LangChain for LLM Application Development
Learned to build LLM-powered applications using LangChain, including chains, agents, memory, and retrieval-augmented generation (RAG) patterns.
Certifications, awards, and hackathon participations that mark my learning journey.
Learned to build LLM-powered applications using LangChain, including chains, agents, memory, and retrieval-augmented generation (RAG) patterns.
Professional certificate covering Python scripting, automation, Git, Bash scripting, and REST API interactions for IT operations.
Foundation course covering forward/backward propagation, activation functions, optimization algorithms, and building neural networks from scratch in NumPy.
Comprehensive guide to containerization, Docker Compose, Kubernetes orchestration, CI/CD pipelines, and production-grade deployment strategies.
Built a document classification and information extraction pipeline using transformer-based NLP models for government document processing. Team of 6 reached top 10 nationally.
Developed an adaptive e-learning platform that adjusts content difficulty in real-time based on facial micro-expression analysis to gauge student engagement and stress levels.
Designed a HIPAA-compliant medical Q&A chatbot using RAG with automatic PII scrubbing and audit logging. Finalist at regional health-tech hackathon.