIA: Multimodal Assistive Perception Ecosystem

  • Status: πŸ₯‡ 1st Prize in Artificial Intelligence (University Career Expo, May 2026)
  • Architecture: An end-to-end framework designed for real-time scene understanding, safety monitoring, and autonomous indoor navigation for visually impaired users.
  • Perception Engine: Real-time object detection (YOLOv11), CNN-based fall detection, and OCR pipelines using Tesseract/Google Vision.
  • Autonomous Navigation: Deep Q-Learning (DQN) for zero-shot indoor pathfinding across dynamic, unmapped environments.
  • Deployment: Optimized for edge computing with TensorFlow Lite, utilizing FastAPI microservices and React Native for cross-platform access.

🧠 Generative AI & Autonomous Agents

  • Enterprise RAG Pipelines: Built robust retrieval-augmented generation systems integrating vector databases (Pinecone/FAISS) for efficient semantic search and context-aware LLM processing.
  • Multi-Agent Orchestration: Designed autonomous reasoning and task execution workflows using LangChain and LangGraph to bridge the gap between open-source models and enterprise data.
  • Model Optimization: Fine-tuned deep learning models using PyTorch and prototyped automated data preprocessing pipelines to support scalable AI architectures.

πŸ› οΈ Technical Proficiencies

Domain Technologies & Frameworks
Generative AI & LLMs LangChain, LangGraph, RAG, Hugging Face Transformers, vLLM, Prompt Engineering
Computer Vision & RL YOLOv11, PyTorch, OpenCV, CNNs, Deep Q-Learning (DQN)
Backend & Infrastructure Python, FastAPI, SQL, REST APIs, Git, Docker, CI/CD, Kubernetes (Learning)
Cloud & Edge AI Google Cloud Platform (GCP), AWS, TensorFlow Lite, Firebase
Full-Stack / Mobile Next.js, React Native, Expo

🌍 Experience & Community Leadership

  • Director @ GDG Cloud Emirates: Leading regional community initiatives, evaluating emerging AI toolchains, and architecting cloud-native workshops across the UAE.
  • Machine Learning Intern @ Ezitech: Architected GenAI prototypes, integrated vector databases, and fine-tuned PyTorch models for backend Python services.
  • Software Engineering Fellow @ Headstarter AI: Deployed multiple AI-powered applications operating in rigorous CI/CD engineering sprints.
  • Founder & Mentor @ COMSATS AI Society (CAIS): Established a university-wide tech organization to advance student capabilities in neural networks and model deployment.
  • Global Exposure: Completed a full academic exchange year studying Data Analytics at Ajman University (UAE).

Malaika's Streak


πŸ“¬ Connect with Me

Whether you are building multi-agent LLM systems, optimizing models for the edge, or architecting cloud AI infrastructure ~ my inbox is open for technical collaboration and full-time opportunities across the UAE and beyond.

Pinned Loading

  1. multi-agent-rag-assistant multi-agent-rag-assistant Public

    UAE Legal Assistant: A domain-specific Multi-Agent RAG system built with LangGraph, Pinecone, and FastAPI to verify legal facts and eliminate AI hallucinations.

    Python

  2. SecureKiosk-AI SecureKiosk-AI Public

    An open-source, edge-deployed document intelligence pipeline featuring local computer vision, OCR, and zero-trust PII redaction.

    Python