Joydeep Medhi

Product Manager

Bengaluru, Karnataka, India8 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Lead Data Scientist with 8 years of experience.
Expert in Machine Learning and Computer Vision.
Published patents and research papers in AI.

Stackforce AI infers this person is a Data Scientist specializing in AI and Computer Vision for Retail and Automotive industries.

Contact

Skills

Core Skills

Machine LearningComputer VisionUniversity TeachingData ScienceData Analysis

Other Skills

Generative ModelingStable DiffusionGenerative AITeam LeadershipStatistical ModelingResearch and Development (R&D)Team ManagementPresentationsData OperationsGoogle Cloud Platform (GCP)Deep LearningMachine Learning AlgorithmsTechnological InnovationBusiness InsightsNeural Networks

About

I'm a Lead Data Scientist at Lowe's, with around 8 years of experience in developing sophisticated Machine Learning, Computer Vision, and Deep Learning systems to enhance customer service and provide business insights in the retail sector as well as innovation in automotive domain. I hold a dual degree in Mathematics and Computing from the Indian Institute of Technology (IIT) Delhi. My expertise lies in designing efficient AI models, including Transformers and CNNs for real-time inference on embedded hardware, leading R&D projects for prominent companies like Mercedes-Benz and Lowe's, and publishing patents and research papers that highlight my industry and academic achievements. I am passionate about leveraging AI, including GenAI, LLM, VLM and Robotics to tackle real-world challenges and generate value for businesses and society alike.

Experience

8 yrs 5 mos

Total Experience

2 yrs 1 mo

Average Tenure

3 yrs 11 mos

Current Experience

Lowe's companies, inc.

Lead Data Scientist

Jul 2022 – Present · 3 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

Computer Vision/Deep Learning R&D and Product scaling in the Retail domain.
Customer Service Improvement and Business Insights through Computer Vision, Semi-Supervised Learning, Representation Learning and Active Learning for Object Detection. Vision Language Models, CLIPs.
Generative AI, GPU scaling, A/B Testing

Machine LearningGenerative ModelingStable DiffusionGenerative AITeam LeadershipStatistical Modeling+21

Mercedes-benz research and development india

2 roles

Senior ML Research Engineer

Apr 2021 – Jun 2022 · 1 yr 2 mos

Computer Vision/Deep Learning Research & Development for Production
FaceID/Driver Monitoring/ADAS Research and Development
Interior Sensing and Scene Understanding

Machine LearningPyTorchFacial RecognitionTeam Leadership3D ReconstructionConvolutional Neural Networks (CNN)+15

Machine Learning Algorithm Engineer

Dec 2018 – Mar 2021 · 2 yrs 3 mos

Intelligent Interior Assistant using Computer Vision/Deep Learning. Human Pose Estimation, Gesture Recognition for Mercedes-Benz Cars.
AI developer & Module owner of MBUX Gesture Recognition System for S-Class.

Machine LearningGenerative AIResearch and Development (R&D)PresentationsDeep LearningMachine Learning Algorithms+8

Silversparro technologies pvt. ltd.

Deep Learning Research Engineer

Jul 2018 – Nov 2018 · 4 mos · Gurgaon, India · On-site

Deep Learning & Computer Vision Research
Responsible for researching existing literature & developing new algorithms for computer vision applications (CCTV) in retail industry.
Developed Deep Learning models to detect persons & classify their gender and Age-Group from CCTV footage for retail statistics.
0.85 ROC-AUC achieved on imbalanced Age Data & 88% accuracy achieved on Gender Data using transfer learning with CNNs.
Proposed and Implemented new techniques for anchor box initialization using KMeans clustering in Faster-RCNN.
Convergence time decreased by 50 % and mAP & F1-score increased by 6 % and 7.3 % respectively.
Implemented new features for Tensorflow Object Detection API such as continuous validation during training & new validation metrics.

Core MLMLOpsGoogle Cloud Platform (GCP)Machine Learning AlgorithmsNeural NetworksPrediction+6

Indian institute of technology, delhi

Graduate Research And Teaching Assistant

Aug 2017 – May 2018 · 9 mos · New Delhi, Delhi, India · On-site

TA for Computer Programming Class
Conducted Labs for a class of 50+ MSc students

University LecturingMachine Learning AlgorithmsNeural NetworksUniversity TeachingPredictionTeaching+1

Kaust

Summer Researcher

May 2017 – Jul 2017 · 2 mos · Saudi Arabia · On-site

"Machine Learning in Genetics"
1) Worked on Classification of causative disease variant(s) with mutations using Machine Learning Techniques.
2) Successfully implemented and explored different Deep Neural Network architectures utilizing large genome sequencing data, interaction networks and ontologies and performed statistical tests for feature selection.
3) Studied Extreme Learning Machines for efficient learning on imbalanced class distribution and performed statistical tests for feature selection.
4)Worked on High-Performance GPU clusters using Tensorflow for implementation and tuning of DNNs.
"Achieved significantly improved ROC AUC 0.967 and Avg. Precision 0.964 on test data for fine-tuned model"

BiostatisticsCommunicationBiotechnologyData ScienceDeep LearningMachine Learning Algorithms+8

Mapmyindia

Summer Intern

May 2016 – Jul 2016 · 2 mos · New Delhi Area, India · On-site

"Data Analysis, Pattern Recognition GIS/Search Data"
1) Created an automated user-input analysis tool for API queries, integrate it with web-based GUI for proper analytics of Big Data using SQL queries in the backend. Successfully developed scripts for conversion of raw data into structured form using JSON parsing, Regular Expressions and Hashing Techniques.
2) Modeled and created automated API output analysis tools to improve firm's navigation search engine.
3) Minimized man-hours and boosted algorithm efficiency significantly, product consistently used by the firm.

Machine Learning AlgorithmsJavaDashboardsStatistical Data AnalysisPredictionGeographic Information Systems (GIS)+3