Abhishek Uddaraju .

I design, develop, and implement advanced machine learning and robotics solutions to improve the world with technology.

Hi I'm

Junior ML Engineer - Omdena
Aug 2021 – Oct 2021
  • Analyzed sensor data and created an interactive dashboard for AI and IoT-based health monitoring systems.

  • Applied sequential models to IoT data and predicted human behavior with an average precision of 0.89.

  • Created data pipeline for a REST API capable of normalizing the disaggregated sensor data in real-time

ML Engineer - Omdena
Mar 2022 - Jun 2022
  • Engineered an end-to-end deep learning pipeline for Mosquito body part segmentation & achieved an Intersection over Union (IOU) of 0.93.

  • Led the modeling team & increased mosquito species classification accuracy by 8.3% using graph-cut methods.

  • Automated the labeling process and tested multiple computer vision models in TensorFlow and PyTorch.

Research Intern - IIT Indore
Jan 2022 – Apr 2022
  • Processed infra-thermal video sequence data for training deep learning-based perception algorithms.

  • Integrated Deep SORT and Kalman filters with acoustic sensors, achieving 93.4% UAV tracking accuracy.

  • Fused data from diverse sensors with NVIDIA Jetson Nano and optimized the data processing pipeline.

Experience .

Computer Vision Analyst Co-op - NDD Lab NEU
Jul 2024 - Present
  • Designed computer vision models to analyze body/facial movements for emotion detection in ASD.

  • Developed algorithms tracking 17 facial/body landmarks, identifying emotions like happiness and frustration.

  • Created ROSCO dataset with labeled expressions, advancing non-verbal communication analysis in NDDs.

Junior ML Engineer - Omdena
Aug 2021 – Oct 2021

Developed AI and IoT-based health monitoring systems with a real-time data pipeline, achieving 0.89 precision in behavior prediction and creating an interactive dashboard for sensor data analysis.

ML Engineer - Omdena
Mar 2022 - Jun 2022

Developed deep learning pipelines for mosquito body part segmentation (IOU 0.93), improved species classification accuracy by 8.3%, and automated labeling using TensorFlow and PyTorch.

Research Intern - IIT Indore
Jan 2022 – Apr 2022

Processed infrared video data and integrated Deep SORT, Kalman filters, and acoustic sensors, achieving 93.4% UAV tracking accuracy and optimizing multi-sensor fusion on NVIDIA Jetson Nano.

Experience .

Computer Vision Analyst Co-op - NDD Lab NEU
Jul 2024 - Present

I developed AI-driven computer vision models to analyze body and facial cues for emotion detection in autistic non-verbal individuals, contributing to assistive technology advancements using the ROSCO dataset.

Languages .

Tools & Frameworks .

Skills .

  • Machine Learning

  • Deep Learning

  • Computer Vision

  • Programming

  • Problem-Solving

  • Data Analysis

  • Mobile Robotics

  • Artificial Intelligence

  • Sensing and Mapping

Skills & Tools