Jul 2022 – Present · 3 yrs 10 mos · Punjab, India · On-site

• As Lead AI Engineer, I drive the design and deployment of AI-driven Edge and Cloud solutions across agriculture, food, and supply-chain domains. My role spans technical leadership, architecture, and end-to-end execution of ML/AI-powered products.
• AI/ML Models – Defect detection, classification, object counting, anomaly detection.
• Edge AI – Jetson-based real-time video and image inference systems.
• IoT Integration – Camera + sensor data pipelines for high-throughput industrial environments.
• MLOps & Automation – CI/CD, Airflow, MLflow, automated retraining, scalable model deployment.
• Project Highlights:
• AgShift – Image-based defect detection of nuts & berries using computer vision and deep learning models.
• Compass-Eye – Foreign Material Separation (FMS) detection in grains on conveyors using Jetson edge + camera pipeline.
• FLC (Fine Leaf Count) – Automated fine leaf detection & counting for horticulture produce using AI-driven vision.
• Tech Stack: Python, TensorFlow/PyTorch, OpenCV, FastAPI, PyQt, MongoDB, S3, Firebase, Docker, Kubernetes.

Oct 2021 – Mar 2022 · 5 mos · Sahibzada Ajit Singh Nagar district, Punjab, India · On-site

• As a skilled and experienced Hardware and Software Developer in the agriculture technology sector, I specialize in creating innovative solutions to enhance efficiency and accuracy in agriculture and food production. With expertise in both hardware and software development, I design and develop cutting-edge technologies that enable rapid and accurate quality assessment, crop monitoring, and supply chain traceability.
• My proficiency in hardware development includes designing and integrating sensors, data acquisition systems, and IoT devices into agricultural systems. I have a deep understanding of hardware components, and firmware development, allowing me to create robust and reliable solutions that withstand challenging agricultural environments.
• In software development, I excel in leveraging programming languages / framework such as Python , Django , Flask and C++ to build scalable and efficient software applications. I have expertise in utilizing artificial intelligence (AI), machine learning (ML), and data analytics to extract actionable insights from agricultural data, empowering stakeholders to make informed decisions.
• Collaborating closely with cross-functional teams, including product managers and stakeholders, I contribute to solution design and architecture, ensuring seamless integration between hardware and software components. I possess strong problem-solving and debugging skills, enabling me to identify and resolve software and hardware issues efficiently.