AI/ML Engineer — Generative AI, LLM Systems & Production AI
Building production-grade AI systems that drive real-world impact across finance, risk intelligence, and large-scale data platforms.
+28% Forecasting Accuracy • -40% Manual Workload • Production AI Systems at Scale
About Me
AI/ML Engineer with 6+ years of experience building production-grade AI systems and scalable machine learning platforms.
I specialize in Generative AI and LLM-powered applications, focusing on solving real-world problems in financial intelligence, risk modeling, and large-scale data systems. My work centers on designing systems that are not only accurate, but also scalable, reliable, and ready for production.
I have built and deployed end-to-end AI solutions including Retrieval-Augmented Generation (RAG) pipelines, multilingual LLM applications optimized using LoRA and quantization, and computer vision systems for large-scale image processing and real-time detection. I also have strong experience in integrating ML models with cloud infrastructure, APIs, and CI/CD pipelines to deliver production-ready solutions.
My approach goes beyond building models — I focus on developing complete AI systems that drive measurable business impact, improve decision-making, and automate complex workflows.
Currently open to AI/ML Engineer and Generative AI roles in the US.
Education
🎓 Indiana University, Indianapolis
Master’s in Applied Data Science (2023 – 2025)
• Specialization: Machine Learning, Artificial Intelligence
• Built production-grade AI systems including RAG pipelines and LLM applications
🎓 ITS Engineering College
Bachelor of Technology (2016 – 2020)
• Strong foundation in Data Structures, Algorithms, and Software Engineering
• Developed strong programming skills in Python and problem-solving
How I Work
How I approach building and delivering production AI systems
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Technical Leadership & Ownership
- Driving end-to-end AI system development from design to deployment
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Problem Solving in Ambiguous Environments
- Designing scalable solutions for complex real-world challenges
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Cross-functional Collaboration
- Working with product, engineering, and business teams
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Communication of AI Systems
- Explaining complex ML/LLM systems to technical and non-technical stakeholders
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Adaptability in Fast-paced Environments
- Quickly learning and applying new AI technologies
Address
517 Drake Street, Indianapolis, Indiana, 46202
Phone
+1-317-551-2981
