Pradip Rachamalla

Software Engineer • Cloud & Distributed Systems • AI/ML Learner

Building scalable backend systems, cloud-native architectures, and exploring AI/ML concepts with structured, methodical depth.

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About Me

I'm a backend-focused engineer experienced in Java, Spring Boot, AWS, Terraform, Apache NiFi, and distributed architectures. I design secure systems involving TLS, SAML, cloud storage, streaming pipelines, and scalable microservices.

Recently diving deep into Artificial Intelligence, Machine Learning, NLP, and building structured learning systems with diagrams and clean documentation.

Core Skills

Backend & Cloud

  • Java / Spring Boot
  • AWS (S3, Lambda, KMS, SSM)
  • Terraform
  • Docker & Kubernetes

Security & Integration

  • SAML & OAuth
  • TLS & PKI
  • Apache NiFi
  • API Gateways

AI & Data

  • ML Fundamentals
  • NLP & Embeddings
  • RAG Systems
  • Streaming Architectures

Highlighted Work

Cloud-Native Log Processing

Designed a streaming pipeline compressing logs using Gzip and uploading to S3 using bounded queues and retry mechanisms.

Secure TLS Auto Configuration

Implemented dynamic PKCS12 keystore generation, expiry validation, and secure retrieval using AWS SSM.

RAG-Based Knowledge Systems

Built retrieval-augmented systems integrating vector search and structured documentation workflows.

Distributed Streaming Architecture

Integrated streaming systems with object storage for analytics-ready data lakes using Iceberg-compatible formats.

Get In Touch

Open to collaborations in backend engineering, cloud systems, and AI projects.

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