Engineering
intelligence.
Building what’s next.
Building intelligent systems at the intersection of AI, software, and robotics.
EXPLORE THE WORKINVERSE KINEMATICS // ACTIVE
DIRECT CURSOR TARGET
I turn emerging technical ideas into working systems—from machine learning research and semantic search to software that keeps robotic hardware moving.
I’m a Computer Science and Linguistics undergraduate at UCLA, interested in the seam between language, intelligence, and physical systems. I like work that moves from uncertain research questions to reliable engineering: models that explain, interfaces that reveal, and automation that quietly does its job.
Experience
ENGINEERING INTELLIGENT SYSTEMS
FROM SILICON TO ROBOTICS
AMAZON ROBOTICS
Robotics Software Development Engineer Intern
Built ML-driven peripheral monitoring and self-healing workflows for scanners, cameras, and USB devices across 200+ workcells.
GS MICROELECTRONICS
Software Engineering + Machine Learning Intern
Developed TensorFlow wafer-yield models and an AI manufacturing analytics interface with RAG-assisted exploration.
OPTIWISE.AI
Software Engineering + AI Intern
Built an embeddings-based opportunity engine that mapped product descriptions to marketplace demand across 50+ seller accounts.
Systems in
motion.
Prediction Market Arbitrage Engine
A verified matching pipeline connects equivalent markets across Kalshi and Polymarket, then streams order-book opportunities into a Next.js dashboard.
AI Opportunity Analysis Engine
A public prototype that transforms natural-language product descriptions into embeddings and discovers semantically related marketplace keywords.
Computer Vision Barcode Scanner
A privacy-safe visual study of machine perception for warehouse scanning. The interface is simulated; implementation details remain intentionally undisclosed.
Peripheral Auto-Recovery System
Intelligent device monitoring detects covered failure modes, triggers recovery, and restores operation in under two minutes—down from 15–30 minutes.
Language as signal.
Learning as lens.
At the UCLA Stress Lab, I develop convolutional neural networks that model mental health outcomes from text—connecting language, computational methods, and clinical research.
in research modeling
Let’s build the
next system.
For engineering, research, and ambitious ideas at the edge of AI and robotics.
sathviklakamsani1@gmail.com