Currently @ Sinarmas Group · Xiaomi AV Project

Ahsan Firdaus.

Team Leader · AI Operations · Machine Learning

I lead 50+ data professionals delivering precision annotation for next-generation autonomous vehicles — bridging ML expertise with operational excellence.

50+ Professionals Led
7,870 Datasets / Month
100% Accuracy Post-Revision
View My Work Let's Connect
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00 · About

Bridging technical depth
with operational scale.

I'm a Team Leader at PT Dalligent Solusi Indonesia (Sinarmas Group), currently heading the data operations for Xiaomi's Autonomous Vehicle project. My work sits at the intersection of machine learning, data quality, and people leadership.

What sets me apart is the combination: I have hands-on ML experience from Bangkit Academy (Google, GoTo, Traveloka) where I graduated with Distinction, and I've scaled that technical understanding into leading large cross-functional teams. I don't just manage — I understand the work deeply.

Whether it's resolving complex LiDAR annotation edge cases, optimizing QA pipelines, or mentoring junior annotators — I bridge the gap between what the model needs and what the team delivers.

Team Leadership ML Engineering Data Annotation AV Perception ERP Systems Process Design
Ahsan Firdaus
AF
Location Depok, West Java · Indonesia
Education Master's · Universitas Gunadarma
Languages Indonesian (Native) · English (Fluent)
Open To Tech Leadership Roles
01 · Experience

Where I've Built Things.

Current

Team Leader — Autonomous Vehicle Project

PT Dalligent Solusi Indonesia (Sinarmas Group)

Oct 2025 – Present

Leading 50+ data professionals (annotators & QA) delivering high-precision datasets for Xiaomi's autonomous vehicle perception models. Reporting to Project Manager with 10+ direct reports.

7,870 datasets in one month
100% accuracy post-revision
50+ team members
  • Optimized end-to-end data pipelines from 2D camera labeling to 4D LiDAR QA verification
  • Facilitated daily shift management and performance audits to exceed client benchmarks
  • Promoted to Team Lead within 3 months based on exceptional performance
  • Acted as technical liaison between annotation team and management, resolving complex annotation ambiguities
2D/4D LiDAR Annotation Team Management QA Operations Xiaomi · AV
Ongoing

Course Assistant & IT Helpdesk

Lembaga Komputerisasi · Universitas Gunadarma

Sep 2022 – Present

Teaching database management & ERP to 200+ students across 5+ classes, while maintaining enterprise IT infrastructure for the university.

  • Delivered 9-week structured lectures on SQL, Adempiere & Microsoft Dynamics NAV for 20–40 students/class
  • Maintained 5+ VMware vSphere servers & 100+ computers — reduced downtime by 10%
  • Managed 200+ students across scheduling, grading, and stakeholder communications
VMware vSphere Active Directory ERP / SQL Technical Mentoring

Junior Technical Consultant

Dinamika Teknologi Informasi

Mar 2025 – Aug 2025

Customized Microsoft Dynamics 365 E-Learning Management System for enterprise clients, working across the full delivery lifecycle from requirements to UAT.

  • Built custom modules using JavaScript, plugins, and FetchXML — improving data accuracy and automating workflows
  • Collaborated with functional consultants to translate business requirements into technical solutions
  • Supported smooth UAT and system migration across LMS and Middle Office projects
Dynamics 365 JavaScript FetchXML UAT

Machine Learning Intern

Encryptix

Dec 2024 – Jan 2025

Built and shipped ML models for fraud detection and NLP classification, pushing fraud recall from near-zero to production-viable levels.

0.15 → 0.91 fraud recall improvement
F1 0.78 NLP classification
  • Built fraud detection pipeline with Random Forest & XGBoost using SMOTE resampling + hyperparameter tuning
  • Developed text classification models (spam SMS & movie genre) with TF-IDF & Logistic Regression
Random Forest XGBoost SMOTE TF-IDF Python
🏅 Distinction

Machine Learning Cohort

Bangkit Academy · Google, GoTo, Traveloka

Feb 2023 – Jul 2023

Graduated with Distinction from Indonesia's most competitive tech training program, focusing on applied ML, computer vision, and end-to-end product development.

  • Built face detection model with TensorFlow achieving 95% accuracy, integrated into Daily Cloud mood-tracking app
  • Collaborated across AI, mobile, and cloud teams to deliver end-to-end solution combining CV and NLP
TensorFlow Computer Vision NLP Google · GoTo · Traveloka
02 · Projects

Things I've Built.

A selection of technical projects across machine learning, computer vision, and data systems.

Featured · Ongoing
● Live

Autonomous Vehicle Data Pipeline

Leading end-to-end data annotation pipeline for Xiaomi's AV perception models — from 2D camera imagery to 4D LiDAR point cloud annotation, at scale.

7,870datasets/month
100%final accuracy
50+team members
2D Camera Annotation 4D LiDAR QA Systems AV Perception
ML · Python ↗

Credit Card Fraud Detection

End-to-end fraud detection system using ensemble ML methods. Applied SMOTE resampling and hyperparameter tuning to dramatically improve minority class recall.

0.15 → 0.91fraud recall
Random Forest XGBoost SMOTE Python Scikit-learn
Computer Vision · PyTorch ↗

Vehicle Counting Detection

Real-time vehicle detection and counting system built with YOLO and PyTorch Transfer Learning, trained on custom dataset for traffic monitoring.

90%accuracy
1,667training images
YOLO PyTorch Transfer Learning Python
TensorFlow · Mobile

Daily Cloud — Mood Tracking App

Bangkit capstone: mood-tracking app combining face detection (TensorFlow, 95% accuracy) with NLP journal analysis to surface emotional patterns.

95%face detection accuracy
TensorFlow NLP Computer Vision Android
NLP · Classification

NLP Text Classification Suite

Multi-task NLP pipeline covering spam detection and movie genre classification, built with TF-IDF vectorization and optimized Logistic Regression.

F1: 0.78genre classification
TF-IDF Logistic Regression NLTK Python
Research · In Progress

ML for Bitcoin Time-Series Prediction

Master's thesis: Comparative analysis of ML algorithms (LSTM, ARIMA, XGBoost) applied to financial time-series forecasting for cryptocurrency markets.

LSTM ARIMA XGBoost Time Series Python
03 · Skills

What I Work With.

◈

Leadership & Operations

People Leadership (50+ team)
Cross-functional Coordination
Stakeholder Communication
QA Operations & Process Design
Performance Management
◇

Machine Learning & AI

Data Annotation (2D/4D LiDAR)
TensorFlow / Keras
Scikit-learn (RF, XGBoost)
Computer Vision (YOLO)
NLP & Text Classification
○

Systems & Infrastructure

Microsoft Dynamics 365
VMware vSphere
Active Directory
JavaScript / FetchXML
SQL / Database Management
□

Certifications & Achievements

🏅

Distinction Graduate

Bangkit Academy · Google, GoTo, Traveloka · 2023

🌐

CCNA: Introduction to Networks

Cisco Certified · 2025

🌐

CCNA: Switching, Routing & Wireless

Cisco Certified · 2025

📝

TOEFL ITP — Score 597

English Proficiency

🥉

2nd Runner-Up — LIGA CODING For Beginner

2022

M.S. Software Information System Universitas Gunadarma · Expected Sep 2026 · GPA 3.82/4.00
B.S. Informatics Universitas Gunadarma · Aug 2024 · GPA 3.80/4.00
04 · Contact

Let's build
something great.

Open to opportunities in tech leadership, AI operations, and data-driven product teams. Based in Indonesia, open to remote and regional roles.

✉ ahsanfirdaus1@gmail.com in linkedin.com/in/ahsanfirdaus1 ⌥ github.com/ahsanfirdaus1
↓ Download Resume PDF · Updated 2026
Available for new opportunities