Full Stack Engineer with mid-level experience delivering scalable online platforms and high-performance backend services. Expert in React, Next.js, TypeScript, Python, and AWS, with a track record of building microservices that process 50,000+ transactions daily, boosting Core Web Vitals by 40% and cutting API latency by 78%. Led the redesign of a quotation flow and order-fulfillment pipeline, reducing latency and improving conversion rates. Seeking to apply this expertise to drive efficient, reliable software for manufacturing firms.
Building scalable online platforms with React.js, Next.js, and TypeScript. Boosting Core Web Vitals by 40%.
Building microservices that process 50,000+ transactions daily using Python, Java, Kotlin, and AWS.
LLM Fine-Tuning (LoRA/QLoRA) and Distributed Training. PyTorch, TensorFlow, and HuggingFace.
AWS (EC2, EKS, Lambda), Docker, Kubernetes, Terraform. PostgreSQL, MongoDB, Redis, Elasticsearch.
Software Developer (Contract)
E-Commerce Platform
Contract Software Engineer
Digital Auto Insurance
Software Development Engineer
Cloud-Based Business Platform
Research Computing
Research Computing Backend
2025
Strict checkpoint evaluation was used to prevent overfitting; a model that is safe for commercial use and includes comprehensive documentation was released on Hugging Face.
2024
Using TypeScript, Next.js, and React Server Components, I created a portfolio that is compatible with all devices. The Google Lighthouse performance score was 100, the SEO score was 90, and the best practices score was 100. Added gradient effects, CSS animations, and a light and dark mode switch. Using Vercel edge deployment and next/image lazy loading, we accelerated global load times.
DeePromClass: Deep Neural Networks for Promoter Classification. IEEE/ACM TCBB, 2023
Read PaperElite security challenges and penetration testing for the top 100 out of more than 500,000 individuals worldwide
With a HumanEval score of 68.3%, the Built Llama 3.1 Pro Coder outperformed the GPT-3.5 Turbo by more than 20 points.