M

Muh.Kemal Lathif Galih Putra

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Jakarta, Indonesia

Contact Muh.Kemal regarding: 
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Starting at USD4k/month

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Résumé


Jobs verified_user 0% verified
  • AAI Labs
    Remote AI Engineer
    AAI Labs
    Jan 2026 - Current (6 months)
    • Engineered a specialized additional security functionality for AI chatbot systems, implementing robust logic to enforce response constraints and minimize model hallucinations for high-reliability outputs. • Conducted rigorous model exploration and benchmarking across various LLMs to identify and integrate the optimal architecture based on performance, inference latency, and cost-efficiency. • Proactively researched and identified potential future system vulnerabilities and edge cases, implementing preemptive enhancements and optimizations to future-proof chatbot performance and scalability.
  • Grab
    Research & Data Intern
    Grab
    Jan 2025 - Current (1 year 6 months)
    • Designed and executed a hypothesis-driven analysis on a major project experiment, utilizing Hypothesis Testing and Comparative Testing to validate business impact. • Engineered and deployed AI agents embedded into a Slack bot to automate data analysis workflows and real-time report generation, significantly boosting analyst efficiency. • Leveraged Multimodal AI for recognition and analytical conversation processing across business calls to enrich domain understanding and extract critical insights.
  • Nara Institute of Science and Technology
    Research Intern
    Nara Institute of Science and Technology
    Jan 2025 - Current (1 year 6 months)
    • Selected as 1 of 6 participants from South East Asia to conduct a year-long with 2 months on-site in Nara, Japan on an AI research internship focusing in a Multimodal AI Architecture to develop a 'Healthy Digital Twin' for ALS and Stroke patients, focusing on restoring natural speech and expressive facial communication. • Implemented AI-based voice cloning techniques to generate personalized synthetic speech, contributing to assistive communication tools. • Explored ethical, technical, and user-experience aspects of human-AI interaction in sensitive health-related applications.
  • Universitas Indonesia
    Teaching Assistant
    Universitas Indonesia
    Jan 2025 - Current (1 year 6 months)
    • Designed and developed the final project involving regression, classification, and clustering tasks on anime sales data, helping students apply AI and data science concepts to real-world datasets. • Assessed student understanding by grading lab assignments covering key data science topics such as data visualization, supervised and unsupervised learning, and evaluation metrics. • Delivered lectures and tutorials on feature selection and data preprocessing for the final exam, improving student comprehension of data preparation techniques. • Strengthened instructional and communication skills through active involvement in academic mentoring and assessment.
  • Universitas Indonesia
    Staff
    Universitas Indonesia
    Jan 2023
    • Concepted, prepared and executed for a month-long Data Science Academy, showcasing adept logistical and planning skills. • Make a collaboration with professionals mentor, managing a dedicated team and ensuring mentorship sessions occurred weekly, fostering a supportive learning environment. • Demonstrated versatility as the Master of Ceremonies (MC), Time Keeper, and operator during the academy, seamlessly coordinating and facilitating smooth proceedings for an enriching educational experience.
Education verified_user 0% verified
  • F
    Python Basic
    Fasilkom UI
    Aug 2022 - Dec 2022 (5 months)
  • Kaggle
    Kaggle Learn courses
    Kaggle
    Jan 2022 - Aug 2022 (8 months)
  • Universitas Indonesia
    Bachelor of Computer, Computer Science
    Universitas Indonesia
    Jan 2022 - Current (4 years 6 months)
    • Current GPA: 3.94/4.00 • Leadership: Teaching Assistant of Statistics and Probability and Calculus 1 at Fasilkom UI | Head of Public Relations at FUKI Fasilkom UI | Staff of Data Science Academy at COMPFEST 15 | Intern as Staff of Public Relation BEM Fasilkom UI | Head of Internal Control at FUKI Fasilkom UI.
  • d
    Machine Learning
    dicoding
    Jan 2022 - Aug 2022 (8 months)
  • K
    Kelas.work ML/AI courses
    Kelas.work
    Aug 2022 - Dec 2022 (5 months)
  • F
    Spoken Language Processing course
    Fasilkom UI
    Jul 2025 - Dec 2025 (6 months)
  • S
    Natural Science
    State Senior High School 81 Jakarta
    Jan 2019 - Jan 2022 (3 years 1 month)
    • Leadership: Vice Chief of ROHIS SHS 81 Jakarta | Staff of Commission 1 on Class Consultative Assembly SMAN 81 Jakarta | Staff of Mathematics Science Club SMAN 81 Jakarta
Projects (professional or personal) verified_user 0% verified
  • I
    Top 1000 Movies: Web-based Knowledge Graph Integration
    Independent project
    Jul 2025 - Dec 2025 (6 months)
    • Developed a web application integrating local RDF datasets with Wikidata using SPARQL to provide detailed and dynamic movie information from the Top 1000 highest-grossing and highest-rated movies. • Designed and implemented an ontology with 7 classes, 7 object properties, and 15 data properties to unify and semantically link data from multiple sources. • Built the backend using Flask and Blazegraph, with deployment on Google Cloud Platform, enabling efficient RDF storage, SPARQL querying, and real-time data integration. • Created a responsive frontend with Next.js and Tailwind CSS, featuring advanced search, genre/year exploration, detailed financial analytics, and top-profit movie rankings. • Leveraged Wikidata’s knowledge graph to enric
  • I
    Whisper-Based Automatic Speech Recognition: Improving ASR Performance for Local Javanese Language
    Independent project
    Jan 2025 - Jun 2025 (6 months)
    • Developed an Automatic Speech Recognition (ASR) system using Whisper models, focusing on fine-tuning for the Javanese language. • Utilized ID-ASR Javanese dataset with preprocessing, training, and evaluation, achieving a Word Error Rate (WER) of 0.55 and a Character Error Rate (CER) of 0.15 after fine-tuning. • The project highlights the effectiveness of model adaptation for low-resource languages, addressing challenges like dialectal variation and data scarcity.
  • X
    IELTS Learning & Question Answering RAG System for XPlodia Startup
    XPlodia
    Jan 2025 - Mar 2025 (3 months)
    • Developed a LangChain-powered Retrieval-Augmented Generation (RAG) system to answer IELTS learning materials and practice questions, built on a curated dataset of PDFs and official IELTS reports. • Applied all-mpnet-base-v2 as the embedding vector model for high-precision semantic search and integrated gemini-2.5-flash as the LLM for efficient retrieval-based response generation. • Implemented document chunking to enhance context matching and deliver concise, 1–3 sentence AI-generated answers aligned with the provided materials and question banks. • Normalized model outputs and appended custom opening/closing phrases reflecting XPlodia’s mascot persona, ensuring brand consistency and an engaging learning experience.
  • J
    Machine Learning Classification Model for Predicting Building Damage Levels Due to Earthquake Disasters
    JOINTS
    Jul 2023 - Dec 2023 (6 months)
    • Tasked with analyzing building characteristics post-earthquake events with magnitudes ranging from 7.5 to 8.5 on the Richter Scale and depths of 8-10 km. The goal is to identify features of minimally damaged buildings and predict damage levels for future seismic events in the region. • Traditional statistical models proved inadequate due to incomplete or incompatible data. The solution is implemented in advanced machine learning techniques, including Random Forest Classifier and Light Gradient Boosting Machine. • Improved prediction accuracy aids in proactive disaster management and enhances preparedness strategies in earthquake-prone areas. Highlights the efficacy of machine learning in addressing complex data analysis tasks for disaster
  • J
    Fire Detection System Using Deep Learning CNN: Enhancing Disaster Preparedness in Indonesia
    JOINTS
    Jun 2023 - Jul 2023 (2 months)
    • Advanced fire detection system leveraging deep learning technology to mitigate damages and ensure public safety in Indonesia. • Integration of cutting-edge computer vision algorithms enables real-time analysis of CCTV video feeds for early fire detection. • Continued research focuses on refining system accuracy and scalability to extend its applicability in broader disaster management initiatives. • Applied principles of data science and computer vision to develop and refine intelligent AI agents, enhancing the predictive capabilities and autonomous response features of the fire detection framework.
Awards verified_user 0% verified
  • 3
    3rd Winner of Fit Competition 2024 - Data Science Competition
    Jul 2024
  • 3
    3rd Winner of Joints Data Competition 21
    May 2023
  • F
    Finalist of Find It! - Data Analytics Competition
    May 2023