# Sayantan Mukherjee > AI Software Engineer @ Parabole.ai // MS CS @ New York University Location: Brooklyn, New York, United States Profile: https://flows.cv/sayantanmukherjee Data Scientist and Software Engineer with a demonstrated history of working in the computing and information services industry. Specialized in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing and Big Data. ## Work Experience ### AI Software Engineer @ parabole.ai Jan 2023 – Present | New York, New York, United States I develop AI-driven industrial analytics solutions that bring together Large Language Models (LLMs), knowledge graphs, and unstructured data. My work spans prompt engineering, fine-tuning, and semantic vectorization techniques to transform complex operational logs and reports into actionable insights for asset optimization, risk reduction, and compliance. By integrating Generative AI outputs with ontologies and RDF data stores through SPARQL, I design Retrieval-Augmented Generation (RAG) pipelines that power intelligent query interfaces and decision support systems. With experience using RDFox, GraphDB, and AnzoGraphDB alongside modern LLM frameworks like GPT-4 and Mistral, I specialize in combining symbolic reasoning with generative AI to deliver explainable, business-ready solutions. ### Data Science Intern @ TCG Digital Jan 2022 – Jan 2022 | New York, New York, United States I worked on modeling and analyzing airline CO₂ emissions to explore how operational improvements could reduce carbon footprint. This involved generating and processing synthetic emissions datasets, building predictive machine learning models with scikit-learn and Pandas to forecast future trends, and simulating the effects of fuel-efficiency initiatives. To make the insights actionable, I designed a cloud-based analytics solution with Tableau dashboards that visualized temporal emission patterns and modeled scenarios, supporting data-driven decision-making in sustainability efforts. ### Software Engineer @ Accenture Jan 2020 – Jan 2021 | Kolkata, West Bengal, India I contributed to the administration and development of enterprise CRM for a global telecommunications client, building and maintaining SAP ABAP modules across both R/3 and S/4HANA environments. My work focused on creating modular, reusable components that streamlined ERP workflows and supported critical, high-availability business operations. Collaborating with cross-functional teams, I helped ensure system reliability, scalability, and alignment with evolving business requirements in a large-scale enterprise setting. ### Data Science Intern @ Accenture Jan 2020 – Jan 2020 | Hyderabad, Telangana, India I worked on early healthcare AI initiatives applying deep learning techniques (Theano, TensorFlow, Keras) to medical records for disease prediction and pattern discovery. The project focused on combining natural language processing and handwriting recognition to process clinical documentation, while automating categorization in line with WHO’s ICD-10 standards. Using Salesforce to streamline storage and workflow integration, the goal was to reduce manual coding effort and improve accuracy in medical record management — an early step toward data-driven healthcare analytics. ### Software Engineer @ HighRadius Jan 2019 – Jan 2019 | Bhubaneshwar, Odisha, India I co-developed Robotic Process Automation (RPA) modules to streamline Accounts Receivable operations for FMCG clients. By automating payment record processing across vendor portals, the project reduced manual intervention and improved the speed and reliability of financial workflows in large-scale enterprise environments. ### Full Stack Engineer @ HighRadius Jan 2019 – Jan 2019 | Bhubaneshwar, Odisha, India I built a full-stack, AI-enabled cloud application for a B2B FinTech use case, designed to predict retailer payment timelines for wholesale transactions. The solution combined Java, ExtJS, and MySQL on an AWS-hosted architecture, with integrated machine learning models to forecast key business KPIs. By automating payment prediction and delivering real-time insights, the platform supported more accurate financial planning and streamlined operations for manufacturers and suppliers. ### Student Intern @ Advance Concepts, India Jan 2018 – Jan 2018 | Kolkata, West Bengal, India I developed an IoT prototype using ESP32 microcontrollers to capture flowmeter data in an oil refinery and transmit it securely to AWS IoT Core for analysis. The project focused on building end-to-end data pipelines — from embedded programming and sensor integration to cloud ingestion and analytics — enabling real-time monitoring of industrial processes and laying the foundation for predictive insights in refinery operations. ### Research Intern @ Jadavpur University Jan 2018 – Jan 2018 | Kolkata, West Bengal, India I worked on simulating modifications to Hadoop MapReduce and the HDFS architecture with the goal of improving data access speeds in Big Data environments. The project was designed with a public health initiative exploring how faster distributed processing could support remote healthcare analytics, such as scaling patient record access and enabling timely medical insights from large datasets. ### Game Tester @ United Front Games Jan 2015 – Jan 2015 Participated as a closed beta tester for Triad Wars, the planned sequel to Sleeping Dogs, providing gameplay feedback and bug reports during early development. Engaged with the developer community to help shape balancing, progression systems, and user experience before public release. ## Education ### Master of Science - MS in Computer Science New York University Jan 2021 – Jan 2023 ### Bachelor of Technology in Computer Science and Engineering KIIT - Kalinga Institute of Industrial Technology Jan 2016 – Jan 2020 ### Higher Secondary in Mathematics and Computer Science Delhi Public School, Ruby Park Jan 2014 – Jan 2016 ### Secondary in Science Garden High School - India Jan 2008 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/sayantan97 --- Source: https://flows.cv/sayantanmukherjee JSON Resume: https://flows.cv/sayantanmukherjee/resume.json Last updated: 2026-04-01