I am Aisha Malik
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Hello! I am a passionate software engineer with a strong background in computer science, fueled by a love for innovation and problem-solving. My journey is marked by a blend of technical expertise and creative curiosity, with a focus on building scalable applications that enhance user experiences. I enjoy exploring the intersection of software development and AI, having worked on projects that integrate machine learning models with web applications. Feel free to explore my portfolio and connect with me on LinkedIn!
Featured Projects
A showcase of some of my favorite work.
Customer Churn Prediction
Brain Tumor Classification
Codebase RAG
Sutainable AI
AI Rate my Professor
QuizzMe
Python
TypeScript
JavaScript
HTML
CSS
SQL
C++
Python
TypeScript
JavaScript
HTML
CSS
SQL
C++
Python
TypeScript
JavaScript
HTML
CSS
SQL
C++
Python
TypeScript
JavaScript
HTML
CSS
SQL
C++
React
Node JS
Redis
Firebase
Langchain
PostgreSQL
Linux
Vercel
Streamlit
FastAPI
Django
Next.js
AWS
Git
Material-UI
Postman
React
Node JS
Redis
Firebase
Langchain
PostgreSQL
Linux
Vercel
Streamlit
FastAPI
Django
Next.js
AWS
Git
Material-UI
Postman
Experience
My professional journey and roles
Software Engineer
Outlier AI
Architected model evaluation pipelines using LangChain and FastAPI, implementing robust testing frameworks with PyTest and Pydantic for type validation, reducing deployment cycles by 30% across production LLM projects
Developed 100+ REST API endpoints with FastAPI leveraging Elasticsearch and Redis for indexing and caching, serving 50K+ daily requests
Built and optimized CI/CD pipelines on Linux environments using Bash scripting and Docker, resulting in 45% reduction in deployment time and improved system reliability
Developed full-stack features using React and PostgreSQL, implementing real-time data synchronization and analytics dashboards for model performance monitoring across multiple environments
Software Engineer Resident
Headstarter AI
Developed 10+ AI web applications using Next.js, OpenAI, Pinecone, and Stripe, driving a 20% increase in user engagement and automating core workflows by implementing API integrations and data pipelines
Implemented Firebase and Clerk authentication, significantly decreasing codebase size, improving system scalability and developer experience
Built and led a team to deliver production-ready code under tight deadlines, deploying high-performance AI applications that boosted customer retention rates by 15% within the first two weeks of launch.
Software Engineering Intern
Mixspot
Led full-stack development of a new content management system for short-form video platform, implementing core features using React, TypeScript, and Tailwind UI that improved content upload efficiency by 40% for creators
Architected and developed RESTful API endpoints using Python and Django REST Framework, handling ~10K+ daily requests and reducing average API response time by 65% through query optimizations
Designed and implemented cloud infrastructure using AWS services (EC2, RDS, S3, Lambda, Cognito), resulting in 99.9% system uptime and secure authentication CMS admins
Independently owned and shipped multiple features in a startup environment, including a bulk content scheduling system using TanStack Query that increased creator productivity by 3x and reduced publishing errors by 75%