Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Languages
Timeline
Awards
Publications
Skills
Skills Detailed
background-images

Dhruba Adhikary

Summary

Tech-savvy innovator with hands-on experience in emerging technologies and passion for continuous improvement. Skilled in identifying opportunities for technological enhancements and implementing effective solutions. Adept at leveraging new tools and methods to solve problems and enhance productivity. Excels in adapting to fast-paced environments and driving technological advancements. AI/ML Leader with 11+ years of experience across Generative AI, Agentic AI frameworks, Computer Vision, NLP, and Predictive Analytics. Proven track record in delivering multimillion-dollar business impact through production-grade AI systems in the healthcare, manufacturing, and financial domains. Experience in leading teams, scaling models on trillion-row datasets, and multimodal vision datasets on HPC and SCP environments at scale and deploying AI products with CI/CD pipelines ( CodePipeline, ECS/EKS, API Gateway).]


Overview

11
11
years of professional experience
1
1
Certification

Work History

AI Engineering Lead Level 3 (DS Architect)

AstraZeneca
04.2023 - Current
  • Designed and deployed Agentic AI products (InsightsIQ, ContentIQ, Marketer agents) leveraging state-of-the-art Generative AI designs using LangChain and LangGraph-based agents, coupled with CI/CD pipelines (Terraform, CodePipeline, ECS/EKS, API Gateway) for seamless integration.
  • Built an end-to-end marketing AI agent that reduced oncology drug launch timelines from 3 years to 7 months, saving over $10M in revenue.
  • Implemented graph-based HCP/KOL identification framework, boosting coverage by 5% and increasing projected lifetime revenue per HCP by more than $1M.
  • Scaled ML/DL algorithms on trillion-row datasets, enabling precision medicine rollouts across multiple therapeutic areas at enterprise scale.
  • Streamlined project workflows to enhance collaboration and reduce time-to-market for new products.
  • Collaborated with regulatory teams to ensure compliance with industry standards throughout project lifecycles.
  • Conducted thorough risk assessments for complex engineering projects, minimizing potential hazards while maximizing resource utilization.
  • Mentored junior engineers, fostering professional growth and improving overall team performance.
  • Drove innovation by researching emerging technologies, incorporating cutting-edge advancements into product designs.
  • Led cross-functional teams to develop innovative engineering solutions for drug delivery systems.

Research Data Scientist

Philips Health Care
05.2022 - 03.2023
  • Developed Advanced 3d Segmentation and Localization Models for 3D Brain Scans leveraging SOTA neural networks correcting MR inhomogeneities; cutting scan times from 1+ hour → 5 minutes while achieving 96% Dice Coefficient on 3D scans
  • Part of team filing patent for cardiac planar segmentation for image-guided therapy.
  • Built DL-based MR acceleration coronary calcium detection pipelines.- E2E Pipeline integration with Philips in house Software within 10 months timeline leveraging Image registration along with advanced image augmentations.
  • Worked effectively in fast-paced environments.
  • Proven ability to learn quickly and adapt to new situations.

Technical Manager

Capgemini Invent
09.2021 - 05.2022
  • Delivered 200+ prescriptive and predictive analytics use cases under the Industry 4.0 initiative for leading automobile clients.
  • Designed and deployed big data architectures integrating Kafka, AWS EMR, and advanced ML/CV algorithms for visual quality inspection and anomaly detection.
  • Architected and implemented seamless IT-OT integration, bridging operational and enterprise data flows for real-time decision systems.
  • Streamlined prognosis pipeline, improving client conversion by 70% through predictive maintenance and advanced forecasting analytics.
  • Developed strategic roadmaps for digital transformation initiatives, aligning technology with business objectives.
  • Led cross-functional teams to deliver innovative technology solutions, enhancing client engagement and satisfaction.
  • Implemented process improvements that increased operational efficiency, streamlining workflows across multiple projects.
  • Collaborated with stakeholders to define project scope, requirements, and deliverables, ensuring alignment with client goals.
  • Managed vendor relationships to ensure optimal resource allocation and integration of third-party services into projects.

Specialist Data Scientist

Robert Bosch
07.2019 - 09.2021
  • Led Roche Tissue Diagnostics WSI project using SOTA segmentation networks, AntsPy-based registration, and consensus modeling. Each FOV averaged 20GB per image at 50k × 50k resolution; improved immunohistopathology accuracy by 85% within 6 months.
  • Delivered AI/ML solutions for manufacturing and industrial clients including CEAT, Mahindra, and CPCB for signal processing, predictive ML, and environmental monitoring.
  • Built advanced sound analytics pipelines for Norwegian company TenneT, leveraging deep learning for acoustic event detection.
  • Developed virus classification models for Maersk, enabling robust pathogen recognition and predictive healthcare analytics.
  • Contributed across a host of use cases combining signal processing, deep learning, and large-scale computer vision with scalable deployment.
  • Led cross-functional teams in project initiatives, ensuring alignment with strategic goals and objectives.
  • Analyzed system performance metrics to identify areas for enhancement and drive continuous improvement strategies.
  • Mentored junior staff on best practices, fostering a culture of knowledge sharing and professional development.
  • Applied statistical and algebraic techniques to interpret key points from gathered data.
  • Discovered stories told by data to present information to scientists and business managers.
  • Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.
  • Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling.
  • Optimized machine learning pipelines and computational resources deployment strategies resulting in reduced processing times.
  • Championed adoption of cloud technologies for data storage and analysis, enhancing scalability and flexibility.
  • Devised and deployed predictive models using machine learning algorithms to drive business decisions.

Senior Data Scientist

DXC Technologies
04.2019 - 07.2019
  • Migrated legacy analytics workflows to modern machine learning pipelines for Amex, achieving zero downtime during transition.
  • Designed and implemented customer segmentation models and omnichannel recommendation systems, improving personalization and customer engagement.
  • Applied advanced ML algorithms (Random Forests, Gradient Boosting, SVMs, Neural Networks) using Scikit-learn, Python, and PyTorch.
  • Built scalable pipelines leveraging SQL, HiveQL, and Python, integrated into enterprise data infrastructure for high-volume transaction processing.
  • Delivered production-ready solutions with monitoring, reproducibility, and performance optimization across large-scale datasets.
  • Led data-driven projects to enhance predictive modeling accuracy and operational efficiency.
  • Developed and implemented machine learning algorithms to optimize business processes across departments.

Business Technology Analyst

Deloitte Consulting
01.2017 - 03.2019
  • Supported a variety of client engagements, including internal core business operations, by streamlining KPI reporting and implementing anomaly detection in pricing analysis.
  • Built loss ratio prediction models and revenue forecasting systems for corporate insurance clients, integrating predictive analytics into decision workflows.
  • Designed recommender systems to suggest insurance add-ons using insights derived from exploratory data analysis (EDA) and business rules.
  • Utilized SQL, Python, and statistical modeling libraries (Scikit-learn, Pandas, NumPy) to deliver reproducible, scalable analytics pipelines.
  • Collaborated with cross-functional teams to implement system enhancements aligning with strategic objectives.
  • Analyzed business requirements to identify technology solutions that enhance operational efficiency.

Software Engineer

Tech Mahindra
05.2014 - 12.2016
  • Built and deployed managed network service solutions, improving client onboarding efficiency by 30%.
  • Designed and maintained analytics KPIs for acquisition and construction of mobile network sites, ensuring data-driven monitoring and performance tracking.
  • Developed predictive models to forecast network disruptions and classify delays using available project and infrastructure data.
  • Implemented solutions in SQL, Python, and Java, integrating with enterprise data systems for telecom operations.
  • Led cross-functional teams in Agile environment to deliver high-quality software products on schedule.
  • Collaborated with product managers to gather requirements and translate them into technical specifications for development.
  • Designed and integrated RESTful APIs to enable seamless communication between front-end applications and back-end services.
  • Analyzed proposed technical solutions based on customer requirements.

Education

M.Tech - Data Science

BITS Pilani
01.2019

B.E - Electronics Engineering

Nagpur University
01.2014

Class 12th - PCM + Computer Science

NHES Jamshedpur
Jamshedpur
01.2010

Class 10th - PCM

NHES Jamshedpur
Jamshedpur
01.2008

Skills

  • Generative AI & LLMs
  • Deep Learning & ML
  • Computer Vision
  • Data Science & Analytics
  • Big Data & Streaming
  • MLOps & CI/CD
  • Cloud Platforms
  • Programming & Tools
  • Leadership & Architecture
  • Requirements analysis
  • Stakeholder communication
  • Software development
  • Innovation management
  • Continuous integration
  • Team collaboration
  • Data analysis

Accomplishments

  • Graph AI for KOLs, Increased KOL identification coverage by 10% using graph-based AI, unlocking >$1M projected revenue per HCP over the brand lifetime.
  • Agentic Marketing AI, Reduced oncology drug launch timeline from 3 years → 7 months, saving $10M revenue, via LLM-driven agent.

Certification

  • Engineering Optimization in DL - IISC Bangalore
  • Deep Learning Certification - School of AI
  • Microsoft Azure DP100 - Implementing Machine Learning
  • Coursera Deep Learning Specialization

Languages

English
Bilingual or Proficient (C2)

Timeline

AI Engineering Lead Level 3 (DS Architect)

AstraZeneca
04.2023 - Current

Research Data Scientist

Philips Health Care
05.2022 - 03.2023

Technical Manager

Capgemini Invent
09.2021 - 05.2022

Specialist Data Scientist

Robert Bosch
07.2019 - 09.2021

Senior Data Scientist

DXC Technologies
04.2019 - 07.2019

Business Technology Analyst

Deloitte Consulting
01.2017 - 03.2019

Software Engineer

Tech Mahindra
05.2014 - 12.2016

M.Tech - Data Science

BITS Pilani

B.E - Electronics Engineering

Nagpur University

Class 12th - PCM + Computer Science

NHES Jamshedpur

Class 10th - PCM

NHES Jamshedpur

Awards

  • CEO & CTO Desk Achievrz Award - AstraZeneca
  • 20+ performance awards at AstraZeneca
  • "Shaabash" Award - Bosch Medical Competency NA
  • Deloitte Applause Award, Bravo Award, multiple Spot Awards

Publications

  • Robust DL-based 3D Multi-View Planning for Cardiac MR Imaging - MICCAI 2023 submission
  • INDICON 2021 - CV-based Social Distancing Surveillance
  • Bosch Whitepaper: Data Science as a Building Block

Skills

Languages & Scripting

  • Python, R, SQL, Java, MATLAB, Bash, Shell Scripting

Machine Learning & AI

  • Core Frameworks: PyTorch, TensorFlow, Scikit-learn (incl. Random Forests, SVMs), XGBoost
  • Deep Learning Models: Transformers, CNNs, RNNs, Siamese Networks, Graph Neural Networks (Heterogeneous GNNs)
  • LLM & Agentic AI: LLMs (GPT-4/5, Claude, Gemini), LangChain, LangGraph, Autogen, Multi-Agent Systems (MCP Frameworks)
  • Classical AI/ML uses cases : Predictive & Prescriptive Analytics, Time Series Forecasting, Anomaly Detection, Recommendation Systems, Customer Segmentation, EDA, Feature Engineering, Signal & Sound Analytics

Specialized Domains

  • Computer Vision: Object Detection (YOLO, Faster R-CNN), Image Segmentation (2D/3D), OpenCV , Obejct Tracking
  • Medical Imaging: ITK-SNAP, AntsPy, Domain Knowledge (MR, CT, Histopathology WSI)

Cloud, DevOps & MLOps

  • Cloud Platforms:
    AWS:     SageMaker, EKS, ECS, Lambda, Step Functions, EMR, API Gateway, CodePipeline
  • Infrastructure & CI/CD: Docker, Kubernetes, Terraform, GitHub Actions
  • Core Practices: Model Deployment & Monitoring

Data Engineering & Databases

  • Big Data Ecosystem: Apache Spark, Apache Kafka, Hive, Hadoop
  • Databases:
    SQL:     Postgres,Redshift
    NoSQL: MongoDB, Redis DB

Software & Business Intelligence

  • API Development: FastAPI, Flask, REST APIs, Websockets , Postman A/B testing
  • Tools: Git, Co-Pilot

Architecture & Leadership

  • Design: AI Solution Architecture, Enterprise-Scale System Design, Cloud-Native Microservices, Scalable Data Pipelines, IT-OT Integration (Industry 4.0)
  • Collaboration: Agile Team Leadership, Technical Mentorship, Cross-Functional Collaboration

Skills Detailed

  • Generative AI
  • GPT-4
  • GPT-5
  • Claude
  • Gemini
  • LangChain
  • LangGraph
  • Autogen
  • MCP
  • Multi-Agent Systems
  • Deep Learning
  • Machine Learning
  • Computer Vision
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Graph Neural Networks
  • Transformers
  • CNN
  • RNN
  • Siamese Networks
  • Signal Processing
  • Sound Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Time Series
  • Customer Segmentation
  • Recommendation Systems
  • Anomaly Detection
  • EDA
  • Feature Engineering
  • Big Data
  • AWS EMR
  • Apache Kafka
  • Spark
  • Hive
  • Hadoop
  • SQL
  • NoSQL
  • Postgres
  • MongoDB
  • DynamoDB
  • Cassandra
  • Redis DB
  • MLOps
  • Docker
  • Kubernetes
  • EKS
  • AWS SageMaker
  • AWS ECS
  • AWS EKS
  • AWS Lambda
  • AWS Step Functions
  • AWS API Gateway
  • AWS CodePipeline

Similar Profiles

CREATE PROFILE
Dhruba Adhikary