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Aditya Vikram Singh

@adityavikramsingh

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AI/ML professional with over 4 years of experience

India

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What I'm looking for

Looking for a challenging role that leverages my AI/ML expertise to drive business growth and improve people's lives.

As a seasoned AI/ML professional with over 4 years of experience, I possess a strong skillset in natural language processing (NLP), computer vision (CV), and recommendation systems. My expertise in these areas is best exemplified by my work on Smart Care Plan and Automatic Number Plate Recognition (ANPR), two highly impactful projects that required extensive knowledge of NLP, CV, and recommendation systems.

Throughout my career, I have worked on various projects that showcase my ability to develop innovative solutions using AI/ML. My experience in developing recommendation systems, computer vision models, and natural language processing has enabled me to make significant contributions to the healthcare and logistics industries.

I am passionate about staying updated with the latest advancements in AI/ML and applying my knowledge to drive business growth and improve people's lives.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

ResMed

Aug 2022 - Present (2 years 10 months)

Implemented a Smart Care Plan Suggestion system that assists nurses in creating personalized care plans for patients.
Developed a Fall-Risk model Hybrid Model that accurately predicts the fall risk score for patients.
Helped to develop a service that extracts patients’ medical details & gives the medical summary from uploaded documents in PDF or image format.

Python SQL Java C C++R Keras TensorFlow PyTorch OpenCV NumPy Pandas NLTK Matplotlib fastAPI Flask AWS Sagemaker EC2 EKS Kafka Docker Git Kubernetes Computer Vision NLP Classification Clustering Transformers REST APIs

Data Analyst

ByteLearn

Nov 2021 - Sep 2022 (10 months)

Led a team of 10 people to build the solvers for circles and percent-based problems using the Low-Code platform and Python.
Developed an AWS-Lambda function to generate the images for circles for given a problem at every step.
Developed an object detection model for detecting the position of problem figure and text region and deployed the model on AWS EC2.

Python AWS Lambda Low Code Object Detection AWS EC2

Freelancing Machine Learning Engineer

Rüdiger Wöhrl GmbH

May 2021 - Nov 2021 (6 months)

Developed an ANPR that recognizes the license plate number of all European countries with 97% accuracy.
Developed a system that recognizes the container number of shipping containers with 95% accuracy.
Developed a system that triggers a signal if the vehicle is not perfectly aligned on the weighing scale which helps measure the right weight.

Python SQL TensorRT TensorFlow PyTorch Deep Learning Frameworks (Pytorch Machine Learning Frameworks (PyTorch Computer Vision

Backend Developer

ParallelDots

Jan 2021 - Jun 2021 (5 months)

Implemented the business logic for different customers for their products using the intermediate result generated by computer-vision models.
Developed and maintained 20+ REST APIs for different customer as per their need.
Optimized SQL queries for heavy load parts of the system, which improved website responsiveness.

Python SQL FastAI Backend Development REST APIs SQL Optimization

Intern Data Scientist

Edgistify

Deployed a pipeline that downloads daily newspapers from different sources and extracts the To-Let/Availability information of the warehouses from the advertisement section using YOLOv4, OpenCV (image processing), and PyTesseract. Build an automated tool that extracts warehouse information from Google Maps using Selenium and YOLOv4. Collected the warehouse information listed on multiple government

OpenCV PyTesseract Selenium BeautifulSoup