Fehru Mandala Putra AI Engineer

AI Engineer (Vision ML)

GDP Labs

Feb 2026 - Current (9 months)

◦ Computer Vision & Object Detection: Developed AI solutions focused on object detection, tracking, and real-time video understanding, applying state-of-the-art models to solve practical computer vision challenges. This included leveraging Large Language Models (LLMs) for advanced video and image understanding tasks, enhancing the contextual interpretation of visual data.
◦ AI Research & Prototyping: Researched and implemented cutting-edge AI models, translating findings from recent literature into functional prototypes ready for real-world deployment.
◦ Scalable System Development: Collaborated with cross-functional teams to build scalable, data-driven systems, continuously improving model performance and reliability on real-worl

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Core Technical Developer (BE)

aibeecara Indonesia

Jun 2025 - Current (1 year 5 months)

◦ Team Leadership & Mentorship: Supervised and mentored multidisciplinary teams across backend development, DevOps, and AI engineering, providing technical guidance and ensuring project deliverables met quality standards.
◦ Backend Development Supervision: Led backend development using Django framework, overseeing API design, database optimization, and integration of payment systems for the rebuilt Aibeecara application.
◦ DevOps Infrastructure Management: Managed DevOps operations using Docker containerization, Terraform for infrastructure as code, GCP cloud services, GitHub Actions for CI/CD pipelines, and implemented comprehensive monitoring with Grafana and New Relic.
◦ AI Engineering Coordination: Coordinated AI developm

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LLM Intern

GreenTree Capital

Apr 2025 - Jul 2025 (4 months)

• Email Classification Pipeline: Sourced and vetted email datasets, executed EDA (bigram analysis, word clouds) to validate suitability for NLP tasks.
• Data Engineering & Preprocessing: Cleaned, transformed, and staged raw email data—ensuring high-quality inputs for model training.
• Model Development & Evaluation: Built, fine-tuned, and benchmarked machine-learning classifiers (sentiment & intent) to achieve optimal accuracy and robustness.
• Cross-Functional Collaboration: Partnered with analysts and engineers to integrate NLP insights into broader analytics workflows and reporting.
• Utilized CI/CD and DevOps principles to facilitate the deployment of the NLP model on Azure for incoming email sentiment detect

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Lab Assistant Coordinator - Machine Learning and Big Data Laboratory

Institute Technology of Sepuluh Nopember

Mar 2025 - Oct 2025 (8 months)

◦ Team Leadership & Academic Coordination: Led a team of laboratory assistants in conducting classes as substitute instructors, ensuring continuity of academic activities and maintaining educational quality standards in the absence of lecturers.
◦ Laboratory Operations & Compliance: Oversaw laboratory operations and enforced organizational protocols, ensuring a structured and disciplined environment conducive to research and learning activities.
◦ Resource Allocation & IT Asset Management: Managed and coordinated the utilization of computational resources including workstations and servers, optimizing availability and access for research projects and practicum sessions.
◦ Digital Presence & Community Engagement: Spearheaded s

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Automation Engineer (Practical Work Intern)

Bank Negara Indonesia

Jan 2025 - Feb 2025 (2 months)

• Innovative WhatsApp Bot Development: Designed and implemented a WhatsApp bot to enhance customer engagement and streamline promotional outreach. The bot facilitated follow-ups with customers to address challenges in transitioning to the new application, significantly improving the efficiency of the Sales Department.

Software Engineerfor AI Data (Freelancer)

G2i Inc

Oct 2024 - Current (2 years 1 month)

• AI-Generated Code Evaluation: Evaluated the quality of AI-generated code, providing human-readable summaries and insights to ensure clarity and efficiency. • Solving Coding Challenges: Solved diverse coding challenges by writing functional and efficient code, ensuring optimal performance and scalability. • Test Case Development: Developed robust test cases to verify the efficiency and accuracy of code, enhancing reliability across projects. • Instruction Creation and Code Review: Created detailed instructions to assist others in understanding coding logic and conducted thorough code reviews before integration into AI models. • Variety of AI Projects: Worked on a wide range of projects, from evaluating Python code quality to developing ful

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AI Engineer

aibeecara Indonesia

May 2024 - Oct 2024 (6 months)

• VectorDB: Created a Vector Database (VectorDB) for storing history and retrieving it to implement Retrieval-Augmented Generation (RAG).
• Speech-to-Speech: Integrated Text-to-Speech (TTS) and Speech-to-Text (STT) systems for seamless speech interactions.
• Prompt Engineering: Performed prompt engineering using Gemini Pro to optimize interactions with large language models (LLMs).
• Leveraged infrastructure knowledge and scripting skills in PowerShell and Bash to deploy custom fluency and pronunciation scorer models on AWS, enabling real-time speech scoring for our speech agent via Deepgram Gemini API with gRPC protocol, enhancing the naturalness and accuracy of user speech interactions.
• Utilized Kubernetes for handli

Fehru Mandala Putra

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Fehru Mandala Putra

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