Experience & Projects

Professional Experience

CirrusLabs, Alpharetta GA, USA • Aug 2023 – present (Software Developer)

  • Improved fraud detection accuracy by 15% through customizing a deep learning model in PyTorch, incorporating ELA preprocessing and CNN classification techniques
  • Boosted hate speech detection model accuracy by 20% by fine-tuning Facebook's R4 Target model using AI Jupyter Notebook, PyTorch, and TensorFlow
  • Developed a model testing harness web application enabling clients to input datasets and models, providing metrics like F1 score, BLEU score, and hyperparameter performance heatmaps
  • Created UI screens & integrated APIs for a resume mining application using TypeScript, ReactJS & NodeJS, implementing RAG through LangChain for job description-resume matching
  • Optimized CI/CD process by brainstorming test cases and Selenium GitHub Actions for GitHub commits and pull requests verification
  • Conducted business analysis by identifying KPIs, OKRs, and user stories for an internal project management tool to measure innovation rate

Proteens by TEDDict, Karachi Sindh, PK • Jan 2021 – Jan 2024 (Startup Consultant)

  • Led a team of 11 in operations, event planning, grant applications, curriculum design, and marketing
  • Increased app conversion rates by 60% by assisting a 5-member scrum team in developing and deploying a React Native app for Android
  • Optimized business operations by conducting SWOT analysis, P&L analysis, and breakeven analysis to determine required MRR

Education

Georgia State University

Bachelor of Science in Computer Science | GPA: 3.7 | Expected Graduation: Dec 2024

Relevant Coursework:

Data Structures & Algorithms, Mobile App Development, Web Programming, Software Engineering, CodePath Technical Interview Prep

Awards:

President's List (Spring '22), Dean's List (Fall '23), 100% Presidential Scholarship Recipient

Research Projects

  • Developing MVP ReactNative mobile app and NextJS webapp to improve on the RateMyProfessors platform for GSU students
  • Created Ollama Langchain tests for AI experimentation and learning

Skills

  • Testing: Selenium WebDriver, Load Testing, GitHub Actions & Test Cases
  • Programming: Python, JavaScript, TypeScript, CSS, HTML, PHP, TailwindCSS
  • Libraries: matplotlib, scikit-learn, pandas, NumPy
  • Web Dev: ReactJS, NodeJS, NestJS, ExpressJS, Django, REST APIs
  • Databases: Firebase, MongoDB, Azure Blob Storage, AWS S3 Buckets
  • Dev Tools: Message Brokers, Git, Docker
  • Cloud Platforms: AWS, Azure
  • AI Technologies: OpenAI API, BERT, Langchain, Ollama, transformers, Vector DB Pinecone
  • AI Methodologies: RAG, Fine-tuning, Hyperparameter Optimization, Supervised & Unsupervised Learning
  • AI Use Cases: Fraud Detection, NLP - Hate Speech Detection, Text Similarity, Custom GPT Chatbot