Shubham Kumar Manglam | Seeking Jobs in the field of AI

Shubham Kumar Manglam

Seeking Jobs in the field of AI

Based in Galway, Ireland

About

I firmly believe in the transformative potential of AI to bring positive change to the world. In my pursuit of this vision, I continuously explore and innovate to address real-world business challenges. As a machine learning engineer, my passion lies in the realms of computer vision and deep learning. email: skrmanglam@gmail.com

Skills

Projects

Static Sign Language Recognition on Resource constraint devices

Sign language detection using CNN on resource constraint devices (Jetson Nano). Pruning existing network to attain same level of performance and latency for enabling optimum performance on EGDE and Mobile devices like Jetson Nano. Using Docker to deploy the instance directly onto hardware.

Lean angle calculation through Posture Detection

Calculates lean angle, although can be useful for other applications as well, by the modification of the parameters passed to calculate angle function. It uses Mediapipe holistic library.

360 degrees Park view and parking slot detection

Code for generating Top view (360) from 4 surround cameras and find parking slots while identifying parked cars via Image processing and Deep Learning Techniques.

Natural language processing(NLP)

It contains notebooks for NLP tasks ranging from NER, Neural Machine Translation to Emotion detection.

Pub Crawl Recommender

Developing and testing various approaches to build a recommender system for recommending Pubs using LLM and database.

Experience

2020-2022

Senior Engineer at Mercedes-Benz

Developed Automation strategies and lead innovation topics related to Deep learning and Computer Vision topics. • Leading the cross-functional activity for innovation topics for AI/ML which increased department participation by 10 %. Created Kanban boards for assigning tasks across teams and used Agile methodologies (Weekly Sprints) to accelerate development process and meet testing timelines. • Implementing eye blink detection for driver for driver drowsiness detection using Mediapipe and dlib libraries. • Collaborating with stake holders to implement personalization features or recommendation systems based on AI technologies to give customers unique experience. Providing critical comments and suggestions on integrating vision and NLP systems to improve overall customer experience.

2019-2020

Software Engineer at KPIT Technologies

Involved in designing low latency streaming framework for autonomous vehicles. • Designing Low-latency video streamer on raspberry pi to be run on 4G network. • Evaluating G-streamer and other methods to achieve low latency to transmit data from vehicle in real time. • Designing GUI based automation testing framework for diagnostic testing in Python based Tkinter libs. • Used C++ to develop software for Inverter ECU for PSA Groupe/ Eaton following AUTOSAR/Misra C guidelines. • Using Git-Hub to version control of the inverter software.

Oct 2017- August 2019

Assistant System Engineer at TCS

ADAS {Advance Driver Assist Systems} Involved in POC of Autonomous Navigation and implementation on an RC car: • Implementing Deep Learning and Machine Learning for Autonomous navigation of RC scaled down model of a car. • Leveraging Python libraries, such as Keras, Tensorflow and OpenCV to build deep learning, Computer Vision network. • Implementing Deep Neural Network (Mobile SSD) to identify road signs and lane detection. Use of OpenCV to detect lane lines using Sobel edge detection and other libs.

Education

2022-2023

University of Galway

Pursued Masters in Artificial Intelligence with 1:1 degree.(anticipated) Subjects include: Advance NLP, Embedded Image Processing, Machine Learning, Data Visualization, Deep Learning (CNN, RNN, LSTM, Variational Auto-Encoders, Generative Adversarial Networks (GANs), Transformers (GPT), Programming in Python, Reinforcement Learning, Information Retrieval, Ethics in AI.