Data & AI Software Development Engineer with 20+ years of experience designing, building, and optimizing software and data-driven systems. I specialize in end-to-end application architecture, cloud-native development, and AI-assisted workflows, with hands-on expertise across Python, Java/Scala, React, and AWS environments. My recent work includes building RAG ecosystems, integrating Whisper pipelines, and deploying CI/CD automation for large-scale cloud applications.
Throughout my career, I have led technical projects from concept to production, coached development teams, and driven modernization efforts in complex legacy environments. I bring a pragmatic, system-thinking approach focused on clean architecture, maintainability, and continuous improvement.
Curious and always learning, I continue to deepen my skills in modern AI frameworks and deep learning tooling.
– Core Strengths –
Technical Skills
- Full-stack development: Java/Scala, Python, JavaScript/React, Node.js
- Cloud & DevOps: AWS (S3, Lambda, Step Functions, API Gateway), GitLab CI/CD, Jenkins
- Data & Big Data: SQL/NoSQL (PostgreSQL, MongoDB, ElasticSearch), Hadoop/Spark ecosystems
- AI/ML & RAG: Whisper, LangChain, ChromaDB, Grafana, model orchestration & pipeline design
- Software Architecture: API design, distributed systems, maintainability, optimization
Soft Skills
- Leadership and mentorship (team coaching, knowledge transfer, guiding senior teams)
- Clear communication across technical and non-technical stakeholders
- End-to-end project ownership and structured problem-solving
- Capacity to modernize legacy systems while aligning with business constraints
- Ethical and sustainable engineering mindset (resource efficiency, privacy by design)
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