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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

    5 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

5Years
  • Jun, 2022 - Present3 yr 10 months

    Senior Machine Learning Engineer

    Tricog Health
  • Aug, 2019 - Jun, 20222 yr 10 months

    Computer Vision Engineer

    Switchon
  • Jan, 2019 - Mar, 2019 2 months

    Machine Learning Intern

    Agsmartic Technologies

Work History

5Years

Senior Machine Learning Engineer

Tricog Health
Jun, 2022 - Present3 yr 10 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
Aug, 2019 - Jun, 20222 yr 10 months
    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.

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)