AI/ML Engineer building Advance ML, NLP, and LLM systems (RAG, evals, agents) with enterprie scalable low-latency deployment 🚀
- 🤖 Agentic AI systems: tool calling, workflow orchestration, structured outputs, guardrails, and reliable multi-step automation
- 🔎 Retrieval, search, and ranking: hybrid retrieval, reranking, GraphRAG, relevance tuning, and eval-driven iteration
- 📊 Applied ML at scale: recommender systems, time series forecasting, classification and ranking with strong offline metrics, A/B testing, and counterfactual evaluation when applicable
- 🖼️ Multimodal ML: vision + language pipelines, document understanding, OCR, and grounded extraction into schemas
- ⚡ Production ML engineering: SLA-driven serving, profiling and incident fixes, latency and cost optimization, monitoring and drift signals, feature store integration, and data quality checks
- Open to full-time roles:Software Engineer, AI Engineer, ML Engineer, Applied ML Engineer, GenAI Engineer
Thanks for visiting my profile! ⭐ If you like what I build, feel free to connect.


