Prabhat Mishra

AI Researcher

Bengaluru, Karnataka, India9 yrs 6 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in Generative AI and Computer Vision.
Proven track record in retail fraud detection solutions.
Strong background in AI research and real-world deployment.

Stackforce AI infers this person is a Retail AI Specialist with expertise in Machine Learning and Computer Vision.

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Skills

Core Skills

Machine LearningComputer Vision

Other Skills

AI EngineeringAlgorithmsArtificial Intelligence (AI)C++Deep LearningDistributed SystemsGenerative AIHiveImage ProcessingKerasML OpsNatural Language ProcessingNode.jsNumPyObject Detection

About

Senior Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and Computer Vision, currently focused on developing innovative solutions to generate store insights, address theft, fraud, and organized retail crime at Target stores. Leveraging the power of GenAI and advanced vision systems driving impactful use cases. Previously worked at TCS Research and Innovation, contributing to high-impact projects in Machine Learning, Data Analytics, and AI Engineering. Known for bridging cutting-edge research with real-world deployment, bringing a strong mix of technical depth and applied problem-solving. Areas of Interest: - GenAI - Machine Learning - Computer Vision - Distributed AI - LLM Finetuning and Quantization - Software Engineering

Experience

Target

Sr Engineer - Machine Learning / Computer Vision

Sep 2021 – Present · 4 yrs 6 mos · Bengaluru, Karnataka, India

1. Driving the development of machine learning and computer vision solutions to address theft, fraud, and organized retail crime across Target stores.
2. Leveraging Generative AI techniques for video analysis to detect fraudulent human activity in retail environments.
3. Building models for miss-scan detection at self-checkout (POS) to identify non-compliant customer behavior.
4. Developing person re-identification systems to enable robust individual tracking within and across store locations.
5. Creating solutions to detect gift card tampering and abuse using multi-modal data inputs.
6. Previously part of the ML Ops team, where I contributed to the design and implementation of Target’s in-house feature storage platform to support scalable machine learning workflows.

Generative AIMachine LearningComputer VisionVideo ProcessingDeep LearningAlgorithms

Tata consultancy services - research

Machine Learning Engineer

Oct 2016 – Sep 2021 · 4 yrs 11 mos · Mumbai Metropolitan Region

Was part of the Research and Innovation Group - Tata Consultancy Services for five years. Have expertise in multiple AI technologies like Machine Learning, Deep Learning Computer Vision, Image processing & software development.
Cognitive Transformation Platform - An AI Platform Group at TCS R&I (2017- Present)
Worked on multiple POCs/POTs to solve the customer problems as part of the R&D Group.
Have done extensive research on the State-Of-The-Art models/solutions related to computer vision problems, optimizing its performance and executing the deployment strategies.
Worked on building core AI algorithms/models to extracting information from structured and unstructured data like images, audio, video, etc.
Written core AI models and algorithms to extract data from Agreement documents, Proof-Of-Identity documents, Transaction documents like invoices with variable formats, work orders, etc.
Table-based documents: Some documents such as pricing sheets, product specifications, etc. are table-based and the entire information.
To extract information from retail item packages like food, beauty packets, etc. Typical information which is present are product name, quantity, nutrition facts, ingredient tables, etc.
Worked on the Face Recognition technologies like face matching.
Masking sensitive information in a video file.
TCS Cognitive Transformation Platform- TCUP at TCS R&I (Oct 2016 - 2017)
Worked as a Developer in TCS DigiFleet which is an IoT-enabled End-to-End fleet Monitoring system. Link: https://www.youtube.com/watch?v=kPShwyl0y9w