Expertise in building LLM applications, RAG systems, and AI agents using both proprietary and open-source technologies.
Skilled in deploying AI solutions across major cloud platforms and optimizing model inference.
Experience in architecting and developing full-stack platforms, integrating AI modules with application components.
Proficient in building data processing pipelines for document indexing, semantic search, and improving retrieval relevance.
Developed an AI agent leveraging order history and cart contents to recommend tailored products, returning structured responses with images and direct purchase links.
Built a RAG pipeline to ingest company knowledge bases, analyze RFPs, and auto-generate tailored proposals aligned with requirements and company style.
Developed an onboarding pipeline for companies to create production-ready customer-facing chatbots powered by their own knowledge bases.
Fine-tuned MobilenetV3 CNN using PyTorch to classify Alzheimer’s disease stages from MRI images.
Developed an AI agent for MOKWN Ecommerce, streamlining the product buying journey.
Architected a full-stack e-commerce platform using React, TypeScript, and Supabase.
Owned and developed the full AI system for a Tender Streamline application at Veem Solutions.
Built an onboarding pipeline for a Call Center SaaS platform, enabling custom chatbots.
Delivered comprehensive training in AI/ML fundamentals, PyTorch, TensorFlow, and cloud deployment.
Achieved 95% accuracy in classifying Alzheimer's disease stages using fine-tuned MobilenetV3 CNN.