Passionate about Generative AI, MLOps, open source, full-stack development, AI/ML, and competitive programming. I build end-to-end AI solutions and scalable cloud-native platforms.
| Programming Languages: |
|
| Frontend: |
|
| Backend: |
|
| Machine Learning & Generative AI: |
|
| MLOps & Cloud: |
|
| Dev Tools & CI/CD: |
|
- Built LLM-based tools for legal drafting, astrology, contact centers, and analytics.
- Deployed pipelines with Docker, Kubernetes, RAG, ASR, and RLHF components.
- Managed CI/CD, monitoring, and MLOps workflows (MLflow, DVC, Terraform).
- Developed AI platform infrastructure on GCP/AWS with Terraform and Kubernetes.
- Automated CI/CD (GitLab CI, Helm, ArgoCD) and experiment tracking (MLflow, DVC).
- Set up monitoring (Prometheus, Grafana) and secrets management (Vault).
- Judicial CoPilot: LLM-based assistant for legal judgment drafting with RLHF feedback loops.
- Drishtee AI: RAG-powered Vedic astrology pipeline integrating multiple APIs and vector search.
- CallSense: Real-time ASR + sentiment analysis + LLM response suggestion for contact centers.
- Talk 2 Data: AI-to-SQL translation engine with sandboxed execution and RAG for domain glossaries.
- Distributed Training Orchestration: Ray-based model training pipelines on Kubernetes.
- MLOps Automations: CI/CD, monitoring, experiment tracking (MLflow), data versioning (DVC), infrastructure IaC (Terraform) at AGIE AI and Planck.
- Cloud Platform Infrastructure: Designed and maintained GCP/AWS setups with Kubernetes, Helm, ArgoCD, Vault, Prometheus/Grafana.
- Reduced drafting time by ~35%.
- Increased platform engagement by ~30%.
- Improved contact center metrics (handle time, CSAT).
- Accelerated deployment cycles by ~25%.
- Email: revanthchrixtopher@outlook.com (OR) revanthchristober@gmail.com
- Portfolio: https://github.com/revanthchristober/revanthchristober/
- Generative AI applications
- Scalable MLOps
- Cloud-native systems
- Open source
- Competitive programming
- AI-driven products