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Subburajan Perumal

Software Engineer — Cloud & Data Systems

I build AI-assisted logistics tooling, cloud ETL pipelines, and full-stack applications. Google Cloud Associate Cloud Engineer and AWS Certified Cloud Practitioner. Most of my recent work is in Python, FastAPI, React, and LLM agent frameworks — usually solving a specific data or automation problem rather than shipping a demo.

Chennai, Tamil Nadu, India
subburajanperumal@gmail.com
Subburajan Perumal — Software Engineer

Experience

Engineering career timeline

Software Developer

Current
Jan 2026 – Present· 9 months
Chennai, Tamil Nadu, India · Remote
  • Engineered an autonomous AI agent using Gemini LLM to extract complex ocean freight rates, surcharges, and D&D rules from unstructured Excel and PDF documents
  • Built a serverless recipe-driven ETL pipeline on Google Cloud Run Jobs, ingesting carrier rate workbooks from GCS and normalizing them into Next-Generation Tariff (NGT) schemas
  • Developed an end-to-end rate matrix normalization pipeline with dual-pipeline engine for FCL freight, arbitrary inland rates, and surcharges — reducing processing turnaround by 80%
  • Implemented sliding-window token optimization and deterministic business rule execution to eliminate LLM hallucinations in financial rate data
PythonFastAPIGemini APIAI AgentsGCPCloud Run JobsFirestoreDockerJenkinsETL

Software Developer

Door Sabha Nigam Limited
Jul 2023 – Dec 2025· 2 yrs 6 months
Chennai, Tamil Nadu, India
  • Developed investor relations audio conference portal with Conference API for quarterly earnings calls
  • Built a programmable voice messaging platform using Brekeke Voice API for automated message delivery
  • Led cloud migration (on-premises → AWS) achieving 40% infrastructure cost reduction
  • Integrated Algolia AI search engine delivering sub-50ms query response (10× speed improvement)
PythonFastAPIJavaSQLAWSReactWebSocketsAlgolia

AWS re/Start Graduate

Feb 2023 – Apr 2023· 3 months
Chennai, Tamil Nadu, India
  • Completed intensive AWS cloud training program covering EC2, S3, RDS, Lambda, IAM, and networking
  • Earned AWS Certified Cloud Practitioner certification upon program completion
  • Built hands-on lab projects deploying secure, scalable cloud architectures
AWSCloud ArchitectureNetworkingSecurity

Automation Intern

Ghostengines Technologies Pvt. Ltd.
Dec 2021 – Jun 2022· 7 months
Chennai, Tamil Nadu, India
  • Automated lead scoring, routing, and duplicate detection workflows using Python and RPA tools
  • Achieved 70% reduction in data entry errors and 40% decrease in lead processing time
  • Reduced manual operational overhead by ~80% across internal sales teams
PythonRPAProcess Automation

Projects

AI logistics systems, distributed ETL pipelines, and cloud-native engineering

AI & Document Intelligence
2026

AI Logistics Rate Intelligence & Extraction Agent

Autonomous multi-modal document intelligence agent using LLMs and deterministic business logic to parse and extract complex ocean freight rates, arbitrary surcharges, and D&D rules from unstructured Excel and PDF documents.

  • Sliding-window token optimization for nested multi-level table hierarchies
  • Deterministic business rule layer eliminating LLM hallucinations in financial rate data
  • Automated extraction of container sizes (20GP, 40GP, 40HC), origin/destination pairs, free-day rules
Gemini APIAI AgentsPythonGCPFirestoreDocker
Cloud & Distributed ETL
2026

Serverless Recipe-Driven Tariff Ingestion Pipeline

Cloud-native, event-driven ETL service on Google Cloud Run Jobs processing carrier rate workbooks asynchronously from GCS, standardizing them into Next-Generation Tariff schemas via declarative JSON recipes.

  • Zero-downtime carrier onboarding via declarative JSON recipes with sheet mapping and synonym rules
  • Async distributed task processing with Datastore/Firestore queue management and auto-retries
  • Strongly-typed intermediate data model with multi-layer schema validation
Cloud Run JobsGCSDatastorePythonETLDocker
Data Engineering
2026

Logistics Rate Matrix Normalizer & Transformer

End-to-end data transformation pipeline orchestrating concurrent conversion of disparate freight rate matrices into standardized FCL freight and surcharge schemas with automated cross-table validation.

  • Dual-pipeline engine for ocean freight, arbitrary inland rates, and surcharges
  • Automated D&D rules calculation with batch audit reports
  • 80% reduction in rate formatting turnaround time
PythonData NormalizationOpenPyXLBatch ProcessingSchema Validation

Background

Education, certifications, and skills

Education

  • Master of Computer Applications (MCA)

    Anna University

    2021 – 2023
  • Bachelor of Computer Science (B.Sc.)

    University of Madras

    2017 – 2020

Skills

Languages & Runtimes
PythonTypeScriptJavaScriptJava
Backend & APIs
FastAPINode.jsSpring BootFlask
Frontend
React.jsNext.jsTailwind CSSAngular
Cloud & AI
Google Cloud (GCP)AWSGemini / LLM AgentsTerraform
Data & Databases
Firestore / DatastoreMySQLMongoDBETL Pipelines
DevOps & Tooling
DockerCloud Run JobsGitHub ActionsGCS / S3

Get In Touch

Open for roles, collaborations, and interesting projects

Whether you have a project idea, an engineering role to discuss, or just want to connect — I reply to every message within 24 hours.

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