Work Experience

• Data Scientist (Applied AI & LLMs), Data4Life, Singapore | Sep 2024 – Present
  
  • Built an LLM-based automated code generation system for healthcare research workflows, enabling reproducible study design through natural language–driven generation of analytical code using foundation models (GPT/Claude), MCP-based tool interfaces, and structured domain constraints. The system significantly reduces manual programming effort and improves consistency in study execution.
  • Developed an LLM-driven data standardization pipeline for mapping noisy, heterogeneous datasets into the OMOP CDM format, enabling structured biomedical analytics and improving data preparation efficiency by up to 40% through automated schema alignment and transformation logic.
• AI Research Scientist, Bosch Research, Singapore | Dec 2021 – Sep 2024
  
  • Developed computer vision–based AI systems for automated inspection and condition assessment of industrial products, enabling anomaly detection, classification, and state-of-health estimation using multimodal data fusion. These systems supported decision-making for product value estimation and diagnostics across complex industrial datasets.
  • Contributed to a cross-business-unit AI platform initiative (TOP program) focused on building reusable AI systems and decision-support capabilities across multiple domains, leading end-to-end MVP development and collaborating with senior R&D leadership and business stakeholders, resulting in €1M+ internal funding.
  • Contributed to an early-stage AI Center of Excellence (CoE) initiative for scalable industrial AI systems, defining reusable AI components and system design principles; contributed to 5 strategic patents supporting platform-level innovation.
• Founder-in-Residence, Entrepreneur First, Singapore | Feb 2021 – Dec 2021
  
  • Engaged with end users and domain stakeholders to identify real-world problem statements, while conducting investor discussions for early-stage validation of business potential and feasibility. Performed market analysis of existing solutions to evaluate gaps, trade-offs, and competitive positioning.
• Member of Technical Staff, Mojo Networks, India | Jun 2014 – Jul 2015
  
• Research Intern, Xerox Research Center, India | Dec 2013 – May 2014
  
• Research Intern, IBM Research Lab, India | May 2013 – Aug 2013
  

International Patents Filed

1. Amit S, Jin Han J, Trung C. System and method for augmenting data to estimate a state of a product. Patent WO2025119480. Robert Bosch Gmbh. Filed Dec 7, 2023. Published Jun 12, 2025. [Link]
2. Amit S, Kevin O, Bruce L. System and method for estimating a state-of-health value of a product for a disassembly process. Patent WO2025087538. Robert Bosch Gmbh. Filed Oct 27, 2023. Published May 1, 2025. [Link]
3. Toan P, Amit S, Vinh N. Method and system for generating datasets for training a DNN. Patent WO2025124706. Robert Bosch Gmbh. Filed Dec 13, 2023. Published Jun 19, 2025. [Link]
4. Amit S, Sidharta A. Wear & Tear Framework: An AI-based framework to analyze defects in used products. Robert Bosch Gmbh. Filed Apr 12, 2025.
5. Amit S, Sidharta A, Trung C. System and method for object identification. Patent WO2024188414. Robert Bosch Gmbh. Filed Mar 10, 2023. Published Sep 19, 2024. [Link]
6. Amit S, Archan M, Youngki L, Venket S. System for object identification and content quantity estimation through use of thermal and visible spectrum images. Patent SG10201910482V. Singapore Management University. Filed Nov 8, 2019. Published Jun 29, 2021. [Link]
7. Tridib M, Amit S, Deepthi C, Koustuv D, Anirban M. Methods and Systems for transmitting information generated for events. Patent US20170085624. Xerox Corporation. Filed Sep 18, 2015. Published Mar 23, 2017. [Link]

Peer-Reviewed Publications

1. Amit Sharma, Vithurson Subasharan, Manoj Gulati, Dhanuja Wanniarachchi, and Archan Misra. 2025. CollabCam: Collaborative Inference and Mixed-Resolution Imaging for Energy-Efficient Pervasive Vision. ACM Trans. Internet Things (May 2025). [pdf]
2. Amit Sharma, Archan Misra, Vengateswaran Subramaniam, and Youngki Lee. 2019. SmrtFridge: IoT-based, user interaction-driven food item & quantity sensing. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems (SenSys ’19). ACM, New York, NY, USA, 245-257 [core A* | acceptance rate 18%] [pdf] [video]
3. Amit Sharma and Youngki Lee. 2017. AudioSense: sound-based shopper behavior analysis system. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp ’17). ACM, Maui, Hawaii. [pdf]
4. Amit Sharma and Youngki Lee. 2016. Demo: Sound Localization using Smartphone. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion (MobiSys ’16 Companion). Association for Computing Machinery, Singapore, 119. [pdf]
5. Yadav Kuldeep, Kumar Amit, Naik Vinayak, “Characterizing mobility patterns of people in developing countries using their mobile phone data,“ Communication Systems and Networks (IEEE COMSNETS), 2014 Sixth International Conference. [pdf]
6. Tridib Mukherjee, Amit Kumar et al “Benchmark based Performance Characterization and Scalable Design of Sensing-as-a-Service Platform” poster in ACM/USENIX MIDDLEWARE 2014 [pdf]
7. Tridib Mukherjee, Amit Kumar et al “Performance characterization and scalable design of sensing-as-a-service platform” in ACM SAC 2015 Mobile Computing and Applications track. [pdf]
8. Tridib Mukherjee, Amit Kumar et al, “CityZen: A Cost-Effective City Management System with Incentive-driven Resident Engagement”, IEEE Mobile Data Management (MDM) 2014 15th International conference [pdf]
9. Vigneshwaran S, Amit Kumar, Vinayak Naik, Dipanjan Chakraborty, Archan Misra et al “ConferenceSense: monitoring of public events using phone sensors” in UbiComp ’13 Adjunct [pdf]
10. Kuldeep Y, Amit K, Vinayak N et al “A tale of people’s movement patterns in developing countries”, Poster at Third International Conference on the Analysis of Mobile Phone Datasets (NetMob 2013) at MIT. [pdf]

Teaching Experience

• Graduate Instructor, SMU | Aug 2019 – Dec 2019
  Research Topics in Information Systems (ART)
• Research Assistant, SMU | Sep 2020 – Dec 2020
  Living Analytics Research Center (LARC)
• Teaching Assistant, SMU
  • Jan 2017 – Apr 2017: Computational Thinking (IS-1702)
  • Aug 2017 – Dec 2017: Interaction Design & Prototyping (IS-306)
• Teaching Assistant, IIIT Delhi
  • Aug 2012 – Dec 2012: System Management (CS 131)
  • Jan 2013 – May 2013: Computer Organization (CS 121)
  • Aug 2013 – Dec 2013: Operating Systems (CS 231)