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