Sergio Echeverri
Sergio Echeverri

Senior Software Engineer

Open to offers · Member since 24 Jul 2026
Message
Location
Miami Shores, United States
Desired salary
Unspecified
Work preference
Hybrid / Full Time
Experience level
Senior

About

Professional summary

I am a senior software engineer and data platform engineer with 9 years of experience building backend, machine learning, and data systems across fintech, capital markets, and insurance.

I have spent much of my career designing and operating streaming-first data platforms, including event-driven pipelines built with Apache Kafka, Protobuf, and Apache Iceberg, as well as governed analytics foundations using Databricks and Snowflake.

I am comfortable owning infrastructure end to end on AWS with Terraform, Docker, Kubernetes, EKS, and S3, and I place a strong emphasis on schema governance, data quality, observability, and least-privilege access.

In recent roles, I have built production AI and ML services, RAG applications, and agentic workflows using Python, FastAPI, Scikit-learn, PyTorch, TensorFlow, LangGraph, and related tooling.

I enjoy working closely with engineers, researchers, and stakeholders to turn experimental ideas into reliable production systems, and I also value mentoring others on engineering standards, testing, and deployment practices.

I am drawn to teams that value honesty, simplicity, and speed without sacrificing trust, and I am especially interested in helping build scalable, self-serve data and AI platforms.

Skills

49 capabilities

Tech stack & tools

Working toolkit

Analytics

Data Stores

Languages & Frameworks

Experience

Career history

Senior Software Engineer Allio Capital

Built customer-facing agentic workflows to automate complex financial research and advisory tasks using LangGraph, tool calling, structured outputs, multi-step planning, and human-review checkpoints.

Created a context and tool-integration layer connecting agents to proprietary financial datasets, internal services, and external APIs through permission-aware MCP interfaces, with controls for context size, token usage, and execution cost.

Established offline evaluation suites, guardrails, regression tests, and production sampling processes to detect hallucinations, unsafe actions, grounding failures, and workflow regressions before and after deployment. Also developed production AI and machine-learning services for research, investor behavior analysis, portfolio optimization, churn prediction, recommendation, and risk scoring.

Software Engineer Goldman Sachs

Developed machine-learning models for pricing, risk, and trading workflows using Python, Scikit-learn, XGBoost, and PyTorch, covering feature engineering, model training, hyperparameter tuning, offline validation, and batch scoring.

Created scalable training-data pipelines with Python, Pandas, Apache Spark, SQL Server, and Kafka, transforming high-volume financial data into reproducible datasets for research and production ML workloads.

Implemented schema validation, missing-value checks, feature-consistency controls, lineage tracking, and data-quality monitoring across ML datasets, and built model-serving and integration services with FastAPI and REST APIs.

Backend Engineer Claro Insurance

Developed Python and Flask backend services supporting insurance quotes, claims processing, underwriting workflows, and integrations with internal business applications.

Built REST APIs and MySQL data-access components for customer, policy, claims, and underwriting information, with structured error handling and request validation.

Implemented ETL and data-transformation pipelines, added data-quality checks and audit logging, and maintained AWS cloud infrastructure for backend applications and data-processing workloads.

Education

Learning history

Cornell University

Bachelor's Degree, Computer Science

Completed a Bachelor's Degree in Computer Science.

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