Researcher & Engineer

Evaluated responses based on quality, relevance, detail, specificity, safety, and functionality. Wrote complex prompts based on code understand, code generation, or code debugging.

Experience with NLP libraries spaCy, NLTK and frameworks TensorFlow, PyTorch, Hugging Face Transformers. SFT and RLHF for models like Gemini and ChatGPT, enhancing AI response quality.

Specialized in fine-tuning LLMs such as Transformers and BERT for deployment and optimization. Implemented LLM optimization algorithms (Adam, SGD) and metrics for evaluating the performance of LLMs.

Named Top Contributor.

Developed full-stack mobile & web applications utilizing React Native, NextJS, Spring Boot & MongoDB. Established AWS load balancers and auto-scaling groups to enhance microservice scalability and reliability.

Identified risk & resiliency, vulnerability and failover by implementing Web Application Firewall, 7-layer security, and OWASP top 10 security risks.

Containerized applications with Docker for dependency management and linux deployments.

Automated CI/CD processes using GitHub webhooks , AWS Pipeline and Maven for seamless code deployment. Conducted performance & stress tests with Postman UI & integrated OpenAI ChatGPT API for in-app chatbot.

Utilized Alpaca Trading and Historical Data API for trade entry and exit signals for over 2000 stocks.

Designed a trading algorithm based on probability & statistics, and stock options grossing over 50% return.

Created a back testing algorithm and tested with historical data for strategy profitability.

Monitored risk through maintenance margin requirements and implied volatility.