Actively interviewing for Contract & full-time role in Robotics, ML, RL, AI, and Vision

ABOUT ME

Robotics & ML Engineer | MS in Robotics & AI (RL, ML Courses) | Research in Multi-Agent Control | 2+ yrs in fast-paced startups | Building humanoid robots at DreamFace—end-to-end ROS2 backend managing ML/AI and hardware | Published researcher (IEEE ACC'24, I-4AM'22) | Integrating AI frameworks, ROS architectures, embedded electronics for field-ready solutions.

PROFESSIONAL EXPERIENCE

Mar '25 - Present

Robotics Software Engineer | DreamFace Technologies, Denver, USA

Orchestrated behavior engine managing LLM-driven decisions via lifecycle nodes, modular cum scalable actions.
Designed micro-ROS framework on Teensy 4.0 microcontroller, established ZLAC motor control via RS485 protocol.
Engineered automated health monitoring systems with per-node diagnostics, elevated system reliability by 10x.
Configured Dynamixel & Feetech motors in daisy-chain topology for humanoid, integrated ros2_control framework.

May '24 - Oct '24

Robotics Software Engineer | Padma Agrobotics (USDA Funded Startup), Arizona

Led a 2-month solo on-site engineering effort with the CEO, delivering robotic solutions through AI, ROS and Docker tech.
Achieved positional accuracy ≤ 0.3 cm by fine-tuning Kalman filter & optimizing GPS-encoder-based localization for precision agriculture.
Collected on-field datasets & optimized AI models to enhance object detection under varying lighting conditions.
Integrated Digital IO-Link Master using Ethernet/IP and EtherCAT across 3+ sensor modules through PLC.
Designed a robot’s software architecture to control actuators using PLC, and Embedded C++, integrating dynamic motor control, encoders, solenoids, and pumps powered by a joystick.

May '23 - Aug '23

Solutions Architect Intern (Robotics & AI Specialist) | Brainchip, California

Prototyped a Self-Balancing AI-controlled bot entirely from the ground up and expedited development by 40%.
Constructed 3D CAD models and ROS-joints controlled through Q-Learning, RL model operated on AKD1000 Chip.
Transitioned from TF to BrainChip’s MetaTF framework, enriching customer acquisition.

May '20 - Aug '20

Robotic Software Engineer Intern (Embedded C Specialist) | e-Yantra Robotic Internship, IIT Bombay

I was among 95 students (97.76 Percentile) to be awarded the e-Yantra Summer Internship Program at IIT Bombay.
Led an 4-person team to develop a fiducial-marker-based localization model with calibration error of ≤ 0.5%.
Amplified design, combined rule-based script, and unit tested to validate auto-evaluators with 95% coverage.