AI/ML Engineer

Software Engineer building Data-driven Applications and AI-Powered Systems

Savish Kumar Kandregula

Specializing in Software Engineering, Scalable Data Systems, and Machine Learning. Creating intelligent systems that bridge the gap between digital intelligence and physical world applications.

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Published Research

Academic Publications

Peer-reviewed research contributions advancing the field of computer vision and health technology.

SpringerComputer VisionHealth Tech

Non-Invasive Heart Rate Tracking Using Facial Feature Extraction

A novel approach to contactless heart rate monitoring through advanced video processing and facial feature extraction techniques. This research explores real-time physiological signal detection using computer vision algorithms, enabling health metrics extraction without physical contact with the subject.

Focus Areas

Video Processing, Signal Analysis, ML for Healthcare

Technologies

OpenCV, Python, Deep Learning, Signal Processing

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Featured Work

A collection of projects spanning robotics data systems, computer vision research, and machine learning applications.

FeaturedRobotics Data Foundry

Project Axiom

Building comprehensive multi-modal datasets for humanoid robotics and physical AI systems. A data foundry approach to creating high-quality training data for next-generation robotic applications.

Computer VisionRoboticsMulti-Modal AIData Engineering
SourceLive Demo

Health Tech Research

Non-Invasive Heart Rate Tracking

Research project focused on contactless heart rate monitoring through facial feature extraction and advanced video processing techniques for health metrics.

OpenCVDeep LearningSignal Processing+1

Financial ML

Quantitative Crypto Analysis

Machine learning models for market-flow analysis and predictive trading strategies. Utilizing advanced quantitative methods for cryptocurrency market insights.

Time SeriesPyTorchQuantitative Finance+1

MLOps Tool

Model Validator & Debugger

Automated testing and debugging tool for ML models. Streamlines the process of validating model performance, identifying edge cases, and refining model behavior.

MLOpsTestingPython+1

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Technical Expertise

Core competencies spanning the full stack of AI/ML engineering, from research to production.

Computer Vision

OpenCVYOLOImage SegmentationObject DetectionVideo ProcessingTensorRT

Data Science

PythonPyTorchTensorFlowPandasNumPyScikit-learn

Robotics & Physical AI

ROSSensor FusionMotion PlanningMulti-Modal DataSimulationEdge Deployment

Development

PythonC++TypeScriptFastAPIDockerGit

ML Infrastructure

MLflowWeights & BiasesDVCModel ServingGPU OptimizationDistributed Training

Cloud & Data

AWSGCPPostgreSQLApache SparkAirflowKubernetes

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Let's Build Something

Interested in AI/ML engineering, robotics data systems, or research collaboration? I'm always open to discussing new projects and opportunities.

Location

Available Worldwide

Status

Open to Opportunities