Summary
Overview
Work History
Education
Skills
Experience
Project Highlights
Timeline
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Kamlesh Tripathi

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 , India
04.2013

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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Kamlesh TripathiSenior Engineer (AIDD)