SRIRANGA CHAITANYA NANDAM
Aspiring Machine Learning Engineer
Corvallis,USA
Summary
Passionate engineering postgraduate with experience in machine learning applications development seeking a challenging position in the field of Software and AI/ML. Complex problem-solver with an analytical and driven mindset.
Overview
1
1
year of professional experience
6
6
years of post-secondary education
Work History
Junior Machine Learning Engineer
Autonomize AI
Austin, TX
04.2022 - Current
- Domain: Machine Learning, NLP, Health Care Data Analytics
- Trained and validated 30+ NLP BERT models on multiple datasets like PubMed, NCBI-Gene, MIMIC-III, and BC5DR for Name-Entity Recognition, Question Answering and Relationship extraction of unstructured EHR (Electronic Health Records) data, and achieved validation accuracy of 93%.
- Developed API for dashboard that displays clinical analysis trial data produced by ETL scripts run on data from queries on datasets Clinical Trials (AACT) and PubMed Knowledge Graph (PKG).
- Built data transformation pipelines using Python, C++ and PySpark to process and load huge datasets onto secure AWS RDS instances and OpenSearch instances.
- Managed team of engineers in India and collaborated to achieve target results.
Engineering Intern
AEYE Soft labs
Hyderabad, India
01.2020 - 04.2020
- Domain: Machine Learning, Vehicular Traffic Video Analytics
- Contributed to Vehicle detection and classification on traffic at Toll Plazas
- Built segmentation algorithms that can detect contours and localize segments for text detection/recognition (including metal surfaces)
- Also, built custom dataset and trained
- YOLO/SSD/Mobile Net models for vehicle detection and classification
Education
Master of Science - Computer Science Engineering
Oregon State University
Corvallis, OR 09.2020 - 12.2022
Bachelor of Technology - Computer Science Engineering
JNTU
Hyderabad, India 08.2016 - 08.2020
Skills
Python, C and Javascript
PyTorch, Tensorflow, Albumentations, OpenCV, TorchCV
Nodejs, Mongo DB, SQL
Docker WASM, AWS Cloud Services
Git, GitActions
Timeline
Junior Machine Learning Engineer
Autonomize AI
04.2022 - Current
Master of Science - Computer Science Engineering
Oregon State University
09.2020 - 12.2022
Engineering Intern
AEYE Soft labs
01.2020 - 04.2020
Bachelor of Technology - Computer Science Engineering
JNTU
08.2016 - 08.2020
Projects
Parking Lot Application - Deep Learning, Object Detection
- Developed an image analytics application for a parking lot for identification of empty/occupied slots.
- Built a custom dataset of parking lot images of different parking scenarios, trained YOLO v4 for detection and built a backed server with AWS EC2 infrastructure.
Object Detection Using Transformers
- Built a dataset of Balloons class and trained the DETR on “Balloons” class and obtained better and precise detection results compared to other object detection models with an improved testing accuracy of about 3%
Object detection using YOLO on Custom dataset – Deep learning, PyTorch
- Built custom dataset with four classes Hardhat, Vest, Mask, and Boots and annotated it for training and tested the model running it on a video and observed an improvement in validation accuracy by 4%
CIFAR-10 Image Classification using a custom neural network - Deep learning, PyTorch
- Developed and trained a custom neural network by applying regularization and data augmentations on the data and achieved an accuracy of 93.56% over 10 classes
- Also, Adapted One cycle LR finder policy for training to reduce the cost of training and for model assessment at the initial stages of training.