Sagnik Mukherjee

FFramag Industrieanlagenbau GmbH — Frankenburg am Hausruck, Austria 🇦🇹

• Global industrial plant engineering company specializing in customized steel-processing solutions, torch cutting systems, and testing equipment.

Zenodo

• Mukherjee, S. (2026). Multi-Agent Legacy Architecture. Zenodo.
• Conceptual multi-agent architecture for analyzing, coordinating, and modernizing legacy software workflows in enterprise environments.
• Defined agent roles for legacy analysis, integration planning, migration support, workflow coordination, and operational decision assistance.

HHuDe GmbH — Erkelenz, Germany 🇩🇪

• Provided technical support and advice directly to the CEO, contributing to high-level decision-making processes.
• Conducted market research and feasibility studies for expansion into new industrial sectors.
• Supported investment and expansion planning by preparing structured roadmaps and analytical insights.

SSRN

• Mukherjee, S. (2025). Cultural Challenges in Digital Transformation. SSRN.
• MBA thesis examining cultural challenges top organizations face during digital transformation and strategies to overcome them.
• Developed the BOW Model to understand and address resistance to technology adoption across digitization, AI, and smart-tool environments.

SSMS Group — Mönchengladbach, Germany 🇩🇪

• Completed an internship at SMS group, a global plant-construction and mechanical-engineering company serving the steel and nonferrous metals industry.
• Worked within the CoC Section and Billet Mills unit, gaining exposure to industrial systems, section rolling mills, and plant-system operations.
• Designed a mockup for interactive roll setup instructions for section rolling mills.

MMunich Business School — Munich, Germany 🇩🇪

• Full-time MBA program complemented by global EMBA exchange weeks at partner universities in the US.

WWebasto Project — Munich, Germany 🇩🇪

• Participated in an R&D team project in Munich, contributing to technology-focused business and product exploration during the MBA period.
• Supported cross-functional analysis combining market, technical, and strategic perspectives for innovation-oriented project work.

Zenodo

• Mukherjee, S. (2024). Smart Attendance System. Zenodo.
• Proposes a server-side attendance architecture combining Wi-Fi access workflows with biometric verification for secure identity and presence tracking.
• Framed the system around secure portal design, centralized record handling, reduced dependence on manual attendance processes, and more reliable presence verification.

Zenodo / ResearchGate

• Mukherjee, S. (2024). Automatic Image Captioning. Zenodo.
• University preprint; encoder–decoder framework for automatic image caption generation.
• Developed an encoder–decoder framework for automatic image caption generation by integrating Inception V3 CNN feature extraction with LSTM-based RNN sequence modeling.

Zenodo / ResearchGate

• Mukherjee, S. (2024). Malware Prediction System. Zenodo.
• University preprint. Predictive model for zero-day malware risk using 80M systems and 83 features. Cited by IEEE conference papers (ICBDS 2024, ICESC 2023).
• Engineered a predictive model to identify zero-day malware attack risk by analyzing hardware and software specifications across 80 million systems with 83 unique features.

AAccenture Solutions Pvt. Ltd. — Bengaluru, Karnataka, India 🇮🇳

• Contributed as a full-stack developer to enterprise-level application development with a focus on performance, automation, data validation, and user experience.
• Developed and maintained dynamic front-end components using AngularJS, enhancing automation and data validation across applications.
• Developed Angular + ASP.NET/C# web applications, improved front-end validation by 70%, and optimized RESTful API performance by 10% through new services and MS SQL Server management.

HHighRadius — Bhubaneswar, India 🇮🇳

• Completed a summer technical internship involving machine learning, natural language processing, Java, ReactJS, and Google Dialogflow.
• Built early experience in enterprise product engineering and workflow automation before full-time software engineering work.

KKalinga Institute of Industrial Technology — Bhubaneswar, India 🇮🇳

• CGPA: 8.26/10.0 on the Indian CGPA system; German-system equivalent: 1.87.
• APS certified; key member of the Machine Learning and AI Team.
• Participated in ISRO workshops and completed Microsoft certification during the degree period.

MMicrosoft AEP / Aspirevision Training Project — Kolkata, India 🇮🇳

• Analyzed an industrial-level dataset using Hadoop tools including MapReduce, Hive, Hue, Impala, and Pig.
• Produced a structured data report on observed trends as part of professional training under the Microsoft AEP program.