Mohammad Taqui Siddiqui
Skills
•Programming Languages: Java 8, Python, BASH, JavaScript
•AI/ML Techniques: Fine-tuning LLMs, DSPy, Vector Embedding, Machine Learning, NLP, RAG Implementations, Prompt Engineering, Supervised & Unsupervised Algorithms
•Generative AI Technologies: OpenAI, Gemini, Stable Diffusion, Hugging Face, Mistral, Dataiku
•Database Management: Pinecone, Milvus, PgVector, MySQL, MongoDB, DynamoDB
•Frameworks: Spring, Spring Boot, Spring WebFlux, FastAPI, LangChain, React, Spring MVC, Oracle Database
•Familiar With: Design Patterns, Kafka, AWS EC2, AWS S3, AWS CloudWatch, AWS API Gateway, Microservices, REST API
About
• Designed and developed a semantic search feature for a real estate website using RAG, LLM fine-tuning, and prompt engineering,
achieving search result relevance by 95%.
• Leveraged Pinecone for vector similarity search, Azure OpenAI for semantic understanding, and Dataiku for content indexing and VectorDB management.
• Developed and fine-tuned LLM models.
• Created an organization’s chatbot using LLM hosted on AWS EC2 and integrated with MS Teams using PowerAutomate.
• Implemented a centralized system for managing WSI credit card loyalty points and enhanced eCommerce features.
• Developed APIs, improved the codebase, and integrated with third-party vendors for better data processing.