Manoj Kumar Koduru
AI/ML Engineer
Hyderabad
Summary
Dynamic AI/ML Engineer with over 9 years of experience in cloud computing, DevOps, and MLOps, specializing in the development of scalable machine learning systems and the optimization of CI/CD pipelines for production-grade AI deployments. Currently contributing expertise at Tech Mahindra by bridging the gap between advanced machine learning models and robust cloud-native solutions. Proficient in leveraging GCP, Azure, Kubernetes, Terraform, and Generative AI frameworks to drive innovation and efficiency in AI initiatives. Committed to delivering high-quality results that enhance operational performance and support strategic business objectives.
Overview
10
10
years of professional experience
4
4
Certifications
Work History
AI/ML Engineer
Tech Mahindra
05.2024 - Current
- Orchestrated establishment of AI/ML systems for healthcare innovations, employing Generative AI and RAG
- Developed and executed complete ML pipelines integrating CI/CD for streamlined model training, testing, and production launch.
- Automated infrastructure with Terraform, Helm, and Kubernetes for scalable ML workloads.
- Implemented monitoring and logging for ML models using Prometheus, Grafana, and Cloud Ops Agent.
- Implemented Generative AI and RAG solutions leveraging LangChain, Hugging Face, and ChromaDB.
- Integrated FastAPI-based ML microservices with NGINX and Apigee for secure API delivery.
- Optimized model lifecycle using MLflow and Vertex AI for tracking, deployment, and retraining.
- Leveraged cloud-based computing resources for cost-effective model training and evaluation at scale.
- Optimized data processing pipelines for efficient handling of large datasets, resulting in reduced training time.
Lead DevOps Engineer
UST Global
01.2023 - 12.2023
- Designed, developed, and maintained CI/CD pipelines for critical banking applications.
- Automated deployment and configuration using Terraform and Azure Kubernetes Service.
- Managed AKS clusters ensuring performance, reliability, and security.
- Leveraged Docker containers for packaging application components.
- Built Kubernetes-based backup and disaster recovery solution, reducing recovery time by 50%.
DevOps Engineer
Cognizant
01.2018 - 01.2023
- Designed CI/CD pipelines and automated Kubernetes deployments using Terraform.
- Managed Azure AD Single Sign-On and Azure Virtual Machines.
Network Engineer
Accenture
01.2016 - 01.2018
- Managed Windows servers, Active Directory, DNS, DHCP, and Exchange.
- Performed OS migrations and applied patches & hotfixes.
- Provided remote administration and SQL server backup/restore.
- Automated recurring tasks using PowerShell and batch commands.
Education
Bachelor of Technology (B.Tech) - Electrical Electronics & Engineering
Sri Venkateshwara Institute of Technology (JNTU Anantapur)
01.2016
Skills
MLOps & AI: MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, SageMaker, Hugging Face, LangChain, Generative AI, RAG, ChromaDB, Pinecone
DevOps & Cloud: Kubernetes, Docker, Terraform, Helm, Jenkins, ArgoCD, Azure DevOps, GitHub Actions
Cloud Platforms: GCP (BigQuery, GKE, Cloud Run, Vertex AI), Azure (AKS, Azure ML, ADO), AWS (EKS, S3, SageMaker)
Data & Pipelines: Spark, Kafka, SQL, Pandas, Dask
Monitoring & Logging: Prometheus, Grafana, ELK/EFK, Cloud Ops Agent
APIs & Integration: FastAPI, Flask, REST, gRPC, Apigee, NGINX
Skilled in using Scikit-learn for machine learning
Experience with machine learning techniques
Model validation techniques
Data feature extraction
Certification
Azure Fundamentals (AZ-900)
Timeline
AI/ML Engineer
Tech Mahindra
05.2024 - Current
Lead DevOps Engineer
UST Global
01.2023 - 12.2023
DevOps Engineer
Cognizant
01.2018 - 01.2023
Network Engineer
Accenture
01.2016 - 01.2018
Bachelor of Technology (B.Tech) - Electrical Electronics & Engineering
Sri Venkateshwara Institute of Technology (JNTU Anantapur)