Shreyas Gupta

Data Engineer

Noida, Uttar Pradesh, India2 yrs 4 mos experience

Key Highlights

Expertise in Robotics and Computer Vision.
Developed innovative solutions for autonomous vehicles.
Strong background in Machine Learning and Deep Learning.

Stackforce AI infers this person is a Robotics and AI specialist with a focus on Computer Vision and Machine Learning.

Contact

Skills

Core Skills

Computer VisionDeep LearningReinforcement LearningRoboticsData VisualizationMachine LearningImage ProcessingGesture Recognition

Other Skills

Cloud ComputingEmbedded CFirebaseFlaskGazebosGoogle Cloud Platform (GCP)Graphic DesignGroup WorkLeadershipLuaMATLABMediapipeMicrocontrollersMicrosoft AzureMotion Planning

About

Worked on my Master's thesis titled "Path Planning and Control for an Autonomous Vehicle," focusing on navigating unstructured, dynamic environments with high pedestrian density and multiple obstacles. My expertise spans Computer Vision, Reinforcement Learning , Artificial Intelligence, Deep Learning, and Robotics, complemented by hands-on experience also in VLSI, Embedded Systems.

Experience

2 yrs 4 mos

Total Experience

9 mos

Average Tenure

1 yr

Current Experience

S&p global

Data Engineer II, Machine Learning

Jun 2025 – Present · 1 yr

Botlab dynamics

Computer Vision Intern

Feb 2025 – May 2025 · 3 mos · On-site

Worked on developing real time vision based solutions to perform Human Detection, Tracking using UAV flying at altitude of up to 100m.

Computer VisionPython (Programming Language)Deep Learning

Infosys centre for artificial intelligence iiitd

Graduate Researcher

Jan 2024 – Jan 2025 · 1 yr · Delhi, India · On-site

Part of Vision Lab, worked on Path Planning and Control for development of an Autonomous Last Mile Vehicle, for my Master's Thesis.

Reinforcement LearningComputer VisionMotion PlanningMachine LearningRoboticscontrol system+2

Sbilab

Graduate Researcher

Aug 2023 – Dec 2023 · 4 mos · Delhi, India

Worked on study and implementation of SWIFT using MATLAB. SWIFT is a novel GMM based algorithm for clustering used to identify rare subpopulations in high dimensional Flow Cytometry dataset. Levine-32 data was used for the project. I was able to generate 34 clusters (desired number of cluster) each having 600 samples(0.57% population ) from a population of 104,184 data points. The clusters were visualized using scatter plots(Normal, Log, Logicle axis), PCA, LDA, T-SNE, UMAP, PHATE in Python

Data VisualizationPython (Programming Language)MATLABMachine LearningProbabilistic Models

Impledge technologies

Machine Learning Intern

Jul 2022 – Aug 2022 · 1 mo · Noida, Uttar Pradesh, India

Developed a Gesture Controlled Virtual Calculator
Takes operator, operand as input by reading the hand fingers shown in real time

Python (Programming Language)MediapipeOpenCVImage ProcessingGesture Recognition

Globallogic

Machine Learning Intern

Jul 2021 – Sep 2021 · 2 mos · Noida, Uttar Pradesh, India

Developed a tool for insurance companies using Computer Vision to automate the verification process of claims made for Car accidents. The car damage was detected using VGG-16.
Mask R-CNN, YOLO-3 was used to classify the damage severity and highlight the damaged area of the car.

Neural NetworksPattern RecognitionNumPyDeep LearningTensorFlowComputer Vision+2