Engineer Software - Albertsons Companies India
Shivam
Engineer Software at Albertsons Companies India, currently working in merchandising space planning for the retail industry. Previous work at Accenture focused on Java, Spring Boot, React.js, RESTful APIs, AWS S3, batch processing, and enterprise integrations for pharmaceutical contract management and CAPA workflows. Earlier AI research work covered DNS tunneling attack detection and image classification with deep learning architectures.
Experience
Product engineering, integrations, and measurable reliability work
A timeline of roles and responsibilities extracted from the resume.
Engineer Software
CurrentAlbertsons Companies India
Working in the merchandising space planning domain, building future-driven solutions for retail workflows including planograms, order management, and program management.
May 2026 - PresentSpring BootReact.jsKafkaMicroservices
Engineer Software
Current
Albertsons Companies India
Working in the merchandising space planning domain, building future-driven solutions for retail workflows including planograms, order management, and program management.
May 2026 - Present
Spring Boot
React.js
Kafka
Microservices
Responsibilities
- Work on merchandising space planning systems for the retail industry.
- Build solutions for planograms, order management, and program management.
- Use Spring Boot, React.js, Kafka, and microservices in active product engineering work.
Impact
- Contributing to retail space planning solutions at Albertsons Companies India.
Software Engineer
Accenture - Client: Pharmaceutical
Contributed to an enterprise Contract Management Integration application responsible for processing and transmitting contracting data across systems.
Sep 2025 - May 2026BangaloreJavaSpring BootRESTful APIsAWS S3Spring Data JPADTOsMappersStructured logging
Software Engineer
Accenture - Client: Pharmaceutical
Contributed to an enterprise Contract Management Integration application responsible for processing and transmitting contracting data across systems.
Sep 2025 - May 2026Bangalore
Java
Spring Boot
RESTful APIs
AWS S3
Spring Data JPA
DTOs
Mappers
Structured logging
Responsibilities
- Built backend services in Java and Spring Boot for enterprise contract data processing.
- Integrated a low-code frontend platform with backend services using RESTful APIs.
- Designed DTO and mapper layers to normalize and validate contract data before transmission.
- Implemented centralized error handling, structured logging, and retry mechanisms for integration reliability.
- Managed contract documents and attachments through AWS S3 cloud storage integration.
- Implemented Spring Data JPA bulk persistence and bulk API interactions for batch processing.
Impact
- Reduced synchronous dependencies by ~10% by redesigning API sequencing.
- Eliminated redundant data transfers for faster and more reliable contract processing.
- Improved data processing speed by ~30%.
- Reduced API calls by ~25%.
Associate Software Engineer
Accenture - Client: Pharmaceutical
Contributed to a CAPA tracking system supporting pharmaceutical quality and compliance workflows with React.js and Java Spring Boot.
Oct 2023 - Sep 2025BangaloreReact.jsJavaSpring BootREST APIsPaginationBackend logging
Associate Software Engineer
Accenture - Client: Pharmaceutical
Contributed to a CAPA tracking system supporting pharmaceutical quality and compliance workflows with React.js and Java Spring Boot.
Oct 2023 - Sep 2025Bangalore
React.js
Java
Spring Boot
REST APIs
Pagination
Backend logging
Responsibilities
- Built state-driven React UI for CAPA tracking dashboards.
- Integrated asynchronous REST APIs with pagination and role-based rendering.
- Streamlined frontend-backend API interactions and state updates.
- Improved frontend validations, backend logging, and batch-style updates.
Impact
- Improved application responsiveness.
- Reduced CAPA processing time by ~35-40%.
- Reduced process-related errors by ~20-25%.
AI Research Intern
Konverge.AI
Worked on deep learning approaches for DNS tunneling attack detection and image classification accuracy improvement.
Sep 2020 - Feb 2021NagpurDeep Learning AlgorithmsDeep Learning Architecturesdnscat2
AI Research Intern
Konverge.AI
Worked on deep learning approaches for DNS tunneling attack detection and image classification accuracy improvement.
Sep 2020 - Feb 2021Nagpur
Deep Learning Algorithms
Deep Learning Architectures
dnscat2
Responsibilities
- Worked on an advanced approach for detecting DNS tunneling attacks using deep learning algorithms.
- Used dnscat2 to mimic DNS tunneling attacks and create a dataset.
- Worked on improving image classification accuracy using deep learning architectures.
Impact
- Produced research work connected to publications on DNS tunneling detection and image classification.
Projects
Selected work drawn from experience and publications
Project cards are based only on resume-backed work, including enterprise applications, current retail systems, and research publications.
EnterpriseContract Management Integration
Enterprise integration application for processing and transmitting contracting data across systems.
JavaSpring BootRESTful APIsAWS S3Spring Data JPADTOsMappers
Enterprise
Contract Management Integration
Java
Spring Boot
RESTful APIs
AWS S3
Spring Data JPA
DTOs
Mappers
Problem
- Contract information needed reliable ingestion, transformation, validation, and downstream system transmission.
My role
- Built backend services, API integrations, data transformation layers, cloud document storage, and batch processing flows.
Key features
- Low-code frontend to backend service integration
- Contract information ingestion and downstream integration
- Schema-compatible DTO and mapper transformation layer
- Centralized error handling, structured logging, and retry mechanisms
- Secure cloud storage integration for contract documents and attachments
- Bulk persistence and bulk API interactions
Challenges
- Reduced synchronous dependencies and redundant transfers in the API sequence.
- Maintained data consistency and fault tolerance during integrations.
Outcome
- ~10% reduction in synchronous dependencies
- ~30% improvement in data processing speed
- ~25% reduction in API calls
EnterpriseCAPA Tracking System
Quality and compliance workflow system for Corrective and Preventive Action tracking in a pharmaceutical organization.
React.jsJavaSpring BootREST APIsPaginationRole-based rendering
Enterprise
CAPA Tracking System
React.js
Java
Spring Boot
REST APIs
Pagination
Role-based rendering
Problem
- CAPA workflows needed responsive dashboards, role-aware rendering, API-driven state updates, and reliable validation.
My role
- Implemented React dashboards, asynchronous REST API integration, state updates, frontend validations, backend logging, and batch-style updates.
Key features
- State-driven React UI
- Asynchronous REST API integration
- Pagination for CAPA dashboards
- Role-based rendering
- Frontend validations and backend logging
Challenges
- Streamlined frontend-backend data flow and reduced unnecessary component re-rendering.
- Improved reliability for process-related updates and validations.
Outcome
- ~35-40% reduction in CAPA processing time
- ~20-25% reduction in process-related errors
- Improved application responsiveness
RetailRetail Space Planning Solutions
Merchandising space planning work for retail workflows including planograms, order management, and program management.
Spring BootReact.jsKafkaMicroservices
Retail
Retail Space Planning Solutions
Spring Boot
React.js
Kafka
Microservices
Problem
- Retail teams require systems for merchandising space planning workflows across planograms, order management, and program management.
My role
- Currently working as Engineer Software on retail space planning solutions at Albertsons Companies India.
Key features
- Planogram workflows
- Order management
- Program management
- Microservices
Challenges
- Building future-driven solutions in the merchandising space planning domain.
Outcome
- Active product engineering work in the retail industry.
AI ResearchDNS Tunneling Attack Detection
Research on detecting DNS tunneling attacks from network packets using deep learning algorithms.
Deep Learning Algorithmsdnscat2Network packets
AI Research
DNS Tunneling Attack Detection
Deep Learning Algorithms
dnscat2
Network packets
Problem
- DNS tunneling attacks require detection approaches that can learn from network packet patterns.
My role
- Worked on the detection approach and used dnscat2 to mimic DNS tunneling attacks for dataset creation.
Key features
- DNS tunneling attack mimicry
- Dataset creation
- Deep learning based detection
Challenges
- Creating representative DNS tunneling data for research and detection workflows.
Outcome
- Published research on DNS tunneling attack detection.
AI ResearchImage Classification Accuracy Research
Research comparing deep learning architectures to improve image classification accuracy.
Deep Learning ArchitecturesImage classification
AI Research
Image Classification Accuracy Research
Deep Learning Architectures
Image classification
Problem
- Image classification accuracy depends on the selected deep learning architecture and comparative evaluation.
My role
- Worked on improving image classification accuracy using deep learning architectures.
Key features
- Architecture comparison
- Accuracy improvement research
- Publication-linked work
Challenges
- Comparing deep learning architectures for image classification accuracy.
Outcome
- Published comparative analysis on improving image classification accuracy.
Overview
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About
Engineer Software at Albertsons Companies India, currently working in merchandising space planning for the retail industry. Previous work at Accenture focused on Java, Spring Boot, React.js, RESTful APIs, AWS S3, batch processing, and enterprise integrations for pharmaceutical contract management and CAPA workflows. Earlier AI research work covered DNS tunneling attack detection and image classification with deep learning architectures.
Retail systems
Space planning, planograms, order management, and program workflows for retail operations.
Pharma workflows
Contract management integration and CAPA systems for compliance-heavy teams.
Enterprise delivery
Java, Spring Boot, React.js, APIs, AWS S3, batch processing, and integration reliability.
Applied AI
Deep learning work in DNS tunneling detection and image classification research.
Research direction
Applied AI
Neural systems lens
Resume-backed research spans DNS tunneling attack detection with deep learning algorithms and image classification accuracy work with deep learning architectures.
Current narrative
The interface now emphasizes systems, graphs, and network intelligence visually rather than listing technology tags in a long block.
Education
G.H. Raisoni College of Engineering
Nagpur
Bachelor of Technology in Artificial Intelligence
9.13 | Aug 2019 - Jun 2023
Achievements
Google Solution Challenge
World Finalist (India Winner)
IBM Reimagine Hackathon
Runner up
Hack for AI
Runner up
Contact
Reach out quickly
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Best next step
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