Saksham G.

Key Skills

Software

OpenCV AI Kit (OAK)

Don't disclose

Other

Top Subject Matter

Computer vision for face mask detection

LLM/RAG system integration

Data analytics and reporting for project metrics

Top Data Types

Video

Image

Top Task Types

Object Detection

Prompt + Response Writing (SFT)

Freelancer Overview

Real-Time Face Mask Detection (project). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK), Don't disclose, and Other. Education includes Bachelor of Technology, GL Bajaj Group of Institutions (2025) and Senior Secondary (Class XII), S.B.S Public School (2021). AI-training focus includes data types such as Video, Computer Code, and Programming and labeling workflows including Object Detection, Prompt + Response Writing (SFT), and Computer Programming.

Labeling Experience

Siemens Ltd. — Software Intern (analytics dashboard + APIs)

Other

Built a data analytics dashboard and REST APIs to support project performance monitoring and real-time reporting for internal stakeholders. Used SQL and Flask-SQLAlchemy ORM to query and manage project data used in the analytics layer. Created interactive visualizations (bar/pie charts) and responsive interfaces to communicate metrics effectively. • Developed analytics dashboard using Python and Flask with SQL-backed data. • Implemented REST APIs for retrieving and processing project data. • Used Flask-SQLAlchemy ORM for efficient database querying. • Built interactive charts and responsive UI components.

2024 - 2024

LocalMind (RAG project)

Don't disclosePrompt + Response Writing (SFT)

Architected a Retrieval-Augmented Generation (RAG) system to improve AI context retrieval and downstream responses. Integrated custom AI models with backend infrastructure to streamline querying against external or indexed knowledge sources. Focused on improving end-user response accuracy by refining retrieval and generation flow. • Designed RAG architecture for enhanced context retrieval. • Integrated AI models with backend query/response infrastructure. • Improved response accuracy through system-level integration. • Enabled end-users to receive more accurate, context-grounded answers.

2024 - 2024

Real-Time Face Mask Detection (project)

OpenCV AI Kit (OAK)VideoObject Detection

Developed a computer-vision pipeline for real-time face mask detection using deep learning to analyze incoming video frames. Performed dataset preprocessing and trained a CNN model with TensorFlow/Keras, validating performance after tuning. Applied OpenCV-based frame analysis for inference and improved detection quality through iterative experimentation. • Prepared and preprocessed image/video datasets for model training. • Trained CNN models with hyperparameter tuning to enhance accuracy. • Implemented real-time video frame analysis using OpenCV. • Iteratively improved performance via targeted preprocessing and tuning.

2024 - 2024

Education

Work History