Kamlesh Tripathi
Senior Engineer (AIDD)
Bengaluru
Summary
Innovative and results-driven Agentic AI Engineer with nearly 10 years of experience in AI infrastructure, DevOps, and automation. Expert in deploying LLM-based platforms and designing autonomous agents using LangChain, CrewAI, and OpenAI APIs. Proven ability to lead DevOps for scalable AI systems and implement self-healing, context-aware AI workflows.
Overview
11
11
years of professional experience
Work History
Senior Software Engineer L2
Rakuten
11.2021 - Current
- Architected scalable AI infrastructure and deployed LangChain/CrewAI-based agent systems.
- Implemented agentic workflows for legacy product metadata extraction and layout monitoring.
- Managed LLM-based tools like Hanko for annotation and fine-tuning using Azure OpenAI.
- Led DevOps efforts for data-heavy modules like Product Master, enabling rapid delivery cycles.
Technology Analyst
Infosys
Bangalore
07.2018 - 09.2021
- Delivered CI/CD pipelines and cloud automation for banking applications.
- Managed Jenkins-based deployments with Docker and Kubernetes across dev/test/prod environments.
- Maintained release stability and optimized deployment SLAs.
Software Engineer
CGI (Client: British Telecom)
Bangalore
01.2015 - 07.2018
- SME for Rating & Billing; resolved incidents, generated client reports, managed Git repositories.
- Delivered billing process support (Rating, Payments, Collections, Dunning) under ITIL SLA guidelines.
- Trained new members and led process improvements for RBM and Feeds teams.
Education
B.Tech - Computer Science Engineering
Uttar Pradesh Technical University (UPTU)
UP , India04.2013
Skills
- Kubernetes (GKE, AKS)
- Helm
- Terraform
- Jenkins
- GitHub Actions
- Azure OpenAI
- Vertex AI
- MLflow
- Kubeflow
- Hugging Face
- Python
- Bash
- YAML
- Cloud Logging
- LLM integration
Experience
9 Years 10 Months
Project Highlights
- Auto-Heal Crawler, Agentic AI crawler to monitor website layout changes and fix XPath/CSS dynamically – reduced failures by 60%.
- Hanko Annotation Tool, LLM-aided tool for smart labeling and human-in-the-loop feedback to fine-tune domain-specific models.
- Product/Item Master Intelligence, Built ML pipelines for metadata tagging and feature extraction across product databases.
- LLM Deployment for Rakuten Research, Deployed OpenAI-based models on Azure AKS, with full ML observability and MLOps integration.
Timeline
Senior Software Engineer L2
Rakuten
11.2021 - Current
Technology Analyst
Infosys
07.2018 - 09.2021
Software Engineer
CGI (Client: British Telecom)
01.2015 - 07.2018
B.Tech - Computer Science Engineering
Uttar Pradesh Technical University (UPTU)
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