Subhra Jyoti Mandal, Ph.D.

Product Manager

Bengaluru, Karnataka, India15 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

14 years of experience in AI and Machine Learning.
PhD in Quantum Physics with a focus on AI applications.
Pioneered computer vision solutions for vaccine production.

Stackforce AI infers this person is a Healthcare AI Engineer specializing in machine learning and big data solutions.

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Skills

Core Skills

AiMachine LearningNatural Language ProcessingBig DataQuantum Physics

Other Skills

AI-driven solutionscomputer visionresearchMachine Learning algorithmsAIML servicessolution architectureNLP algorithmsbig data managementETL processesdata securitybig data migrationdata preprocessinganalyticsKafkaHDFS

About

As a Principal AI Engineer at Advanced AI and Insights at GSK, a global leader in medical innovation, I lead the design and implementation of AI-driven solutions for GSK Vaccines. With over 14 years of experience in AI, machine learning, natural language processing, and computer vision, coupled with a PhD in Quantum Physics and Bachelor's and Master's degrees in Computer Science, I possess a robust foundation in these domains. I leverage cutting-edge techniques and tools like TensorFlow, PyTorch, and OpenCV to develop impactful solutions that enhance healthcare delivery efficiency. I am currently pioneering the development of a computer vision solution for monitoring vaccine production environments and exploring the potential for AI in healthcare. Additionally, I have introduced Gen AI capabilities to optimise the global supply chain process at GSK. Throughout my career, I have successfully managed numerous AI and NLP projects, implemented solutions on the Microsoft Azure platform, and established scalable model development processes. I aim to apply my expertise in AI and NLP to create.

Experience

15 yrs

Total Experience

3 yrs

Average Tenure

4 yrs 11 mos

Current Experience

Gsk

2 roles

Senior Lead AI Engineer at Advanced AI and Insights at GSK

Jul 2021 – Jan 2024 · 2 yrs 6 mos

I am designing and implementing an AI-driven Solutions for GSK Vaccines.
1. Designing and handling a computer vision solution for the Environment monitoring process in vaccine env.
2. Research on AIML empowers the healthcare industry.

AI-driven solutionscomputer visionresearchAIMachine Learning

Principal Gen AI Engineer | Advanced AI and Insights at GSK

Jun 2021 – Present · 4 yrs 11 mos

Developed and executed AI-driven solutions for GSK Vaccines, focusing on enhancing efficiency and productivity.
Spearheaded design and implementation of a computer vision solution to optimize the environment monitoring process within the vaccine environment.
Conducted extensive research on the intersection of Artificial Intelligence and Machine Learning, empowering the healthcare industry with cutting-edge advancements.

AI-driven solutionscomputer visionresearchAIMachine Learning

Datamatics

2 roles

AI/ML Architect | Artificial Intelligent & Cognitive science Group

Promoted

Nov 2017 – Jun 2021 · 3 yrs 7 mos

Conceptual design and Implantation Machine Learning algorithms, Natural
Language Processing(NLP) and AIML services.
>Design of computational models and algorithms in order to solve real-world
problems adequately, including agent-based modelling in Banking, Finance and
Retail domain.
>Solution architecture in AIML domain.
>Deployed AIML solution into Microsoft Azure Platform.
>Design and implement spark streaming platform for scalability.
>Project Management.

Machine Learning algorithmsNatural Language ProcessingAIML servicessolution architectureAIMachine Learning

NLP Engineer | Artificial Intelligent & Cognitive science Group

Mar 2016 – Oct 2017 · 1 yr 7 mos

Implemented and deployed NLP algorithms based on the business requirements.
Research Interest :
1. Language Modelling
2. Neural Information retrieval
3. Semantics search.
4. Deep learning models

NLP algorithmsresearchNatural Language Processing

Usha martin limited

Big Data Engineer

Dec 2015 – Apr 2016 · 4 mos · Kolkata Area, India

Managing the internal big data lab – day to day administration of the clusters, real time ingestion of data, monitoring ETL processes using Hive, Pig, etc.
Responsible for enabling and enforcing user and data security policies based on industry standard, managing user and group access to resources.
Work as key member of operational team and provide support to development and production teams.
Support and resolve operational issues for different projects.
Ensure data integrity and disaster recoverability of the system, perform data backup and restore during incidents.
Monitor and troubleshoot problems within clusters using Cloudera Manager, Cloudera Navigator and CentOS Admin tools.

big data managementETL processesdata securityBig Data

Business brio

Big Data Analyst and Researcher ( Start-up)

Nov 2014 – Nov 2015 · 1 yr · Kolkata Area, India

Project 1 : Migrating existing tally based backend system to BIG Data. Current system is facing challenge to handle 18 million records per day. Data feeds generated via mobile, desktop, tabs, and etc., ndergoes validation. Post validation data is collected, assembled and injected into Kafka to increase data durability which is later sinked into HDFS, Hbase and HIVE in parallel
Key Responsibilities
To inject retail data from various devices (laptop, tab, mobile etc.), post validation, into Kafka.
Sink Kafka data into HDFS and HBase in parallel.
Develop PIG scripts to extract, transform, and load data into HIVE tables.
Design and create HIVE data structures.
For the first phase of project design and develop few basic analytics using HIVE
Export the analytics output from HIVE to Oracle via SQOOP.
Project 2: Sentiment Analysis for Social media data.
To process unstructured textual data and extract meaningful numeric indices. To accomplish data preprocessing (Sentence detection, Tokenizing, Stemming, Stop word removing, irregularity removal, past-of-speech tagging, de-duplication, etc) , unsupervised learning method using k-means & Bayesian classifier, Latent semantic indexing, Hierarchical Agglomerative Clustering (HAC) were needed.
Key Responsibility
1. Data Preprocessing
2. Clustering
3. Prediction
.