Ankur Verma — DevOps Engineer

I sit at the intersection of cloud infrastructure and Generative AI — and I believe the best AI systems are only as good as the backend that powers them. At IBM, I design and scale production cloud systems on AWS for high-volume, mission-critical workloads — real-time pipelines, secure API architectures, containerized services, and observable infrastructure built for fault tolerance and compliance. On the same team, I architect enterprise LLM deployments: agentic workflows, Agentic RAG pipelines, Graph Memories and Model Context Protocol (MCP) server integrations that connect LLMs to live enterprise data sources securely and at scale. My background spans the full stack of modern AI infrastructure: distributed systems and MLOps (Kubernetes, Kafka, Kubeflow — 700+ RPS real-time inference), Python-based cloud-native APIs (FastAPI, Flask), and the emerging LLM orchestration layer (LangChain, LlamaIndex, multi-agent systems). I've deployed on AWS, Azure, and GCP — and I've shipped AI products in healthcare, finance, compliance, and emergency response, including hackathon wins at Morgan Stanley, Square + Google, and AWS. The thing that sets my work apart: I can take a GenAI idea from architecture to production — not just as a proof of concept, but as a system that scales, observes, and recovers from failure. Core stack: Python · AWS · Generative AI · MCP · LLM Agents · RAG · Kubernetes · FastAPI · LangChain · Cloud Architecture · Distributed Systems · Prompt Engineering · Agentic AI · Agentic Swarms · Google Cloud Platform(GCP) · Microsoft Azure Always open to conversations on Cloud Engineering, AI Systems, and enterprise GenAI architecture. 📩 ankurvermaaxz@gmail.com 🔗 GenAI Consultancy: https://www.fiverr.com/s/7YKWXGy

Stackforce AI infers this person is a Cloud Infrastructure and Generative AI Engineer with expertise in Fintech and Enterprise Software.

Location: Greater Toronto Area, Canada

Experience: 1 yr 3 mos

Skills

Generative Ai
Cloud Computing
Python
Machine Learning
Big Data Analytics
Data Engineering

Career Highlights

Expert in cloud infrastructure and Generative AI.
Proven track record in scaling production cloud systems.
Award-winning developer with hackathon wins.

Work Experience

IBM

Infrastructure Specialist (Cloud & Generative AI Engineer) (1 yr)

Software Engineer (Python & AWS) (5 mos)

Back End Developer (1 yr)

Software Engineer Intern (3 mos)

Machine Learning Engineer (3 mos)

Indiefluence.in

Business Development Executive (1 yr 11 mos)

GitHub

GitHub Campus Expert Mentor (2 yrs)

Wipro

Senior Software Engineer (2 mos)

Project Engineer TURBO | Data Analytics & AI (1 yr)

Project Engineer | Data Analytics & AI (3 mos)

Zopper

Back End Developer (1 mo)

GitHub

GitHub Campus Expert (5 mos)

Kurukshetra University

Deep Learning Research Intern - Computer Vision & Image Processing (1 yr 3 mos)

International Organisation of Software Developers

Student mentor - Python & Machine Learning (1 yr 1 mo)

Education

Master of Engineering - MEng at Concordia University

Bachelor of Technology - BTech at UIET - Kurukshetra University

High School at D.A.V. Public School, Kurukshetra, IN

Metric at D.A.V. Public School - India

Web3 at Alchemy University

Ankur Verma

DevOps Engineer

Greater Toronto Area, Canada1 yr 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in cloud infrastructure and Generative AI.
Proven track record in scaling production cloud systems.
Award-winning developer with hackathon wins.

Stackforce AI infers this person is a Cloud Infrastructure and Generative AI Engineer with expertise in Fintech and Enterprise Software.

Contact

Skills

Core Skills

Generative AiCloud ComputingPythonMachine LearningBig Data AnalyticsData Engineering

Other Skills

Artificial Intelligence (AI)Amazon Web Services (AWS)Cloud ApplicationsBack-end OperationsServer ProgrammingPython (Programming Language)JenkinsKibanaSoftware DevelopmentData Structures and AlgorithmsBack-End Web DevelopmentElastic Stack (ELK)Deep LearningApache AirflowAb Initio

About

Experience

1 yr 3 mos

Total Experience

1 yr 3 mos

Average Tenure

Current Experience

Ibm

5 roles

Infrastructure Specialist (Cloud & Generative AI Engineer)

Promoted

Jun 2025 – Present · 1 yr

Deployed CI pipelines integrating LLM MCP infrastructure to automate the translation of security incidents into
actionable items, JIRA tickets, and Slack notifications—reducing MTTR by 60%
Led the end-to-end migration of mission-critical banking applications for top financial institutions from on-premises
data centers to IBM Cloud on Red Hat OpenShift, enhancing scalability, reliability, and operational efficiency
Planned and developedWatsonX and GPT-powered internal applications integrated with Slack, JIRA, and Draw.io,
automating workflows and saving 4+ man-hours daily

Generative AIArtificial Intelligence (AI)Cloud ComputingAmazon Web Services (AWS)Cloud ApplicationsBack-end Operations+1

Software Engineer (Python & AWS)

Promoted

Jan 2025 – Jun 2025 · 5 mos

Deployed and configured NGINX Reverse Proxy to secure exposed domains, mitigating security risks and strengthening
overall system integrity
Spearheaded DevOps platform operations, automating deployments to boost efficiency, ensure reliability, and save
5+ man-hours weekly, expediting feature delivery
Optimized AWS cloud infrastructure (Route 53, ELB, S3) to improve performance and scalability for a leading
APAC financial institution, ensuring high availability for critical banking services

Amazon Web Services (AWS)Python (Programming Language)JenkinsKibanaSoftware DevelopmentData Structures and Algorithms+3

Back End Developer

Dec 2023 – Dec 2024 · 1 yr

Actively contributed to the DevOps & Cloud team, where I managed platform operations and product deployment, ensuring high availability and reliability of cloud-based services.
Collaborated with cross-functional teams to design and implement an automated copyrighting system, optimizing workflow efficiency and saving an estimated 5 man-hours weekly by streamlining manual processes.
Leveraged various AWS services (including Route 53, Elastic Load Balancing (ELB), and S3) to build and maintain the infrastructure for a prominent APAC financial institution, enhancing the scalability and performance of their applications.
Engaged in continuous improvement practices, utilizing CI/CD pipelines and automation tools to facilitate rapid development cycles and improve deployment efficiency.
Participated in Agile ceremonies, contributing to sprint planning, retrospectives, and daily stand-ups to drive project progress and foster a collaborative team environment.

Generative AIPython (Programming Language)Back-End Web DevelopmentAmazon Web Services (AWS)Software DevelopmentCloud Computing

Software Engineer Intern

Sep 2023 – Dec 2023 · 3 mos

Amazon Web Services (AWS)Python (Programming Language)Back-End Web DevelopmentJenkinsElastic Stack (ELK)

Machine Learning Engineer

May 2023 – Aug 2023 · 3 mos

I worked with an Open-source Driven Cloud Agnostic MLOps as a service tool. The tools include Kubernetes, KubeFlow, Azure Cloud, Openshift, Apache OpenWhisk, Apache Flink, Apache Kafka, Mongo Db, Feature Store, MLFLow, Seldon Core, Prometheus, Graffana, Jenkins & GO CI/CD.
Engineering a scaleable & available Cloud Agnostic MlOps as a Service Platform called Falcon, that supports
batch and streaming data for near-real-time inference
Working with technologies & tools like Kubernetes, KubeFlow, Istio, MLFLow, Apache Kafka, Apache Flink,
Apache Openwhisk, Seldon Core, Prometheus, Graffana, GoCD and MongoDB
Integrated Batch Data load for Big Data Scaling with Feast, Spark & PostgreSQL to reduce RAM utilization
by over 90%

Generative AIPython (Programming Language)Machine LearningArtificial Intelligence (AI)Back-End Web DevelopmentBig Data Analytics+1

Indiefluence.in

Business Development Executive

Jul 2024 – Present · 1 yr 11 mos · India · Remote

Github

GitHub Campus Expert Mentor

Jan 2023 – Jan 2025 · 2 yrs · Montreal, Quebec, Canada · On-site

GCE and GCE Mentor at Concordia University

Wipro

3 roles

Senior Software Engineer

Oct 2022 – Dec 2022 · 2 mos

Developed and implemented automated data processing workflows utilizing Ab Initio, PL/SQL, Jenkins, and Python, resulting in a 20% reduction in data ingestion and processing time, significantly enhancing operational efficiency.
Designed and executed automation solutions using Unix, Python, Apache Spark, and SQL, leading to an impressive savings of over 30 man-hours per week by minimizing manual tasks and streamlining data handling processes.
Collaborated closely with cross-functional teams to identify bottlenecks in data workflows and implemented optimization strategies, improving overall data pipeline performance.
Engaged in code reviews and provided mentorship to junior engineers, fostering a culture of quality and continuous improvement within the team.

Project Engineer TURBO | Data Analytics & AI

Promoted

Oct 2021 – Oct 2022 · 1 yr

Working on the project with Bharti Airtel
I am responsible for the development and monitoring of Abinitio Data pipelines. The primary role involves Data ETL and warehousing.
I work with Technologies and tools like BigData(Hive, Hadoop), UNIX, ORACLE PL/SQL, Spark, Jenkins, Python and Scala.

Artificial Intelligence (AI)Big Data AnalyticsData EngineeringApache AirflowAb Initio

Project Engineer | Data Analytics & AI

Jul 2021 – Oct 2021 · 3 mos

Python (Programming Language)Big Data AnalyticsInformaticaSQLScalaData Engineering

Zopper

Back End Developer

Jun 2021 – Jul 2021 · 1 mo · Noida, Uttar Pradesh, India

Spearheaded the development of robust solutions to address internal challenges within the Django-powered backend, enhancing system performance and reliability.
Integrated client APIs to create a seamless technical backend that facilitated efficient interactions between clients and insurance providers for claims processing, ensuring a streamlined experience for all stakeholders.
Managed and optimized cloud infrastructure on AWS and Azure, overseeing server performance and resource allocation to ensure scalability and reliability of backend services.
Implemented effective logging and task management solutions using Redis and Celery, improving system observability and enhancing the efficiency of asynchronous task processing.

Python (Programming Language)Big Data AnalyticsApache SparkPySparkUnix

Github

GitHub Campus Expert

Jan 2021 – Jun 2021 · 5 mos

GitHub Campus Expert at Kurukshetra University, Kurukshetra

Python (Programming Language)MySQLDjangoMicrosoft AzureAmazon Web Services (AWS)

Kurukshetra university

Deep Learning Research Intern - Computer Vision & Image Processing

Feb 2020 – May 2021 · 1 yr 3 mos · Kurukshetra, Haryana, India

I am working on State of the Art, Face Recognition Algorithms, that includes Image Processing techniques with DCNN to improve reliability. I am also responsible for hosting trained model on Edge devices like NVIDIA Jetson Nano, after Runtime model conversion

Deep Learning