cchiaramelli.dev

Senior Software Engineer

Cristiano Chiaramelli

Senior software engineer with 8+ years building production systems across large-scale distributed platforms, data ingestion and delivery pipelines, AI/LLM applications, and modern data architectures.

AI / LLMs · distributed systems · data platforms

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Portrait of Cristiano Chiaramelli

01 · About

Co-founder & CTO at Liven

I co-founded Liven in 2018 and led the technology organization across software engineering, applied AI, and data platforms, growing the tech team to about 30 people at its peak. I contributed hands-on across the full software lifecycle — solution design, architectural decisions, implementation, testing, and production operations — while leading and structuring multidisciplinary engineering squads.

I led architecture and design reviews across multiple squads and helped establish the code review practices and technical quality standards for the organization. My work spans large-scale distributed systems, data pipelines, AI/LLM applications, and modern data architectures.

02 · Selected work

Projects

A closer look at five projects I led or contributed to at Liven — spanning AI applications, distributed systems, data platforms, and regulated mobile software.

LLM-powered conversational sales platform

2026 · Liven

Agentic sales assistant running at scale, with tight product–engineering feedback loops.

Problem

Build a conversational sales experience that feels seamless to end users while driving measurable commercial outcomes — operating in a highly iterative environment where engineering, product, and AI decisions ship together.

Approach

  • Led architectural planning so the platform stays performant, observable, maintainable, and able to scale elastically in production.
  • Worked hands-on across both the software engineering and AI engineering layers, from application wiring through prompt and eval strategies.
  • Instrumented the runtime for evals and observability from day one, so iteration speed never came at the cost of production visibility.

Impact

  • Over 10,000 monthly conversations from the first month in production.
  • Strong commercial results alongside a seamless end-user experience.

Stack

  • Python
  • LangGraph
  • LangChain
  • Langfuse
  • LLMs
  • RAG
  • Agentic systems

High-throughput distributed messaging platform

2026 · Liven · telecom / IMS

SMS forwarding service for IMS infrastructure, engineered for ~300K req/min with strict telecom compliance.

Problem

Forward SMS traffic through IMS infrastructure at high volume, under strict telecom standards — requiring predictable latency, high throughput, and rigorous correctness guarantees.

Approach

  • Designed and delivered a large-scale distributed platform for data ingestion and delivery of SMS traffic.
  • Asynchronous pub/sub architecture with Redis-based caching for low-latency lookups on the hot path.
  • High test coverage with unit tests and integration pipelines using Testcontainers; load testing and profiling to validate performance targets before production rollout.
  • Built within a highly specified environment with compliance requirements based on telecom standards.

Impact

  • ~300,000 requests per minute across registrations and forwarded messages.
  • Validated performance targets via load testing and profiling before production rollout.

Stack

  • Distributed systems
  • Pub/sub
  • Redis
  • Testcontainers
  • Load testing
  • Observability

Document processing module for financial receipts

2025 · Liven

Image processing pipeline combining OCR and LLM-based extraction across multiple financial institutions.

Problem

Turn noisy, heterogeneous receipt images from many financial institutions into structured data reliably enough to run in production at scale.

Approach

  • Built an image processing pipeline combining OCR with LLM-based extraction, tuned to the variance across institutions.
  • Designed for production-grade throughput and accuracy, with monitoring over end-to-end extraction quality.

Impact

  • ~50,000 documents processed per month in production.

Stack

  • Python
  • OCR
  • LLMs
  • Document AI

Modern analytics platform for data-intensive enterprise use cases

2025 · Liven · enterprise

Medallion Lakehouse on Databricks unifying structured and unstructured sources for enterprise analytics.

Problem

Modernize the data foundations for enterprise-scale analytical workloads spanning multiple business areas, integrating structured and unstructured sources into a single standardized platform.

Approach

  • Delivered a modern analytics platform on Databricks and Azure using Medallion Lakehouse architecture and dimensional modeling.
  • Coordinated work across engineering, BI, and product stakeholders in a multidisciplinary team.
  • Focused on analytical workload ergonomics: consistent modeling, clear contracts between layers, and reliable pipelines.

Impact

  • Modernized data foundations serving enterprise-scale analytical workloads across multiple business areas.

Stack

  • Databricks
  • Azure
  • Medallion Lakehouse
  • Dimensional modeling
  • SQL

Native mobile + IoT medical application

2023 · Liven · FDA-regulated

Native mobile app paired with a medical IoT device over Bluetooth, rendering real-time signal under FDA validation standards.

Problem

Ingest and visualize a live medical signal from a Bluetooth-connected IoT device on mobile, with minimum latency and smooth UI — inside an FDA-regulated software validation process required for US market operation.

Approach

  • Built a native mobile application synced via Bluetooth with the IoT device.
  • Engineered the data path to ingest ~150 data points per second and render the signal in real time while keeping the UI smooth.
  • Developed within an FDA-regulated environment, conforming to the software validation standards required for US market operation.

Impact

  • Real-time signal visualization at minimum latency with ~150 data points per second.
  • Met FDA software validation standards for US market release.

Stack

  • Native mobile
  • Bluetooth (BLE)
  • Real-time rendering
  • FDA SDLC

03 · Skills

Technical skills

Languages
  • Python
  • TypeScript / JavaScript
  • Java
  • Go
  • Ruby
Backend & APIs
  • Large-scale distributed systems
  • High-throughput services
  • Event-driven & cloud-native apps
  • REST APIs
  • FastAPI
  • Node.js
  • Rails
  • Unit & integration testing
Frontend
  • React
  • React Native
  • Next.js
  • TypeScript
AI engineering
  • LLM application engineering
  • RAG
  • Agentic systems
  • Prompt & eval strategies
  • LangGraph
  • LangChain
  • Langfuse
Data
  • Databricks
  • Medallion Lakehouse
  • Dimensional modeling
  • SQL
Cloud & infra
  • Azure
  • GCP
  • Docker
  • CI/CD pipelines
  • Observability
  • Load testing
Practices
  • System design
  • Architecture & design reviews
  • Code review
  • Testing
  • Technical leadership
  • Agile methods
  • AI-assisted development

04 · Education & certifications

Education

2015 — 2020

Bachelor of Science in Computer Science

University of São Paulo (USP)

Certification

Google Cloud — Professional Cloud Architect

ID 172fda2b16d14a9086110464b345b836