# Parth Ghayal > AI Engineer | Scaling Enterprise Systems | Multi-Agent LLMs, RAG, MCP, Production AI | Startup Co-founder | MS in AI Location: New York, New York, United States Profile: https://flows.cv/parthghayal As a pioneering AI/ML leader and startup co-founder, I architect transformative solutions at the intersection of artificial intelligence and business innovation. With over five years of expertise spanning deep learning, NLP, and advanced analytics, I've consistently delivered measurable impact across diverse industries from SaaS platforms to healthcare AI. Currently serving as AI Software Engineer at Nephrolytics Inc., where I'm developing cutting-edge AI solutions for healthcare applications. My work focuses on building intelligent systems that enhance clinical workflows, streamline documentation processes, and improve patient care through advanced automation and data integration. Previously co-founded SQOR.ai as Senior Data & AI Engineer, where I contributed to developing AI-powered analytics platforms that serve enterprise clients with intelligent insights and automated decision-making capabilities. My technical expertise spans: - Healthcare AI: Clinical data processing, medical NLP, EHR system integrations - Production-grade LLM applications: Large language model deployment and monitoring - MLOps & Infrastructure: AI system observability, automated pipelines, cloud architectures - Advanced Analytics: Predictive modeling, data orchestration, intelligent search systems - Enterprise AI Strategy: Scalable AI architectures and business transformation Beyond technical innovation, I bring an entrepreneurial mindset focused on translating complex AI capabilities into practical business solutions. I excel at bridging the gap between cutting-edge research and real-world applications that drive organizational success. Passionate about pushing the boundaries of what's possible with AI while maintaining a strong focus on practical implementation and ethical considerations. Open to connecting with fellow innovators, entrepreneurs, and technology leaders to explore collaborative opportunities in shaping the future of AI across industries. ## Work Experience ### AI Software Engineer @ Nephrolytics, Inc. Jan 2025 – Present ### Senior Data & AI Engineer / Co-founder @ SQOR.ai Jan 2024 – Jan 2025 | New York, New York, United States ### Artificial Intelligence Engineer/AI Product Manager @ Reality AI Lab Jan 2024 – Jan 2024 | New York, New York, United States As an Artificial Intelligence Engineer at RadicalX, I am leveraging technologies such such as OpenAI, Vertex AI and TensorFlow to develop ReX, an AI Coach who serves as a steadfast career companion for learners, offering personalized coaching, mentorship, and support throughout the various phases of their career lifecycle. ### System Specialist @ Boston University Jan 2022 – Jan 2024 | Boston, Massachusetts, United States Streamlined department hardware/software inventory management with SQL, advanced Excel tools (Pivot Tables, Macros, VLOOKUP, VBA), achieving a 20% efficiency boost and $70,000 cost savings through data-driven processes, KPIs and optimized workflows. Managed Client Services, Active Directory, 1.5 PT research data backups/permissions, Cyber attack protection & provided remote assistance. Crafted data-driven ServiceNow reports & Excel dashboards to monitor employee performance metrics & ticket resolution SLAs. Tracked tickets using ServiceNow, ensuring timely updates and resolutions, reducing the backlog by 19%. Developed a systematic data collection process for lab inventory management, leading in cost saving. Bridged knowledge gaps through targeted training, leading improvement in team productivity and 13% reduction in tickets. ### Teaching Assistant @ Questrom School of Business, Boston University Jan 2023 – Jan 2023 | Boston, Massachusetts, United States Program - Master of Science in Business Analytics | Course - Unsupervised and Unstructured Machine Learning • Empowered 200+ students to dissect real-world data challenges through dynamic presentations, exams, and personalized guidance. • Crafted syllabus on ethical AI, deep learning, and applied text analytics for critical thinking and real-world proficiency. •Assisted in organizing and facilitating the final presentations, contributing to the assessment of students' understanding and application of course concepts. • Hosted 2 guest lectures on diffusion and ethical AI empowered 200+ students to navigate evolving AI landscape responsibly. •Collaborated with the course professor in grading responsibilities, maintaining the academic integrity and standards of the course. •Led discussions on diverse topics, including artificial intelligence, machine learning, and text analytics, fostering a dynamic learning environment. •Demonstrated proficiency in Python programming and machine learning concepts, guiding students in mastering essential skills for the course. •Engaged in the assessment and evaluation of students' final examinations, contributing to the overall assessment process. •Played a key role in the coordination of group projects, ensuring effective collaboration among students in addressing real-world applications of unstructured data analysis. ### Data Scientist @ Indian Internet Solutions Jan 2022 – Jan 2022 | Aurangabad, Maharashtra, India Built & fine-tuned ML & deep learning models using Python for COVID-era sales prediction, achieving 10% surge in revenue. Created Data Pipelines for ETL processes with Databricks, Kafka & Apache Spark, enhancing data quality via advanced SQL techniques. Leveraged CI/CD pipelines, Jenkins to automate ML model deployment & maintenance, using MLflow for experiment tracking. Created real-time Tableau dashboards using SQL, enabling a 15% revenue surge via strategic restocking & data driven decision making. Developed Tableau visualizations for variance analysis, actual vs. budget comparisons, and profit & loss summaries Applied advanced SQL techniques for data cleansing, aggregation, and manipulation, enhancing data accuracy and reliability. Created process workflow diagrams & A/B testing plans to expedite the Software Development Life Cycle (SDLC) process by 12%. ### Junior Data Scientist @ Lalnaa Jan 2021 – Jan 2022 | Aurangabad, Maharashtra, India Used AWS, SQL, Python, ad hoc analysis & Power BI to identify sales channel inefficiencies, boosting operational efficiency by 12%. Programmed a hybrid LSTM, BERT and CNN models for sales prediction and customer segmentation with estimated 91% accuracy. Leveraged Informatica for data integration & ETL processes, extracting actionable insights through advanced analysis & modeling. Utilized Azure Databricks & Spark for market Analytics & large-scale data processing, enabling efficient handling of complex data. Created projection models based on KPI’s vs. budgets, boosting the accuracy of short- and long-term earnings by an estimated 20%. Facilitated extensive requirements gathering process, utilizing interviews and surveys to capture input from diverse stakeholders. ### Business Analyst @ Lalnaa Jan 2020 – Jan 2020 | Aurangabad, Maharashtra, India ### Web Development Intern @ Sahas Entertainment Jan 2019 – Jan 2019 | Aurangabad, Maharashtra, India •Contributed to the development of dynamic and responsive web applications, gaining hands-on experience in front-end and back-end technologies. •Collaborated with the development team to implement and maintain website features, ensuring a seamless and user-friendly online experience. •Applied HTML, CSS, and JavaScript to create visually appealing and interactive user interfaces, enhancing the overall design and functionality of web applications. •Demonstrated a proactive approach to learning new technologies and staying updated on industry trends, applying acquired knowledge to enhance the development workflow. •Assisted in the deployment of web applications, gaining insight into the end-to-end development lifecycle. ## Education ### Master's degree in Computer Science - Artificial Intelligence Boston University Graduate School of Arts & Sciences ### Bachelor's degree with Hons in Computer Engineering Pune Institute of Computer Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/parthghayal --- Source: https://flows.cv/parthghayal JSON Resume: https://flows.cv/parthghayal/resume.json Last updated: 2026-04-01