Sameer Sardar

Data Engineer

Pune, Maharashtra, India4 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven Computer Vision and Robotics.
Led large-scale data annotation projects with high-quality standards.
Contributed to AI-powered perception systems for autonomous vehicles.

Stackforce AI infers this person is a Data Analyst with expertise in AI and Computer Vision for SaaS applications.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Data AnalysisData AnnotationComputer Vision

Other Skills

Python (Programming Language)Microsoft ExcelOpenCVDeep LearningMachine VisionMarket ResearchResearch Skillsk-means clusteringJavaSoftware testingManual TestingPerformance TestingSoftware Testing Life Cycle (STLC)Automated Software TestingGoogle Sheets

Experience

4 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 1 mo

Current Experience

Deltax

Lead- data Associate

Mar 2025 – Present · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

Lead Data Associate
Experienced in AI-driven Computer Vision, Robotics, and Sustainable Energy Systems. Skilled in managing and executing large-scale data annotation projects, ensuring high-quality labeled datasets for machine learning models. Proficient in Python, ImageProcessing, OpenCV, and integrated advanced technology solutions. Adept at leading annotation teams, implementing quality control processes, and collaborating with AI/ML engineers to optimize training data pipelines.

Artificial Intelligence (AI)Data Annotation

Feynn labs

Research Intern

Oct 2024 – Dec 2024 · 2 mos · Pune, Maharashtra, India · Remote

AI ML Research

Python (Programming Language)Artificial Intelligence (AI)

Predikly

Data Engineer

Jun 2023 – Dec 2024 · 1 yr 6 mos · Pune, Maharashtra, India · On-site

Led data annotation workflows for a fish welfare project, focusing on high-precision labeling of fish species and behavior from underwater imagery and video.
Developed structured annotation protocols to ensure consistency and accuracy across datasets, supporting deep learning model training for classification and behavior recognition tasks.
Collaborated with ML teams to refine labels based on model feedback, enabling iterative improvement of CNN-based models.
Utilized tools like CVAT, Labelbox, and OpenCV for bounding box annotations, keypoint labeling, and motion tracking.
Contributed directly to improving data quality used for training computer vision models in fish detection, species identification, and activity analysis.

Microsoft ExcelData Analysis

Nvidia

Data Analyst

Apr 2021 – Jun 2023 · 2 yrs 2 mos · India · Remote

Working at NVIDIA on the Autonomous Vehicles project, contributing to the development of AI-powered perception systems.
🔹 Strong expertise in object detection, classification, and 3D scene understanding using deep learning, computer vision, and OpenCV.
🔹 Hands-on experience in AI model training, dataset preparation, and validation for models like YOLO, Faster R-CNN, U-Net, and PointPillars.
🔹 Worked on diverse projects including Scene Labelling, Lane Detection, 3D Hazardous Object Detection, Cuboid Annotation, LiDAR Labeling, Free Space Detection, and Camera-based Vehicle Detection.
🔹 Skilled in tools like , OpenCV, and labeling platforms (Humanloop,Scene labeller).
🔹 Strong in team collaboration, agile workflows, and cross-functional communication.

Computer Vision