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Esplora
Fiverr Pro
Italiano
$
USD
A Mello
@avmello
Developer for Practical Scripts, Tools and Bug Fixes
Brasile
Inglese
Chi sono
Hi, I'm Ana!
Artificial Intelligence Engineer @ Indicum.AI
BS Computer Science • Postgraduate Student in AI & Deep Learning
## Tech Stack
Generative AI: State of Art LLMs, AWS Bedrock, LangChain, Hugging Face Transformers, RAG
MLOps & Evaluation: Databricks, MLflow, Agent Evaluation Frameworks, Pydantic
Cloud & DevOps: GCP, AWS (Lambda, EC2, SageMaker), Docker, Bitbucket (CI/CD), Git Bash
Data Engineering: Apache Spark, Airflow, Kafka, SQL, MongoDB
Core Languages: Python (SOTA libraries), .NET (C#), C++, Bash
Competenze
A Mello
offline •
Consulta i miei servizi
Correzione di bug
I will debug your rest API errors and integration issues
Correzione di bug
I will fix frontend not receiving data from backend API
Esperienza lavorativa
Cloud Support Engineer 2
Atlassian (via e-Core) • Full time
Apr 2022 - Aug 2025 • 3 yrs 4 mos
• Built Python and SQL automation tools in Databricks and Splunk, reducing investigation time by 25% and resolution time by 30%. • Designed and automated Jira workflows with REST APIs, cutting manual workload and improving efficiency by 20%. • Developed and deployed a Python-based ML pipeline to optimize documentation indexing, improving search performance by 32%. • Partnered with engineering teams to troubleshoot backend system issues, contributing automation scripts and workflow improvements adopted in production. • Advanced from Intern > Support Engineer > Engineer 2 in two years due to consistent technical impact. • Managed 1,300+ SaaS enterprise cases, ensuring 98% SLA compliance and measurable CSAT improvements. • Served as the primary escalation point for 200+ critical L1/L2 incidents, driving positive customer outcomes under urgent conditions.
Robotics Engineering Intern
CETEC (Pernambuco Education Department) • Part time
Aug 2021 - Mar 2022 • 7 mos
• Implemented real-time face and emotion recognition systems using Python + OpenCV on NAO robots. • Optimized detection pipelines for low-resource hardware, achieving smoother inference performance. • Automated NAO robot actions by integrating Python scripts with low-code environments, improving testing workflows. • Delivered robotics workshops, teaching Python-based control systems and LEGO Mindstorms programming.
