Krishna Sharma

Backend Engineer+DevOps Engineer

Building scalable cloud-native applications, AI-powered systems, production-grade APIs, and robust AWS infrastructure. Turning complex engineering challenges into reliable, performant solutions.

๐Ÿ† AWS Certified SAA
โšก 3.5+ Years Experience
๐Ÿค– AI & LLM Systems
โ˜๏ธ Cloud Native

About Me

I'm a Backend & DevOps Engineer with 3.5+ years of experience crafting cloud-native applications that scale. I thrive at the intersection of software engineering and infrastructure โ€” building systems that are not just functional, but resilient and observable in production.

My toolkit spans Python (Django, FastAPI), AWS infrastructure, containerization with Docker and Kubernetes, CI/CD automation, and cutting-edge Generative AI integrations including RAG pipelines and LLM orchestration.

I hold an AWS Solutions Architect Associate certification and continuously push toward building systems that are secure, performant, and a joy to operate.

3.5+
Years Experience
60%
DB Performance Boost
AWS
SAA Certified
0
Downtime Deployments

Certifications

aws certifiedSolutionsArchitectAssociate
Amazon Web Services
AWS Certified Solutions Architect โ€“ Associate
๐Ÿ… SAA-C03๐Ÿ“… Issued 2024โœ… Active
Verify on Credly โ†—

Technical Skills

โ˜๏ธCloud & Infrastructure
AWS EC2AWS S3AWS LambdaAWS RDSAWS ECSTerraformKubernetesDocker
๐ŸBackend Development
PythonDjangoFastAPIREST APIsPostgreSQLMongoDBRabbitMQRedis
๐Ÿ”งDevOps & CI/CD
JenkinsGitHub ActionsDockerKubernetesTerraformAnsibleHelmGitOps
๐Ÿค–AI & Observability
LLMsRAG PipelinesVector DBsLangChainSplunkCloudWatchPrometheusGrafana

Experience

IT BY DESIGN
Backend & DevOps Engineer
๐Ÿ“… 2023 โ€” Present ย ยทย  Full-time
  • Built a live reporting engine that processes real-time PSA data with high availability, reducing manual reporting overhead by 80%.
  • Migrated core services to PostgreSQL, improving query performance by 60% and reducing infrastructure costs significantly.
  • Designed and implemented end-to-end CI/CD pipelines using AWS, Jenkins, Docker and Terraform โ€” enabling zero-downtime deployments.
  • Managed production infrastructure at scale including EC2, ECS, RDS, and S3 with automated scaling policies.
  • Implemented centralized logging and monitoring with Splunk and CloudWatch, reducing mean time-to-detect incidents by 70%.
  • Built RAG-based AI chatbot integrations using LLMs and vector databases to power internal knowledge tools.

Featured Projects

๐Ÿง 

Document Intelligence RAG Chatbot

Upload any document and perform semantic Q&A using vector embeddings, retrieval-augmented generation, and LLMs. Supports multi-document context with chunking and hybrid search strategies.

PythonLangChainRAGVector DBFastAPIAWS S3
๐Ÿค–

AI Knowledge Assistant

LLM-powered contextual search and knowledge retrieval platform. Indexes internal documentation and provides conversational access to institutional knowledge with source attribution.

LLMsEmbeddingsDjangoPostgreSQLOpenAIRedis
๐Ÿš€

Cloud Native CI/CD Platform

Full-stack deployment automation platform built on AWS, Jenkins, Docker and Terraform. Features blue-green deployments, rollback capabilities, and integrated Slack notifications.

AWSJenkinsDockerTerraformKubernetesGitOps
๐Ÿ“Š

Live PSA Reporting Engine

Real-time reporting engine that ingests and processes PSA (Professional Services Automation) data. Features scheduled aggregations, custom dashboards, and email report delivery at scale.

DjangoPostgreSQLRabbitMQAWSSplunkCelery
๐Ÿ”

Centralized Observability Stack

End-to-end observability solution integrating Splunk, CloudWatch, and custom alerting. Reduced mean-time-to-detect production incidents by 70% with intelligent anomaly detection.

SplunkCloudWatchPrometheusGrafanaAWS LambdaPython
๐Ÿ›ก๏ธ

Infrastructure as Code Framework

Modular Terraform framework for provisioning complete AWS environments. Covers VPC, security groups, ECS clusters, RDS, and S3 with reusable modules and remote state management.

TerraformAWSVPCECSRDSS3

Get In Touch

I'm open to backend, DevOps, or cloud engineering roles where I can build impactful systems. Feel free to reach out โ€” I respond quickly.