SARAN S

Software Engineer

Chennai, Tamil Nadu, India2 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building robust data pipelines for analytics.
Proven experience in AI/ML-driven solutions.
Strong focus on optimizing data flow and processes.

Stackforce AI infers this person is a Data Engineer with expertise in AI/ML solutions in the Healthcare and SaaS industries.

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Skills

Core Skills

Data EngineeringPythonMachine Learning

Other Skills

AI/MLApache KafkaApache SparkAzureAzure Data FactoryAzure Data LakeCascading Style Sheets (CSS)DashboardsData Lake ArchitectureData PipelinesData SolutionsData TransformationDeep LearningDelta TablesDeltalake

About

I am a skilled Python developer with a strong focus on problem-solving, automation, and building robust data pipelines for big data analytics. My expertise lies in transforming data into actionable insights, streamlining processes, and optimizing data flow across various platforms. With a solid background in machine learning and deep learning from hands-on experience, I bring a technical edge and analytical mindset to every project. As a dedicated team player with proven leadership skills, I excel in collaborative environments and am passionate about continuous learning and growth in the tech industry. I am committed to driving innovation and efficiency through data-driven solutions and look forward to contributing to impactful projects.

Experience

Star health and allied insurance co. ltd

Software Development Enginner - 1

Aug 2024 – Present · 1 yr 7 mos · Chennai, Tamil Nadu, India · On-site

Responsible for designing and developing end-to-end data solutions, including the creation of robust and optimized Delta Tables, ensuring efficient and scalable data pipelines for seamless incremental data loading.
Key Responsibilities:
Designed and implemented efficient and scalable data jobs to ensure smooth data flow and optimal performance.
Developed notebooks and scripts for Delta Table creation and management, aligned with best practices in data lake architecture.
Integrated data solutions into automated pipelines and job workflows, supporting real-time and batch data processing.
Created dynamic, insightful, and interactive dashboards and visual reports to provide business stakeholders with actionable insights.
Delivered Python-based solutions for custom data transformations, validations, and report generation.
Performed optimization of existing notebooks to reduce compute costs and improve execution performance, successfully enhancing multiple production notebooks.
Collaborated with cross-functional teams to understand data needs and translate them into reliable, maintainable solutions.

Delta TablesData PipelinesPythonData Lake ArchitectureData SolutionsDashboards+2

T-machine software solutions

AI/ML Developer

Jan 2024 – Jul 2024 · 6 mos · Chennai, Tamil Nadu, India · On-site

Key Responsibilities :
Developed and deployed AI/ML-driven productivity analytics solutions, including a classification model to distinguish between work-related and non-work-related employee activities—providing actionable insights to improve workforce efficiency.
Designed and implemented a real-time object detection system using YOLO (You Only Look Once) architecture, enabling live monitoring by accurately drawing bounding boxes around identified objects through video feeds.
Integrated OCR (Optical Character Recognition) using Tesseract to extract text from images and screen captures, feeding structured text data into downstream machine learning models for workflow pattern recognition and analysis.
Built a complete end-to-end machine learning pipeline, from data preprocessing and feature extraction to model training, evaluation, and inference.
Deployed the full AI solution into a Django-based web application, ensuring scalability, modularity, and real-time system responsiveness for seamless user interaction.
Leveraged Python, OpenCV, scikit-learn, and TensorFlow/Keras for model development, and implemented RESTful APIs for efficient integration between model logic and web components.
Delivered a robust platform enabling real-time monitoring, automated decision-making, and comprehensive productivity insights for business stakeholders.