👋 About Me

AI/ML Engineer and Data Scientist with 3+ years building production machine-learning and generative-AI systems. I work on LLM evaluation and safety, Retrieval-Augmented Generation, and AI agent systems, and I own the full path from data pipeline to deployment: architecture, delivery, and operations.

• 🔭 Building Bryge.io, a multi-tenant industrial IoT analytics platform, as AI/ML Engineer at Datality (London, remote)
• 🤖 I build LLM apps and I measure them. My portfolio has 12 evaluation and safety projects.
• 🌱 Working across RAG, AI agents, MLOps, and causal/classical ML
• 🎓 MSc Artificial Intelligence @ LUMS · BSc Data Science @ FAST-NUCES
• 💬 Ask me about LLMs · RAG · LangChain · Evaluation harnesses · MLOps
• 📫 Reach me at taimour.a.karim@gmail.com
• ⚡ Fun fact: I like Golf ⛳

🏆 Achievements & Recognition

Beginner-Data-Science-Projects · 2,400+ ⭐ · ranked Top 3 (Notebooks), Top 9 (Training), Top 10 (Educational) by growth acceleration

🚀 Featured Projects

🧪 clinical-llm-bias-audit Reproducible fairness-audit framework for clinical LLMs. Introduces the Geographic Disparity Index (GDI); from-scratch stats (Wilcoxon + BCa bootstrap). Multi-provider LLM · FastAPI · Streamlit	📄 sec-rag-analyst Production RAG over SEC 10-K filings: hybrid BM25+dense retrieval, RRF fusion, cross-encoder rerank, inline citations, labeled eval. Claude · FAISS · BGE · Docker
🏥 CureWise-AI-Medical-Healthcare Deployed healthcare platform: conversational AI, medical-report parsing, RAG, image-based disease detection, realtime DB agents. OpenAI · Groq/Llama · Pinecone · React	⚙️ credit-default-mlops End-to-end MLOps: versioned data → tracked model → CI quality gate → drift detection → instrumented serving. DVC · MLflow · Evidently · Prometheus
🧩 rag-architectures 13 RAG architectures benchmarked on one corpus, from naive → hybrid → GraphRAG → RAPTOR → agentic, scored on recall + LLM-judged accuracy. sentence-transformers · FAISS · Bedrock	🛡️ llm-guardrails Input/output safety firewall: prompt-injection detection, PII redaction, toxicity filters. Macro-F1 1.0, zero benign false positives. FastAPI · Claude judge · regex heuristics

+ a 12-project LLM evaluation & safety cluster: red-teaming · hallucination benchmarks · LLM-as-judge · prompt-regression CI · agent-eval-harness · MCP servers

🛠️ Languages & Tools

📊 GitHub Analytics

🤝 Connect With Me

       

⭐️ From tkarim45. Every result stated against a baseline.