Leading Machine Learning Perception Data Team with following responsibilities:📈 Strategic Leadership: Working together closely with the Director of Software Engineering to set the strategic direction for the team to align with organizational objectives and drive innovation.👩‍💼 Team Management: Mentoring and empowering a talented team of data scientists, engineers, and analysts to excel in their roles.🔄 Data Lifecycle Management: Overseeing the entire data lifecycle, from data acquisition and preprocessing to model development. Ensuring robust data governance practices are in place to maintain data integrity and quality.👁️‍🗨️ Perception-Based Data Enhancement: Driving initiatives to enhance perception-based data collection, annotation, and labeling processes. Collaborating with cross-functional teams to develop and implement advanced techniques and simulations for data augmentation and refinement.🛠️ Technology Integration: Evaluating and implementing cutting-edge tools and technologies to streamline data workflows and enhance productivity. Leveraging cloud-based platforms and scalable infrastructure to support the growing demands of machine learning initiatives.🎯 Performance Optimization: Continuously optimizing data pipelines and models to improve accuracy and scalability.💬 Collaboration and Communication: Building strong partnerships with stakeholders to drive informed decision-making and business outcomes.Notable Achievements:🏆 Led the data collection campaigns resulting more than 1.5m high-quality image data used in model training for a flagship product.⚙️ Implemented automated data validation systems, reducing manual effort by significantly and enhancing data quality.

🔍 Research, design, and implement storage & retrieval algorithms for a warehouse automation system maintaining inventory distribution and density in highest efficiency🚀 Implemented scalable micro-services using Redis database cache🛠️ Decomposed existing monolithic code base into micro-services published in docker containers🔌 Designed and developed an integration layer between monolithic code base and new micro-services using RabbitMQ messaging framework🔧 Triage and deliver solutions for storage & retrieval related incidents

🖥️ Developed a statistical data analysis package in C++ using Object-Oriented Programming Principles📊 Implemented algorithms to process, analyze, and visualize data📚 Published Ph.D. research based on a complete data analysis: Raw data collection, data reduction and signal extraction, statistical and systematic error estimation (Phys. Rev. D 96, 072003)🖥️ Designed and delivered a MATLAB toolbox with GUI to simulate neutrino oscillations in matter

🖥️ Installed and maintained Linux-based computer systems crucial for the MINERvA Experiment🛠️ Implemented new features on Control Stations for a more user-friendly interface📞 Provided expert on-call support for near-online machines to assist with problems immediately📝 Documented Control Station installation and user handbook

🤝 Assisted colleagues on various software projects for MINERVA Experiment

🔬 Assembled and maintained an Automatic Scanning System used for detecting particle tracks inside emulsion films👩‍🔬 Led and trained a team of 5 involved in building the First Emulsion Scanning Laboratory in Turkey🛠️ Refactored legacy monolithic astronomy tool Signal.f to a maintainable and modular form in Perl📚 Coordinated and instructed modern physics lab sessions

📋 Guided Dubna Team about Emulsion Refreshing Chamber construction

🏢 Worked with a team of scientists and engineers at the largest emulsion scanning laboratory in Europe