Available to hire
Hi, I’m Yash Kumar, an innovative AI Engineer with 7 years of experience designing and implementing AI and ML solutions that deliver impactful, scalable features across financial, retail, and consulting domains. I’m proficient in Python and major AI frameworks, and I have a track record of contributing to remote projects and collaborating effectively with distributed teams to drive AI innovation aligned with business needs.
I thrive in fast-paced environments, love turning ideas into production-ready systems, and actively mentor junior engineers. I enjoy exploring sustainability-focused AI applications and continuously expanding my toolbox with emerging trends.
Skills
Language
English
Fluent
Work Experience
Senior Application Developer at JP Morgan
August 1, 2023 - PresentDesigned and developed a complete SaaS platform integrating agentic AI agents to automate sales lead generation and CRM workflows, significantly improving client engagement and operational efficiency. Engineered backend services and APIs supporting AI prompting and dynamic user interaction with daily task reminder agents, enhancing productivity across internal user groups and customer-facing portals. Led architecture and implementation of cloud deployment pipelines using container orchestration and serverless functions, reducing operational costs by 30% while ensuring high availability. Managed robust databases schemas for multi-tenant SaaS applications optimized for concurrency and rapid data access. Automated workflow processes including message-based WhatsApp notifications using Twilio APIs, increasing automation outreach by 40%. Collaborated with AI research teams to integrate natural language processing-based AI prompting capabilities, improving predictive response accuracy and pe
Application Developer at Walmart
July 1, 2023 - August 7, 2025Built scalable SaaS modules for retail enterprise customer management incorporating AI-assisted automation for sales outreach and task scheduling improving operational efficiency. Developed backend RESTful APIs and database components supporting CRM and customer engagement workflows ensuring secure and performant data synchronization. Implemented WhatsApp automation workflows for customer notifications and transactional alerts using cloud messaging services, enhancing customer touchpoints. Led frontend development in Angular to create intuitive dashboards and AI agent control panels optimized for cross-device compatibility and accessibility standards. Engineered cloud deployment processes leveraging Azure infrastructure and container services supporting rapid development cycles and seamless environment promotions. Collaborated with data scientists integrating AI prompting interfaces for customer service chatbots, improving responsiveness and reducing manual support labor. Designed modu
Associate Application Developer at Deloitte
August 1, 2021 - August 7, 2025Contributed to development of initial SaaS application components integrating AI-assisted workflow automation for healthcare and finance clients gaining foundational full-stack experience. Developed backend services using Node.js and Python to support AI prompting engines and task automation workflows enhancing operational efficiency for client applications. Assisted in database schema design and management using MySQL and document stores supporting flexible data ingestion and retrieval for real-time use cases. Supported frontend UI development using React.js and Bootstrap frameworks creating interactive components integrating with AI agent control flows. Participated in cloud hosting setup and deployment tasks using AWS EC2 and S3 services ensuring high availability and secure access for SaaS solutions. Collaborated with QA teams to define test cases targeting AI functionality and workflow automation reducing defect rates and improving customer satisfaction. Assisted in documenting te
Senior AI Engineer at JP Morgan
August 1, 2023 - PresentDesigned and implemented AI-driven financial prediction models using Python and TensorFlow, enabling more accurate risk assessments and portfolio optimizations. Built scalable AI microservices with Flask and FastAPI for integrating ML models into enterprise systems. Developed NLP pipelines to extract and analyze regulatory documents, improving compliance monitoring efficiency. Collaborated remotely with data scientists and engineering teams in agile sprints to deliver iterative AI feature enhancements aligned with evolving business needs. Created comprehensive unit and integration testing frameworks to validate model accuracy and system stability, reducing production bugs and downtime.
AI Developer at Walmart
July 1, 2023 - October 15, 2025Engineered ML classification models using Python and scikit-learn to automate supplier categorization, reducing manual review times by 40%. Implemented ETL pipelines to preprocess large-scale retail datasets for AI analysis, improving data quality and consistency supporting demand and forecasting tasks. Developed NLP-enabled sentiment analysis tools for customer feedback, enabling real-time strategy adjustments. Built REST APIs to expose AI model inference capabilities to internal applications, enabling seamless integration between data science and software engineering teams. Automated hyperparameter tuning workflows to improve classifier accuracy with minimal human intervention. Conducted performance profiling and optimization on AI pipelines, accelerating model training and inference phases.
Associate AI Engineer at Deloitte
August 1, 2021 - October 15, 2025Developed supervised learning models in Python for health care claims analysis, improving anomaly detection and claim validation efficiency. Supported preprocessing of clinical and insurance datasets using Pandas, facilitating high-quality training data for AI workflows. Assisted in prototype AI projects exploring NLP for medical document classification, contributing to feature engineering and model evaluation. Participated in backend API development to serve AI model inference results in client-facing applications. Implemented anomaly detection systems supporting fraud prevention and inventory risk management. Automated data cleansing and augmentation scripts to enhance dataset comprehensiveness for rare-event modeling. Documented model design decisions and experiment results to support regulatory compliance and client reporting.
Education
MBA in Information Technology at Johnson and Wales University, Rhode Island, USA
January 1, 2016 - January 1, 2018B.Com in Financial Market at Mumbai University
January 1, 2012 - January 1, 2015MBA in Information Technology at Johnson and Wales University
January 1, 2016 - December 31, 2018B.Com in Financial Market at University of Mumbai
January 1, 2012 - December 31, 2015MBA in Information Technology at Johnson and Wales University
January 1, 2016 - January 1, 2018B.Com in Financial Markets at Mumbai University
January 1, 2012 - January 1, 2015Qualifications
Industry Experience
Financial Services, Retail, Healthcare, Software & Internet, Professional Services
Skills
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