Software Engineer (Computer Vision)

Primetals Technologies GmbH

As a working student specializing in machine learning, I focus on finding algorithms to detect anomaly events to monitor the metal production process using concepts like Instance Segmentation, Object Detection, Keypoint Matching, and Anomaly Detection.

• • I built a web tool to evaluate a model’s performance by visualizing an event’s occurrence, which allowed us to perform the model’s evaluation on 100s of hours of videos in just a few minutes.
• • I developed a novel algorithm to detect the vibration of a static camera based on the camera frames, allowing our models to predict events with high confidence.
• • I built several synthetic data generator tools mimicking the real environment to train OCR, segmentation models, and detection models, which allowed us to generate rare event samples for training.
• • Technologies Using: Python, OpenCV, PyTorch, ONNX, TensorRT, FastAPI, Streamlit, MySQL, Docker, and Git

Upwork

As a top-rated freelancer, I helped clients turn their data applications into life.

• • I built a dynamic alert-based strategy back-testing platform and trading bots for options and stocks using Polygon.ai, Alpaca, and Interactive Brokers API.
• • Technologies Used: Python, FastAPI, Streamlit, MySQL, Asyncio, Websockets, and Git

Extenso Data Pvt. Ltd.

As an Associate Data Scientist/Engineer working in a Fintech, I was responsible for building a data pipeline to collect, process, and analyze financial data from various sources.

• • I built a backbone for an intelligent model to automate data pipelining, analysis, and reporting of fintech data for business stakeholders to make timely customer decisions
• • I built an Intelligence System to visualize the performance of loans and prospects for stakeholders to make timely decisions.
• • Technologies Used: Python, MySQL, Pentaho, Apache Airflow, Apache Superset, and Git

Ensemble-Matrix

As a Junior ML Engineer, I did experiments to efficiently detect forged signatures and built an Intelligence System.

• • Using Siamese-type neural networks, I developed an algorithm to create a synthetic hand signature to train a model to detect forged signatures.
• • Technologies Used: Python, Google Colab, OpenCV, Keras, Docker, and Git

diyo.ai

As a Unity 3D Intern, I learned how to build AR applications.

• • I designed and built a user flow for an application to improve clients’ jewelry business using Google AR Core and Unity 3D.
• • Technologies Used: Unity3D, and Git

Ensemble-Matrix

As an AI Developer Intern, I learned how to build and deploy AI models, focusing on computer vision and chatbots applications.

• • Developed and maintained conversational agents for platforms like e-commerce, travel agency, and academic consultancy.
• • Technologies Used: Python, Rasa, OpenCV, Google Colab, AWS EC2, and Git

Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Advanced studies in machine learning, deep learning, computer vision, and statistical analysis. Focus on practical applications of AI in real-world scenarios.

Tribhuvan University, Nepal

Foundation in computer science, mathematics, and programming. Early exposure to machine learning and software engineering concepts.