- π¬ AI/ML Engineer with 4+ years experience
- βοΈ Built end-to-end ML pipelines (training β deployment β monitoring)
- π Delivered models with ~92% accuracy
- π§ Specialized in:
- LLMs, RAG pipelines, embeddings
- NLP, classification, regression
- βοΈ Deploying scalable systems on AWS + Docker + CI/CD
- Hugging Face Transformers
- LangChain, RAG Pipelines
- XGBoost, Random Forest, SVM
- NLP, Computer Vision
- Pandas, NumPy, Spark
- FAISS, Pinecone (Vector DBs)
- ETL Pipelines & Data Engineering
- LangChain + Tavily API
- ReAct reasoning + memory
- Conversational intelligent search agent
- RAG pipeline with FAISS + FastAPI
- Semantic Q&A over internal docs
- Deployed on AWS
- 87% accuracy, 0.82 F1
- Reduced manual analysis by 60%
- Flask-based deployment
- React + Spring Boot + PostgreSQL
- 99% uptime
- Integrated Stripe/PayPal
- Scaling LLM systems in production
- Improving retrieval + reasoning pipelines
- Building AI products that actually ship
π§ gurusaic3x@gmail.com
π Portfolio
πΌ LinkedIn
β‘ "Turning data into intelligence, and intelligence into impact."