🚀 AI / ML Engineer specializing in Generative AI, LLMs, RAG pipelines, and MLOps
🌍 Experience across AWS, Azure, and GCP
- Build production-grade GenAI systems (Chatbots, RAG, Assistants)
- Design scalable ML pipelines with monitoring & retraining
- Optimize LLM cost, accuracy, and latency
- Translate business problems into deployable AI solutions
🔹 Enterprise GenAI Chatbot
- Azure OpenAI + LangChain
- Reduced support tickets by 30%
- Increased self-service resolution by 43%
🔹 RAG Pipeline for Contextual AI
- Vector search + transformer LLMs
- Reduced hallucinations by 37%
- Automated data refresh with Airflow
🔹 Predictive Maintenance ML System
- IoT sensor data + anomaly detection
- Saved $500K/year in downtime costs
👉 See pinned repositories below ⬇️
GenAI: LLMs, LangChain, RAG, Prompt Engineering
MLOps: MLflow, Airflow, Docker, Kubernetes
Cloud: AWS, Azure, GCP
ML: PyTorch, TensorFlow, Scikit-learn
Data: Kafka, Spark, SQL
- LinkedIn: https://www.linkedin.com/in/jyothin-manikanta-313784255/
- Portfolio:
- Email: jyothinmanikanta2@gmail.com