Debashish Singh B. profile photo 1 on Tal

Debashish Singh B.

Senior Platform Engineer | DevOps | Kubernetes | Python | Terraform | GCP | Azure | Building Cost-Efficient Agentic AI Platforms & MCP Architectures

Bengaluru

12+ years of work experience

Walmart Global Tech India
Oct 20233 yrsPresent

India

🧠 Engineered an intelligent AI gateway saving ~$1.4M to ~$14M monthly in token costs. ☁️ Implemented an in-house Terraform platform for multi-cloud automation, reducing deployment time by 85%. βš™οΈ Engineered scalable CI/CD pipelines and automated infrastructure deployments using Kubernetes and Terraform, enhancing system reliability and reducing release cycles by 30%. πŸ“‘ Developed drift detection for Managed Terraform, optimizing execution without increasing database load. πŸ€– Architected autonomous K8s pull-based runners using MongoDB Change Streams and KEDA for scalable job handling. πŸ’° Led RAG implementation for AI chatbots, cutting production support by 40% and saving $250k annually. πŸ”Œ Integrated APIs for 150+ pipelines and built a visualization UI, improving troubleshooting efficiency by 60%. πŸ“ˆ Enhanced platform scalability and parallel execution, increasing deployment frequency by 40%. πŸ›‘οΈ Integrated the platform via APIs to various security gates and policy checks to ensure secure production rollouts.
IDrive Software India Pvt Ltd
Apr 20221 yr 7 mosOct 2023

India

IDrive Software India Pvt Ltd
Apr 20175 yrs 1 moApr 2022

Bengaluru, Karnataka, India

❏ Deployed and monitored testing and development infrastructure to achieve 99.99% uptime. ❏ Experienced in Setting up the build and deployment automation using Terraform scripts ❏ Provisioned the highly available EC2 Instances using Terraform ❏ Identified and reported bugs in testing and production environments. ❏ Integrated multiple systems and deployed products under various environments(on-prem & third party cloud like AWS) to reconcile needs of different teams. ❏ Tested and deployed product patches within SLA (e.g. upgrades, firmwares and Bugfixes) as per RCA. ❏ Resolved escalated tickets within the given SLA. ❏ Worked as a part of the global Ops team and led the Indian team of 4. ❏ Provided KT to team about new releases, best practices and troubleshooting. ❏ Built and maintained KBase for the team which resulted in reduced turnaround time and increased SLA.
Microland Limited
Jun 20151 yr 11 mosApr 2017

Bengaluru, Karnataka, India

❏ Organizing and validating documented users feedback about the products and its features. ❏ Re-creating the user's environment and deploying different Acronis products to replicate issues. ❏ Verify the bugs(environment specific, user specific or universal) and forward the same to the product development team through JIRA. ❏ Analyze the collected feedback for volume drivers and communicate the resolution steps though well documented Knowledge base articles. ❏ Analyze the data collected through feedback and tickets to narrow down the most disliked and problematic features/changes and convey the results with the product design and development teams. ❏ Recommend best possible solutions based on research and analysis.
Microland Limited
Jun 20151 yr 11 mosApr 2017

Resolved 200+ unique user environment issues during Acronis product deployments. Reduced incident resolution time by 30% through effective troubleshooting. Accelerated bug fixes by 40% using a systematic JIRA-based verification approach. Authored and published over 50 comprehensive knowledge base articles based on volume driver analysis, improving team efficiency by 25%.
Infinite Computer Solutions
Feb 20141 yr 5 mosJun 2015

❏ Troubleshooting Backup Failures, Understanding Backup Job Status Codes, and Configure backup policies for client aware applications, Client Specific and advance restores. ❏ Prepare a detailed report on the plan of action for the existing tickets for the next shift engineer (Shift Handover Report) ❏ Following the various Escalation Matrices (Vendor, Internal and Customer defined). ❏ Handling all Major and corporate customers. ❏ To ensure the smooth operation of communication networks in order to provide maximum performance and availability for their users. ❏ Handling escalation independently and ensuring that such incidents should not happen in future ❏ Working based on tickets and Creating change requests using the Change Management tool. ❏ Supporting all Vendor Engineers for L2 calls.

Debashish’s AI Stack

claude code
claude code
cursor
cursor
gemini
gemini
github copilot
github copilot
hugging face
hugging face
ollama
ollama

Education

Udacity

Nanodegree, Data Analyst

Udacity

20182018

Workshop, Data scicence expert

BEPEC

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Headline

Senior Platform Engineer | DevOps | Kubernetes | Python | Terraform | GCP | Azure | Building Cost-Efficient Agentic AI Platforms & MCP Architectures

About

With over 12 years of experience in platform development and infrastructure automation, I specialize in designing, deploying, and scaling multi-cloud and hybrid cloud architectures. My expertise lies in building resilient, automated environments that power complex, multi-tier applications across private and public clouds. Recently, my focus has expanded into the intersection of cloud infrastructure and artificial intelligence. I actively develop Agentic AI platforms, designing autonomous workflows and establishing rigorous agent evaluation metrics. By implementing advanced prompt optimization and token consumption reduction techniques, I build AI systems that are not only intelligent but also highly cost-efficient and performant. Core Competencies: Cloud & Infrastructure: Azure, GCP, AWS, Hybrid/Private Cloud Platform & Automation: Kubernetes, Docker, Terraform, GitOps, CI/CD Programming: Python, React, Go Databases: CosmosDb, MySQL, MongoDB, Bigquerry, SQLite AI Engineering: Agentic Workflows, MCP, Prompt Optimization, Token Efficiency, Agent Evaluation

Location

Bengaluru

AI stack

claude code

cursor

gemini

github copilot

hugging face

ollama

Work experience

Senior Software Engineer at Walmart Global Tech India, Oct 2023 - Present Β· 3 yrs, India, 🧠 Engineered an intelligent AI gateway saving ~$1.4M to ~$14M monthly in token costs. ☁️ Implemented an in-house Terraform platform for multi-cloud automation, reducing deployment time by 85%. βš™οΈ Engineered scalable CI/CD pipelines and automated infrastructure deployments using Kubernetes and Terraform, enhancing system reliability and reducing release cycles by 30%. πŸ“‘ Developed drift detection for Managed Terraform, optimizing execution without increasing database load. πŸ€– Architected autonomous K8s pull-based runners using MongoDB Change Streams and KEDA for scalable job handling. πŸ’° Led RAG implementation for AI chatbots, cutting production support by 40% and saving $250k annually. πŸ”Œ Integrated APIs for 150+ pipelines and built a visualization UI, improving troubleshooting efficiency by 60%. πŸ“ˆ Enhanced platform scalability and parallel execution, increasing deployment frequency by 40%. πŸ›‘οΈ Integrated the platform via APIs to various security gates and policy checks to ensure secure production rollouts.

Product Specialist at IDrive Software India Pvt Ltd, Apr 2022 - Oct 2023 Β· 1 yr 7 mos, India

System Engineer at IDrive Software India Pvt Ltd, Apr 2017 - Apr 2022 · 5 yrs 1 mo, Bengaluru, Karnataka, India, ❏ Deployed and monitored testing and development infrastructure to achieve 99.99% uptime. ❏ Experienced in Setting up the build and deployment automation using Terraform scripts ❏ Provisioned the highly available EC2 Instances using Terraform ❏ Identified and reported bugs in testing and production environments. ❏ Integrated multiple systems and deployed products under various environments(on-prem & third party cloud like AWS) to reconcile needs of different teams. ❏ Tested and deployed product patches within SLA (e.g. upgrades, firmwares and Bugfixes) as per RCA. ❏ Resolved escalated tickets within the given SLA. ❏ Worked as a part of the global Ops team and led the Indian team of 4. ❏ Provided KT to team about new releases, best practices and troubleshooting. ❏ Built and maintained KBase for the team which resulted in reduced turnaround time and increased SLA.

IT Analyst at Microland Limited, Jun 2015 - Apr 2017 · 1 yr 11 mos, Bengaluru, Karnataka, India, ❏ Organizing and validating documented users feedback about the products and its features. ❏ Re-creating the user's environment and deploying different Acronis products to replicate issues. ❏ Verify the bugs(environment specific, user specific or universal) and forward the same to the product development team through JIRA. ❏ Analyze the collected feedback for volume drivers and communicate the resolution steps though well documented Knowledge base articles. ❏ Analyze the data collected through feedback and tickets to narrow down the most disliked and problematic features/changes and convey the results with the product design and development teams. ❏ Recommend best possible solutions based on research and analysis.

Information Technology Analyst at Microland Limited, Jun 2015 - Apr 2017 Β· 1 yr 11 mos, Resolved 200+ unique user environment issues during Acronis product deployments. Reduced incident resolution time by 30% through effective troubleshooting. Accelerated bug fixes by 40% using a systematic JIRA-based verification approach. Authored and published over 50 comprehensive knowledge base articles based on volume driver analysis, improving team efficiency by 25%.

Technical Support Engineer at Infinite Computer Solutions, Feb 2014 - Jun 2015 · 1 yr 5 mos, ❏ Troubleshooting Backup Failures, Understanding Backup Job Status Codes, and Configure backup policies for client aware applications, Client Specific and advance restores. ❏ Prepare a detailed report on the plan of action for the existing tickets for the next shift engineer (Shift Handover Report) ❏ Following the various Escalation Matrices (Vendor, Internal and Customer defined). ❏ Handling all Major and corporate customers. ❏ To ensure the smooth operation of communication networks in order to provide maximum performance and availability for their users. ❏ Handling escalation independently and ensuring that such incidents should not happen in future ❏ Working based on tickets and Creating change requests using the Change Management tool. ❏ Supporting all Vendor Engineers for L2 calls.

Education

Nanodegree, Data Analyst, Udacity

Workshop, Data scicence expert, BEPEC