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Pavankalyan Reddy B

I’m a Backend & Cloud Engineer with 3+ years of experience designing and scaling secure, high-performance cloud applications. My expertise spans Python (Flask, FastAPI), AWS, Azure, CI/CD automation, Kubernetes, and infrastructure as code.

I’ve delivered 5+ enterprise projects across cloud migration, backend systems, and AI/ML integration—achieving results like:

50% faster deployments through automated CI/CD pipelines

99.9% uptime for critical applications during cloud migrations

30% faster API response times through microservice optimization

40% reduction in failed queries with RAG-powered Text-to-SQL workflows

Certified AWS Solutions Architect and Azure Developer, I combine strong technical depth with mentoring, cross-team collaboration, and a passion for building reliable, scalable

  • Role

    RAG Engineer

  • Years of Experience

    2.9 years

  • Professional Portfolio

    View here

Skillsets

  • Rsync
  • IAM
  • Jaeger
  • Jenkins
  • Kanban
  • Lambda
  • Loki
  • MLFlow
  • opentelemetry
  • OWASP
  • pytest
  • RDS
  • HTML
  • S3
  • Scrum
  • SIEM
  • Solara
  • SonarQube
  • SQL
  • SSH
  • Trivy
  • Ubuntu
  • VPC
  • Ploombercloud
  • CloudWatch
  • Bash
  • AWS
  • Docker
  • Flask
  • JMeter
  • Agile
  • Ansible
  • Apache Airflow
  • ArgoCD
  • Azure
  • CentOS
  • Python
  • CSS
  • Debian
  • DVC
  • EC2
  • ELK
  • FastAPI
  • GitHub Actions
  • Gitlab cicd
  • Google Cloud
  • Grafana

Professional Summary

2.9Years
  • Jun, 2023 - Present2 yr 11 months

    Software Engineer

    Osi Digital

Applications & Tools Known

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    AWS

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    Flask

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    Git

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    Linux

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    Docker

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    CI/CD

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    Jmeter

Work History

2.9Years

Software Engineer

Osi Digital
Jun, 2023 - Present2 yr 11 months
    Focused Back-end & Cloud Engineer. Oversaw design, deployment and maintenance of 8 projects and 20+ microservices; coordinated cross-team milestones and delivered quarterly releases. Architected and operationalized cloud AI/ML solutions leveraging RAG patterns, improving model inference latency by 50% and increasing throughput 2x. Developed and deployed 12+ scalable microservices using Python (Flask, FastAPI), improving average API response time by 30%. Authored and operated CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD), reducing deployment time 50% and increasing deployment frequency from monthly to weekly. Spearheaded cloud infrastructure automation on AWS (EC2, S3, RDS, Lambda, VPC) and Azure (AKS, Functions), cutting provisioning lead time by 40%. Established centralized logging and monitoring with Grafana, Loki and ELK, reducing mean time to detect/resolve incidents by 60%. Streamlined recurring operational tasks via scripting and orchestration, reducing manual interventions by 25%. Architected secure cloud solutions with scoped IAM roles and network segmentation, lowering security incident exposure and improving compliance posture. Participated in hiring and technical onboarding; mentored 4+ junior engineers on CI/CD and secure deployment practices. Orchestrated 30+ releases across DEV/QA/PROD for 34 concurrent projects, including rollback plans and post-release reviews. Directed migration of business applications to cloud platforms, improving availability from 99.0% to 99.9% for critical services. Constructed MLOps pipelines integrating training, evaluation and promotion to production, reducing model deployment time by 40%.

Achievements

  • Specializing in developing CI/CD pipelines and implementing AWS Backup across all services
  • Ensuring continuous monitoring and focusing on backend development within production environments
  • Led the development of a MEAN stack-based system with a 70% efficiency improvement
  • Achieved a 70% efficiency boost in an Online Charity Management System
  • Developed a cloud-driven Voting Application with a 70% user engagement increase

Major Projects

5Projects

E-Invoicing System Malaysia LHDN

    Developed RESTful backend APIs (Python + FastAPI) to meet Malaysia LHDN compliance; reduced integration defects by 35% through validation and certificate management. Coordinated go-live activities across IT, Security and Oracle EBS teams; completed production cutover within planned 48-hour maintenance window.

OneScan IDP

    Provisioned Dev/UAT/Prod stacks and RDS MySQL; containerized 8 services and deployed to AWS ECS (Fargate) with ECR image promotion. Implemented CI/CD with AWS CodePipeline / CodeBuild, reducing manual release steps by 85% and cutting deployment time by 45%. Delivered secure document parsing APIs (Python, Flask/FastAPI) and automated API validation with JMeter, increasing test coverage to 90%.

Cloud Text-to-SQL RAG & Self-Correction

    Architected a RAG TextSQL workflow using Amazon Bedrock (Anthropic Claude v2.1), Titan embeddings and OpenSearch Serverless; leveraged AWS Glue to index metadata for 100% of target datasets. Implemented an iterative SQL correction loop (LLM Athena validation prompt enrichment), reducing invalid SQL executions by 40% and lowering query failure costs.

MLOps for Predictive Analysis

    Orchestrated reproducible ML pipelines using Apache Airflow, MLflow and DVC; streamlined ETL to S3 and enabled model retraining cadence from monthly to bi-weekly. Containerized model artifacts and served inference via AWS Lambda + API Gateway, handling peak traffic increases of 3x without degradation.

Centralized Backup Secure Transfer System

    Established a centralized backup framework and onboarded 100+ remote servers; managed scheduled backups, retention rules and daily/weekly push policies. Implemented secure transfer agents (Python/Bash) using rsync/SSH and SSH tunneling for Finacle servers; reduced backup failures by 70%. Hardened backup artifacts with AES/GPG encryption and signed manifests (SHA256); enforced passphrase policies and orchestrated key rotation.

Education

  • Computer science and Engineering

    KL University (2023)

Certifications

  • Aws certified solutions architect - associate (saa-c02)

  • Pcep: certified entry-level python programmer

  • Az-204 azure developer associate