← Back
Internships · Engineering · Research

Experience

Robogio Dynamics logo

Robotics ML Engineer

Robogio DynamicsSummer 2025Miami, FL
Internship

Robotics and ML engineering internship at Robogio Dynamics, building industrial automation systems deployed at facilities of 100-500 employees and discovering a novel emergent phenomenon in ML filter space that increased ARC-AGI 2 accuracy and was flagged by the CEO for integration into Robogio's automated robotic machines. Work spanned low-level firmware on Teensy 4.1 microcontrollers, FOC motor control, three-motor delta actuator systems, and MDL-based vision models.

Key Events Led

Key Achievements

  • Industrial sanding robot purchased and actively deployed at a facility of 100-500 employees, validated by Techno Coatings aerospace mechanical and electrical engineers, directly automating a previously manual process across a professional aerospace supply chain
  • Discovered "Growing Neighbors", a novel emergent phenomenon in MDL filter space that increased ARC-AGI 2 accuracy and was probed by the CEO for real-time deployment across Robogio's automated robotic machines, with a university professor in Upstate New York pursuing potential research collaboration and publication
  • Engineered a three-motor delta actuator (3x Teensy 4.1, 3x SimpleFOC shields, 3x absolute encoders) with stall-detection homing and a PD force-compliance controller capable of sanding any object placed on it without fastening or adjustment, work typically performed at undergraduate and graduate level, evaluated by Techno Coatings and sourced for facility-wide deployment

Skills Developed

SimpleFOCTeensy 4.1BLDC Motor ControlMDL / Information TheoryARC-AGIComputer VisionPythonC++Embedded SystemsPD ControlWeb Serial APIDelta Actuator Mechanics
Mathematical Research with Dr. Sudhir Ranjan Jain logo

Mathematical Research Intern

Mathematical Research with Dr. Sudhir Ranjan JainJune 2025 to September 2025Remote
Research Internship

Theoretical mathematics research internship under Dr. Sudhir Ranjan Jain, former physicist of the Bhabha Atomic Research Centre (BARC), India's premier nuclear research institution. Research focused on the mathematical foundations underpinning modern cryptographic systems, spanning elliptic curve theory, modular arithmetic, number-theoretic proof construction, and elliptic-curve cryptography (ECC).

Key Events Led

Elliptic Curve Cryptography

Formal proof construction completed under expert mentorship

Investigated the number-theoretic foundations of ECC and hashing algorithms, exploring how modular arithmetic and elliptic curve group structures underpin real-world cryptographic security

Cryptology and Abstract Proof Theory

Explored open mathematical unknowns and epistemic concepts in number theory

Engaged in formal proof construction and number-theoretic analysis of cryptological systems, working through mathematical structures at a graduate research level under a renowned BARC physicist

Key Achievements

  • Conducted advanced research in cryptology, elliptic curves, and modular arithmetic under Dr. Sudhir Ranjan Jain, a renowned physicist of the Bhabha Atomic Research Centre, India's premier nuclear and advanced research institution
  • Investigated the mathematical foundations of hashing algorithms and elliptic-curve cryptography (ECC), tracing how abstract number theory translates into real-world cryptographic security systems
  • Engaged in formal proof construction and number-theoretic analysis, working through mathematical unknowns at a level typical of undergraduate and graduate mathematics research

Skills Developed

Elliptic Curve CryptographyModular ArithmeticNumber TheoryCryptologyFormal Proof ConstructionAbstract AlgebraHashing AlgorithmsMathematical Research
Dr. Sudhir Ranjan Jain
Indian Institute of Technology Delhi
Bhabha Atomic Research Centre