Aditya Hada
About Candidate
AI/ML Engineer with 3+ years of experience in software engineering, data analytics, machine learning, and Generative AI. I hold a Master’s degree in Data Analytics with Machine Learning from Penn State and have hands-on experience building production-oriented AI solutions using Python, SQL, LangChain, LangGraph, RAG, LLMs, FastAPI, and cloud platforms.
My experience includes developing LLM-powered applications, agentic AI and multi-agent workflows, conversational AI systems, RAG pipelines, data analytics solutions, and scalable backend services. I enjoy taking AI solutions from experimentation to practical implementation, with a strong focus on automation, reliability, and measurable business impact.
I am currently seeking opportunities as an AI/ML Engineer, GenAI Engineer, Agentic AI Engineer, or Data Scientist where I can apply my engineering and machine learning expertise to build intelligent, production-ready systems.
Location
Education
Completed B.Tech. (Honors) in Computer Science and Engineering from Lovely Professional University. Coursework included Data Structures & Algorithms, Object-Oriented Programming, Database Management Systems, Operating Systems, Computer Networks, Software Engineering, Web Development, Artificial Intelligence, Machine Learning, and Cloud Computing. Worked on academic projects involving software development, programming, databases, and AI/ML concepts, with hands-on experience in Python, Java, SQL, and web technologies.
Completed Master of Professional Studies (MPS) in Data Analytics with Machine Learning from Penn State University. Coursework included Machine Learning, Data Mining, Predictive Analytics, Statistical Analysis, Data Visualization, Big Data Analytics, Database Management, and Applied Data Science. Worked on projects involving data analysis, machine learning model development, data preprocessing, predictive modeling, visualization, and AI-driven solutions using Python, SQL, Pandas, NumPy, Scikit-learn, and other data analytics and ML technologies.
Work & Experience
Worked as an AI/ML Engineer at Lightning Minds, developing AI-powered applications and intelligent automation solutions. Built LLM-powered applications, RAG pipelines, conversational AI systems, and agentic AI workflows using Python, FastAPI, LangChain, LangGraph, and cloud technologies. Worked on integrating AI agents with business tools, APIs, databases, and external services to automate real-world workflows. Contributed to designing, developing, testing, deploying, and maintaining production-oriented AI solutions with a focus on scalability, reliability, and practical business use cases.
Worked as a Volunteer Data Analyst at Community Dreams Foundation (CDF), supporting data-driven decision-making through analysis and reporting. Worked with donor and community datasets using Python, Pandas, NumPy, and SQL to clean, transform, analyze, and validate data. Developed reports and insights to support organizational operations and improved data quality and reporting consistency through systematic data analysis and validation.
Worked as a Research Assistant, supporting research activities involving data collection, data preprocessing, analysis, and documentation. Applied Python, SQL, statistical analysis, and data visualization techniques to analyze datasets and derive meaningful insights. Assisted with research projects by conducting literature reviews, preparing analytical outputs, validating results, and documenting findings in a structured manner.
Worked as a Software Engineer at Xoriant Solutions, contributing to enterprise software development and financial technology solutions for a Citibank regulatory reporting project. Developed and maintained backend services using Java and Spring Boot, worked with Python and SQL for data processing and database operations, and contributed to REST APIs, ETL workflows, and application integration. Worked with technologies including Oracle, MySQL, ReactJS, Kubernetes, AWS CDK, Git, and CI/CD pipelines. Contributed to processing high-volume financial data, improving application reliability, and delivering solutions aligned with regulatory and business requirements.