Applied AI Engineer
Engineering Intelligence.
Building intelligent systems at the intersection of AI, engineering, and real-world optimization.
Building intelligent systems at the intersection of AI, engineering, and real-world optimization.
My background in mechanical engineering gives me something most AI engineers lack: a deep instinct for how the physical world behaves. When I design neural networks for topology optimization, I understand the material constraints. When I build defect detection pipelines, I know what matters on the factory floor.
I engineer intelligent systems for industrial application, generative optimization, and predictive architecture — bridging theoretical research and real-world deployment. With experience at Amazon and credentials from Stanford, Michigan, and Harvard, I bring both rigor and craft to every problem.
"The future of engineering lies not just in constructing the physical world, but in embedding intelligence within it."
B.E. Mechanical Engineering
Harvard CS50x · 2026
Subject Matter Expert @ Amazon
1.5 Years
Hyderabad, India
Open to remote & relocation
cntc.aak@gmail.com
Technologies I work with at depth — not a checklist, a toolkit.
Production systems built at the edge of AI and physical engineering.
AI-driven topology optimization engine for mechanical components in additive manufacturing. Uses generative neural networks to learn optimal material distributions — replacing lengthy FEA iteration cycles with near-instant inference. Built for real industrial use where structural validity and compute efficiency both matter.
Intelligent financial parsing and predictive analytics engine. Extracts and analyzes financial data at scale — powering budget forecasting, anomaly detection, and spending pattern recognition.
Multilingual web app for evaluating agricultural credit and financial health — built for the NABARD Agri Credit Hackathon 2025. Enables farmers across language barriers to assess loan eligibility through an accessible UI.
Verified credentials from world-class institutions.
Roles that shaped how I think about systems, scale, and quality.
Looking for roles in applied AI, ML engineering, and intelligent systems — especially where physical and computational domains intersect.