Maleppa Karajol

Open to work

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Summary

Experienced Software Engineer with 3 years of expertise in Python, Machine Learning, and Signal Processing. Adept at designing and implementing advanced algorithms, managing large-scale data with MongoDB, and optimizing workflows in Linux environments. Passionate about leveraging technology to solve complex problems and committed to staying at the forefront of advancements in AI and computational systems. Skilled in delivering efficient, scalable, and innovative solutions tailored to user needs.

Contact & details

Bengaluru, Karnataka, India

Compensation

Current (yearly)

350000 INR

Expected (yearly)

1000000 INR

Skills

PandasPythonTensorFlowSeabornMachine learningScikit-learnMongoDBData analysisPyTorchMatplotlibNumPy

Experience

  • Software Engineer

    2022-06-10 – 2025-06-13

Education

  • Pes university banagalore · Btech · ECE · From 2018 – 2022

Projects

  • Predicting BP on smart watch with FDA approval

    2022-06-10 – 2025-05-10

    · Completed

    This project focuses on developing a non-invasive, cuffless blood pressure (BP) monitoring system integrated into a smartwatch using physiological signals and machine learning techniques. The goal is to enable continuous, real-time BP estimation while aligning the system design with regulatory expectations for clinical-grade devices. The system utilizes sensor data such as Photoplethysmography (PPG), heart rate, and derived features like Pulse Transit Time (PTT) and Systolic Time Intervals (STI). Advanced machine learning models, including regression algorithms and deep learning architectures, are trained to predict systolic (SBP) and diastolic (DBP) blood pressure values.

Languages

English (fluent), Malayalam (intermediate), Hindi (intermediate), Kannada (native)

Career preferences

Useful for recruiters: location, job types, salary range, and availability.

Location

Bengaluru, Karnataka, India

Preferred roles & locations
Python DeveloperML engineerData Scientist
Job types open to

Full-time, Freelance

Preferred shift

Flexible

  • Notice period: Immediate
  • Actively looking for opportunities

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