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Pranav Jadhav

I’m a Senior Machine Learning Engineer with 5+ years of experience building AI-driven solutions across healthcare and computer vision. Currently at Tricog Health, I develop deep learning and LLM-powered systems for echocardiography, including automated diagnosis, report generation, and semantic search over medical data. My work has improved diagnostic efficiency and reduced turnaround time significantly while achieving near human-level performance.

I specialize in deep learning, computer vision, and applied LLMs, with hands-on expertise in PyTorch, TensorFlow, HuggingFace, and end-to-end ML pipelines. From deploying real-time edge models to publishing research on dense retrieval and medical AI, I focus on solving complex, real-world problems with scalable and impactful solutions.

  • Role

    Sr ML & Reverse Engineer

  • Years of Experience

    7 years

Skillsets

  • LLMs
  • Self-supervised dl
  • Supervised dl
  • Unsupervised dl
  • Traditional image processing
  • TensorFlow
  • semantic search
  • Scikit-learn
  • rag
  • OCR
  • object detection
  • Metric learning
  • Python
  • HuggingFace
  • Flask
  • FastAPI
  • Docker
  • Diffusion modelling
  • AWS
  • OpenCV
  • MLOps
  • PyTorch
  • SQL

Professional Summary

7Years
  • Jan, 2025 - Present1 yr 4 months

    Senior Data Scientist

    Tricog Health
  • Jun, 2022 - Mar, 20252 yr 9 months

    Data Scientist

    Tricog Health
  • Oct, 2019 - Jun, 20222 yr 8 months

    Computer Vision Engineer

    SwitchOn Inc.
  • Jun, 2017 - Jul, 2017 1 month

    Trainee

    BSES Yamuna Power Limited
  • Jan, 2019 - Mar, 2019 2 months

    Machine Learning Intern

    Agsmartic Technologies
  • Aug, 2019 - Sep, 2019 1 month

    Computer Vision Engineer

    SwitchOn Inc.

Work History

7Years

Senior Data Scientist

Tricog Health
Jan, 2025 - Present1 yr 4 months

Data Scientist

Tricog Health
Jun, 2022 - Mar, 20252 yr 9 months
    Trained Dense Passage Retrieval model, authored research paper, developed Echo report generation system, built segmentation and regression models for echocardiography, created DICOM SR infrastructure, automated diagnosis processes.

Computer Vision Engineer

SwitchOn Inc.
Oct, 2019 - Jun, 20222 yr 8 months

Computer Vision Engineer

SwitchOn Inc.
Aug, 2019 - Sep, 2019 1 month
    Worked on Surface Inspection product with Anomaly detection, created OCR product, established edge deployment infrastructure for Nvidia Xavier/Nano and Intel NUC.

Machine Learning Intern

Agsmartic Technologies
Jan, 2019 - Mar, 2019 2 months
    Solved Agritech problems using classification and segmentation models.

Trainee

BSES Yamuna Power Limited
Jun, 2017 - Jul, 2017 1 month

Major Projects

4Projects

Open Source Contribution to Keras-CV| Object Detection, Augmentation

    Contributed and kicked off new branch of augmentation feature - PR

GradCam for Embedding Networks|Metric Learning, Explainable AI

    Implementation of Generalizing GradCAM for Embedding Networks paper - Repo

HairStyle Transfer using Diffusion | Diffusion models, Autoencoder, HuggingFace

    Modified Repaint Paper to generate random hairstyles for face and transfer hairstyle from source to target image

ArcFace Inversion | Explainable AI, Deep Metric Learning, Face Recognition

    Wrote code to reverse engineer pretrained ArcFace Model to generate class representations for explainability

Education

  • B.Tech in Mechatronics

    Delhi Institute of Tool Engineering, GGSIPU (2019)