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AI Engineer
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About
AI Engineer with 2 years of experience building and deploying production-grade AI systems using LLMs, NLP, and data-driven automation. Specialized in agentic architectures, retrieval-augmented generation (RAG), and intelligent workflow automation. Strong ability to translate complex business problems into scalable AI-powered solutions integrated with real-world systems, APIs, and backend platforms.
Experienced in building production-ready AI features with focus on reliability, performance, and system design.
Experience
Forward Deployed AI Engineer (ML & Automation) at Cloud4C (2024-09 – Present)
- Built and deployed AI-driven automation systems by analyzing operational workflows and system logs, improving process efficiency by 30%.
- Designed and implemented LLM-based solutions for workflow optimization, including intelligent automation and decision support systems.
- Developed scalable Python data pipelines for extracting, transforming, and analyzing large-scale operational datasets.
- Integrated machine learning and anomaly detection models into production systems, reducing incident detection time and improving system reliability.
- Built backend integrations and APIs to connect AI/ML models with enterprise applications and operational systems.
- Automated reporting, monitoring, and operational dashboards, reducing manual effort by 40%.
- Collaborated with cross-functional teams to convert business requirements into scalable AI-powered solutions.
Education
Bachelor of Computer Science in Artificial Intelligence – DKTE College of Engineering, Ichalkaranji (2020 – 2024)

