Cloud & DevOps Engineer

ABHISHEK SINGH

Cloud & DevOps Engineer

880******* • **********@*****.*** • LinkedIn • Github

PROFESSIONAL SUMMARY

Results-driven DevOps & Cloud Engineer with 3+ years of hands-on experience building Python automation tools, Terraform-based Infrastructure-as-Code, and CI/CD pipelines on AWS at scale. Proven track record in end-to-end cloud migration (100% on-prem to cloud), IoT integration (100+ units, 50,000+ daily messages), and Generative AI engineering - including a fully local RAG pipeline built with LangChain, Ollama, and vector embeddings. Skilled in Linux administration, Git-based workflows, and cloud networking & security. Delivered 30% cost reduction and 40% uptime improvement. Expanding into Kubernetes and Agentic AI orchestration. TECHNICAL SKILLS

Programming & Automation: Python Bash Linux system administration GitHub Cloud & Infrastructure: AWS (EC2, ECS/Fargate, Lambda, RDS, S3, IAM, VPC, IoT Core, CloudWatch) Azure Infrastructure as Code: Terraform PostgreSQL triggers & automation Containers & Orchestration: Docker Docker Compose AWS ECS/Fargate growing into Kubernetes CI/CD & DevOps: Jenkins GitHub Actions CI/CD pipeline design Serverless architecture Generative AI & LLM Engineering: LangChain Ollama ChromaDB vector embeddings prompt engineering Monitoring & Observability: AWS CloudWatch Real-time alerting Incident response & RCA Networking & Security: VPC design & subnetting IAM policies (least-privilege) AWS IoT Core Databases: PostgreSQL AWS RDS SQL Excel

PROFESSIONAL EXPERIENCE

Cloud / DevOps Engineer Brightbots Pvt. Ltd. August 2024 – June 2026 Cloud Infrastructure & CI/CD

• Architected and delivered end-to-end AWS cloud infrastructure for a robotics-as-a-service platform, achieving 100% migration from on-premise to a scalable cloud-native landing zone - supporting CI/CD workflows across development and operations teams.

• Initiated and implemented an IaC framework using Terraform to codify AWS resource provisioning, enabling repeatable, policy-driven deployments and reducing manual configuration drift.

• Integrated EC2, Lambda, ECS/Fargate, IoT Core, RDS, and S3 into a unified serverless and container- based architecture, reducing infrastructure costs by 30% and aligning with cloud-native microservices best practices.

IoT Infrastructure & SRE

• Designed and managed AWS IoT Core for secure, scalable device-to-cloud connectivity - processing 50,000+ IoT messages daily across 100+ robot edge units with 99.9% uptime.

• Configured AWS CloudWatch for continuous infrastructure monitoring, real-time alerting, and performance dashboards, improving overall system uptime by 40%.

• Performed root cause analysis (RCA) and structured incident response for infrastructure and IoT connectivity issues, reducing MTTR through documented runbooks and automated remediation.

• Contributed to disaster recovery planning and backup strategies for cloud-based robotic operations, supporting business continuity for mission-critical services. Security & Governance

• Designed and enforced IAM policies and VPC architecture to ensure cloud security hardening, least- privilege access control.

• Designed PostgreSQL database on AWS RDS with complex SQL triggers and automation to streamline operational workflows and reduce manual data intervention.

• Collaborated with cross-functional stakeholders to evaluate architecture, identify automation opportunities, and align cloud strategy with business objectives and cost optimisation targets. Data Analyst Ganges Internationale Pvt. Ltd. June 2023 – July 2024 Automation, Observability & Analytics

• Designed and implemented an automated data collection and analytics pipeline using Google Sheets and Power BI, processing 10,000+ daily data points from a fleet of robotic cleaners.

• Built real-time Power BI dashboards to monitor key operational metrics (motor current, runtime efficiency, operational distance), enabling proactive issue detection and platform-level observability.

• Automated weekly reporting processes using SQL and Python scripting, reducing manual effort by 70% and improving data accuracy and consistency across teams.

• Conducted comprehensive RCA on sensor failures, identifying critical design flaws and improving sensor reliability by 50%.

• Performed advanced statistical analysis using Excel and SQL to identify performance trends and fleet-wide optimisation opportunities.

KEY PROJECTS & ACHIEVEMENTS

• Local RAG Pipeline (Personal Project): Built a fully local Retrieval-Augmented Generation (RAG) pipeline enabling natural language querying and summarisation of PDF documents — entirely on-device with zero API calls and no data leaving the environment. Tech stack: Python, LangChain, Ollama, ChromaDB. Implemented a Jenkins CI/CD pipeline with automated Pytest test suite: code pushed to dev branch triggers tests automatically, and on passing, merges to main - demonstrating GitOps-style automated release workflow.

• Cloud Infrastructure & Database Reliability Framework (Personal Project): Tech Stack: Terraform, AWS (VPC, ALB, ECS/Fargate, RDS), Docker Compose, PostgreSQL, GitHub Actions, Shell Scripting.

Architected a modular, multi-environment (dev/prod) Terraform codebase provisioning VPC, ALB, ECS/Fargate, and a private RDS instance with least-privilege security groups and environment- specific sizing, backup retention, and deletion protection.

Built a GitHub Actions CI pipeline running terraform fmt, validate, and plan on every PR, surfacing plan output for review - enforcing infra-as-code hygiene without live cloud deployment.

• Cloud Migration & Landing Zone (Brightbots): Led end-to-end migration of robotic cleaning infrastructure to AWS - resulting in 40% improvement in system reliability, 30% cost reduction, and a fully cloud-native architecture.

• IoT Infrastructure at Scale: Implemented secure AWS IoT Core architecture connecting 100+ edge devices with 99.9% uptime, handling 50,000+ messages daily.

• Terraform IaC Framework: Initiated and deployed Terraform-based infrastructure-as-code for AWS resource management, enabling repeatable deployments and laying groundwork for GitOps-style workflows.

• Automated Data Analytics Pipeline: Built an end-to-end automated pipeline integrating Power BI, SQL, and Python - reducing manual reporting effort by 70% and delivering real-time operational insights. CERTIFICATIONS

• AWS Certified Cloud Practitioner - Amazon Web Services (2025)

• AWS Certified Solutions Architect - Associate (2026) EDUCATION

Bachelor of Technology (B.Tech.) - Noida Institute of Engineering & Technology (NIET) 2018 – 2021

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