I'm a dextrous full-stack developer with a strong background in Artificial Intelligence, Machine Learning, and Full-Stack Development. With extensive experience in architecting solutions from scratch, building e-commerce sites, and deploying RAG applications, I thrive on creating innovative solutions that bridge the gap between technology and business needs.
- 🎓 Graduated from Minerva University with a BSc in Computer Science with Applied Artificial Intelligence (3.84 GPA) in May 2023.
- 💼 Worked on commercial products, specializing in education marketplaces, multi-tenant apps, and AI/machine learning solutions eg RAG solutions, diffusion models and recommendation engines.
- 🚀 Experienced in designing scalable, cloud-architected production systems and machine learning systems using GCP, AWS, and Docker.
- 🌐 Skilled in end-to-end full-stack development with Object-Oriented Languages such as Typescript, Python, Javascript, Rust, R, and Solidity.
- 🌱 Exploring interests in AI/ML recommendation engines, blockchain technology, search engines, and RPAs.
- Led the development of products including e-commerce sites and dating apps for startups.
- Built a centralized application for 58,000 restaurants, daters, and users, incorporating features such as recommendation engines, search engines, using vector stores and implemented background check APIs.
- Developed lasting client relationships, leading to additional business opportunities.
- Trained colleagues to improve their technical and business acumen, fostering efficient collaboration.
- Leads the development of a cloud-based education marketplace, implementing business-led features such as dashboards, API abstractions, and analytics.
- Engineered search engine queries, payment integrations with Stripe & PayPal, and optimized for SEO.
- Conducted user interviews and spearheaded user journeys to enhance user experience.
- Supported data retention efforts at a Fortune 100 client company, ensuring compliance with GDPR, CCPA, and CPRA laws.
- Created a data validation and documentation pipeline, saving substantial time and reducing errors.
- Implemented a data standardization framework across >1000 databases, ensuring consistency and compliance.
- Languages: Python, Javascript, Rust, R, Solidity
- Frameworks & Technologies: MERN Stack, Django, Flask, React, Redux, Docker, GCP, AWS
- Tools & Platforms: Git, Google Analytics, Hotjar, Facebook Marketing, Twilio, Cloudinary
- Machine Learning & Data Analysis: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Tableau
- Certifications: Human-centered design (PwC), Python (LinkedIn), Deep Learning (deeplearning.ai), Business Analytics (PwC), Inclusive Mindset (PwC)
- 🔥 - Less than 1 year
- 🔥🔥 - 1-2 years
- 🔥🔥🔥 - 2-3 years
- 🔥🔥🔥🔥 - 3-4 years
- 🔥🔥🔥🔥🔥 - 4+ years
- Python: 🔥🔥🔥🔥🔥
- Typescript: 🔥🔥🔥🔥
- JavaScript: 🔥🔥🔥🔥
- Rust: 🔥🔥
- R: 🔥🔥
- Solidity: 🔥
- MERN Stack: 🔥🔥🔥🔥
- Django: 🔥🔥🔥🔥
- Flask: 🔥🔥🔥🔥
- React: 🔥🔥🔥
- Redux: 🔥🔥🔥
- Docker: 🔥🔥🔥
- Google Cloud Platform (GCP): 🔥🔥🔥
- Amazon Web Services (AWS): 🔥🔥
- 📧 Feel free to reach out via Email for any inquiries or collaborations.
- 📅 Schedule a meeting with me on Calendly to discuss potential projects or opportunities.
Let's build something amazing together! 😊