# Riya Adsul > AI Engineer @Granite Telecommunications Location: Boston, Massachusetts, United States Profile: https://flows.cv/riyaadsul As an aspiring Software Developer with a strong passion for Data Science, Product Management and Technology Consulting, I am currently enhancing my skills as a Software Engineering Intern at Cummins Inc. while pursuing a Master's degree in Computer Science at UMass Amherst. With over two years of industry experience, I have had the privilege of contributing to renowned organizations such as Apple, Cummins, SAS Institute, NHS (Health and Beyond), and Sapio Analytics. These roles have allowed me to refine my expertise in data-driven decision-making and innovative problem-solving. My professional journey is fueled by a deep commitment to leveraging my computer science skills to support and uplift communities. I possess a robust foundation in programming languages including Python, Java, C, and SQL, and I am proficient in frameworks such as MEAN, AWS, Flask, TensorFlow, and Django. I am eager to embark on new challenges and make a meaningful impact through technology. ## Work Experience ### AI Engineer @ Granite Telecommunications Jan 2025 – Present | Boston, MA ### AI Researcher Extern @ Apple Jan 2025 – Jan 2025 • As part of the UMass Industry Mentorship Program, worked on a project advised by Apple Research Scientists. • Developing a salient entity detection & linking framework for large-scale docs to improve quick links in Safari 18 highlights. • Benchmarked multiple LLMs (LLaMA, DeepSeek, Mistral) and PLMs (RoBERTa) for NER and salient entity detection using model finetuning, zero and few-shot prompting strategies, achieving best F1 score of 0.88. • Built a novel entity linking system with embedding based candidate filter, a dual-perspective linker combining context and priors, and consistency-based candidate judge to reduce LLM hallucinations, outperforming SOTA on 3 benchmark datasets. ### Graduate Teaching Assistant @ Manning College of Information and Computer Sciences, UMass Amherst Jan 2025 – Jan 2025 | Amherst, Massachusetts, United States Grading assistant for MS/PhD Course COMPSCI 571- Data Visualization and Exploration ### Software Development Co-op (Full Stack) @ Cummins Inc. Jan 2024 – Jan 2025 | Columbus, Indiana, United States • Developed end-to-end Java components for the Cummins API portal, improving API discovery, security, and governance for 120+ internal teams and client developers, leveraging an Agile development approach. • Improved API adoption rate by 60% through automated access management, self-service onboarding, & mock APIs for testing; leveraging Angular, TypeScript, Node.js, AWS Lambda, and scalable microservices containerized with Kubernetes. • Designed a dynamic reporting REST API in MuleSoft with conditional SQL-based ETL and automated email delivery based on report type, improving report generation and data distribution speed from Azure Active directory by 80%. • Led the development of PPE compliance monitoring system using YOLOv9 for object detection, integrated with real-time video feeds and tracked safety KPIs in Tableau dashboards, contributing to a 20% reduction in assembly line accident rates. • Engineered RAML to OpenAPI3 specification converter with Node.js, eliminating all API integration issues with Swagger. ### Product Manager @ Center for Women & Community Jan 2023 – Jan 2024 | Amherst, Massachusetts, United States • Developed automated CI/CD pipelines using Google Apps Script to migrate PHP form structure to Google Forms and Excel • Created course modules on Canvas for incoming CWC and WOCLN volunteers and set up evaluation forms. • Utilized Drupal, HTML, JavaScript, and CSS to perform regular updates and enhancements on organization's website, ensuring cross-browser compatibility, accessibility , and adherence to FERPA and HIPPA compliances. • Designed visually appealing content for campaigns using Adobe Photoshop, contributing to successful marketing efforts. • Analyzed organizational data, identifying trends and actionable insights that informed strategic decision-making. ### Data Scientist (Customer Advisory) @ SAS Jan 2022 – Jan 2023 | Mumbai, Maharashtra, India • Created advanced analytics dashboards and demos for BFSI & govt. clients, boosting customer onboarding rates by 35%. • Engineered a Customer Intelligence platform with Spring Boot, React.js, and SAS VIYA for an insurance client to visualize KPIs, analyze complaints, assess retention trends, and optimize portfolio management, reducing operational costs by 40%. • Automated risk assessment for fraud prediction and insurance premium pricing using PROC OPTMODEL, ID pipelines, an ensemble (XGBoost, LR, Hidden Markov), SQL stored procedures and cron jobs, reducing Value at Risk by 36%. • Built a centralized datahub using BigQuery & SQL to consolidate 5+ pipelines & process 50M+ SAS records, reducing redundancy, streamlining data access, & accelerating migration from on-prem systems to GCP, resulting in 25% reduction in cloud infra costs. • Automated executive-doctor discussion summarization for pharma client using data modeling & fine-tuned BERT, GPT3, LLaMA3B, achieving 94% accuracy in natural language-to-visualization generation with a 7% boost via prompt engineering. ### Lady Representative @ SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering Jan 2021 – Jan 2022 | Mumbai, Maharashtra, India Developed and Launched the Official website of Voices- The Women's Cell of MPSTME www.voicesmpstme.in Reasearch on the public opinion about "Feminism" ### Software Product Intern @ NHS Jan 2021 – Jan 2022 | India • Led 10 engineers in designing the database architecture, UI, & MVP for a Java application to identify early signs of distress. • Developed a SimCLR-based model to analyze user’s music listening behavior, achieving 82% accuracy in distress detection. • Optimized execution with Agile workflows, Jira ticketing, KPI monitoring & testing, reducing sprint cycle time by 25%. ### Data Science Intern @ Sapio Analytics Jan 2020 – Jan 2020 | Mumbai, Maharashtra, India Worked on the backend of Project UP ECONOMIC CENSUS which is an initiative by the UP Govt for conducting Economic survey of the unorganized sector in the state of UP. I was responsible for developing an enumerator app and automated auditing system to conduct a detailed analysis on the data collected and recommend policies to the government with a 1.5 Cr budget and 76% data accuracy. • Automated daily reports and built a Data Reliability Index in Python to audit and improve census data accuracy by 50%. • Architected recommendation workflow utilizing Python with Jenkins-driven automation, coupled with AWS Lambda, S3, SES, & CloudWatch Events to automate the reports, leading to a 40% improvement in strategic planning capabilities for the Digital Census project. I was selected as the super intern during my internship Tech Stack used: Python (Pandas and NumPy), Mongo DB, SQL, Django, gupshup, aws ### Software Product Lead Intern @ Sapio Analytics Jan 2020 – Jan 2020 | India The app/portal to provide shramiks as well as industries a platform where the available skills can be highlighted and utilized by the local industries on a need-based rational approach. The project was done under TIFAC and in collab with the gov of Uttar Pradesh Generated employment opportunities for 2Mn+ laborers nationwide by creating an AI-powered job matching platform. • Led KPI identification, development, code reviews, load/stress testing, unit/integration/e2e testing for 'SAKSHAM,' an AI-driven project connecting laborers with job providers on a hyperlocal level; currently around 2Mn+ registered users. • Built a multilingual chatbot for signups & a decision-support system with interactive dashboards to monitor skillset distribution and enable job matching across regions, resulting in an 82% end-to-end conversion rate. • Containerized and deployed the application as 5+ microservices on AWS EC2 using Docker & AWS ECS, automated deployments with GitLab CI/CD, ensuring 99.9% uptime and 55% improvement in page load time via a scalable progressive loading strategy. • Used T5 NLP for structured labor data extraction, FastAPI for real-time ingestion, Pandas for transformation, and AWS DynamoDB for scalable storage. • Created advanced analytics dashboards with AWS QuickSight and React.js to monitor nationwide skillset distribution, integrating BERT embeddings and GraphSAGE-based GNNs for intelligent skill-to-job matching and workforce insights. Check out the project at - http://Sakshambytifac.org Tech Stack used: Python (Pandas and NumPy), Mongo DB, SQL, Django, gupshup, aws ## Education ### Masters' Degree in Computer Science University of Massachusetts Amherst ### B.Tech. in Computer Science SVKM's Narsee Monjee Institute of Management Studies (NMIMS) ### High School Pace Junior Science College ### CNM School - India ## Contact & Social - LinkedIn: https://linkedin.com/in/riyaadsul --- Source: https://flows.cv/riyaadsul JSON Resume: https://flows.cv/riyaadsul/resume.json Last updated: 2026-03-28