Built 3-tier application. Areas: logistics, finance, healthcare.
Evolve Cyber, November, 2023 – August, 2024
DevOps Engineer & Student mentor
- Automated infrastructure provisioning using Terraform, resulting in a 30% reduction in deployment time.
- Orchestrated containerized applications with Kubernetes, ensuring high availability and scalability.
- Implemented CI/CD pipelines with Jenkins, decreasing time-to-market for new features by 25%.
- Collaborated with cross-functional teams to integrate security best practices into the development lifecycle.
- Managed and optimized cloud infrastructure on AWS, reducing monthly hosting costs by 15%.
- Implemented centralized logging using ELK Stack, improving system monitoring and issue identification.
- Conducted security audits and implemented measures to ensure compliance with industry standards.
Itransition, February, 2022 – August, 2023
Full-stack developer(Remote)
- Led end-to-end development of dynamic web applications, merging front-end (HTML, CSS, JavaScript) and back-end (Node.js, Python, Java) technologies to create seamless user interfaces and robust server-side functionalities.
- Collaborated cross-functionally with UX/UI designers and engineers to translate complex designs into visually appealing, functional web solutions meeting client specifications.
- Implemented code optimization and security measures, enhancing application performance and user satisfaction.
- Contributed to agile methodologies, participating in sprint planning and continuous improvement initiatives.
- Stayed updated on emerging technologies, integrating innovative solutions for improved product development processes.
42 Abu Dhabi, UAE, June, 2021 – August, 2021
Student mentor
Helped new pisciners get to know with new technologies and teaching the basics of Computer Science
- Mentored over 500 students in Computer Science, C, and Bash, fostering a collaborative learning environment.
- Designed and delivered workshops to enhance students' understanding of programming concepts.
- Provided guidance on problem-solving and coding best practices, contributing to the students' academic success.
- Reviewed code of fellow students. 2-5 PRs reviewed per day.
DP World, March, 2020 – May, 2021 - Remote
AI & ML Engineer
- Developed machine learning models to improve supply chain and port operations, helping track and optimize container movements with tools like CARGOES TOS+.
- Analyzed data to better allocate workforce resources, ensuring the right number of staff was available based on cargo volumes and operational needs.
- Used AI technologies like computer vision for automated port security, improving safety and threat detection.
- Worked on projects involving autonomous shipping and 5G-enabled AI, aiming to boost efficiency, cut emissions, and enhance the customer experience.
Exadel, August, 2018 – February, 2020 - Remote
Machine Learning intern
Contributed to the development of an AI-driven healthcare management system, leveraging machine learning techniques to improve patient outcomes and streamline healthcare operations.
- Developed machine learning models for healthcare diagnostics using Python and scikit-learn, focusing on predictive analytics to help identify high-risk patients based on historical data and clinical patterns.
- Implemented data pipelines and preprocessed large-scale healthcare datasets, using Pandas, NumPy, and SQL, enabling efficient model training and improving data quality for more accurate predictions.
- Collaborated with data scientists and healthcare professionals to fine-tune machine learning algorithms, resulting in a 15% improvement in the accuracy of disease risk prediction models.
- Integrated TensorFlow and Keras to develop and deploy neural networks that analyzed patient data, optimizing real-time decision-making processes in the healthcare system.
- Assisted in the deployment of AI models into production environments, ensuring the seamless integration of predictive models into existing healthcare workflows and monitoring their performance using ML Ops practices.
- Engaged in continuous improvement of the AI pipeline by writing unit tests and performing model validation, achieving a 5% boost in model precision and reliability.
- Participated in cross-functional team meetings with doctors, data engineers, and UX designers to ensure that AI/ML applications aligned with healthcare requirements and delivered user-friendly interfaces for medical professionals.
Georgia Institute of Technology, Expected 2026
Master of Science in Computer Science (AI/ML Specialization)
- Relevant Coursework: Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing, Reinforcement Learning, Advanced Algorithms, Data Mining, Probabilistic Graphical Models.
- Assisting in teaching Machine Learning and Data Structures, mentoring undergraduate students and grading projects related to ML models and algorithms.
- Collaborating with faculty on research in computer vision and autonomous systems, applying neural networks for object detection in dynamic environments.
- Developing a real-time recommendation system using deep learning models, integrating TensorFlow, PyTorch, and NLP techniques to enhance personalized user experiences.
Computer Systems Institute, 2022 - 2023
Associate Degree in Networking
- GPA 3.50 / 4.0
- Represented Microsoft at the institute by conducting workshops on Azure Cloud Services, Windows Server Management, and Networking Fundamentals to help students gain hands-on experience with Microsoft technologies.
- Attended 5+ hackathons, contributing to projects related to network security, cloud-based solutions, and network automation. Gained practical experience in using Python and PowerShell for network scripting.
- Completed CompTIA Network+ and Microsoft Azure Fundamentals, demonstrating proficiency in network design, implementation, and cloud computing.
VOLUNTARY ACTIVITIES
- Facilitated and coordinated 3+ workshops focused on AI/ML fundamentals, hands-on coding sessions in Python, and tutorials on data preprocessing and model evaluation, with participants ranging from 50 to 200+.
- Provided guidance to teams at AI/ML-focused hackathons, including Startup Weekend and Data Science Bootcamps, mentoring participants on using scikit-learn, TensorFlow, and natural language processing (NLP) techniques.
- Actively contributed to local AI meetups and online communities, promoting discussions on ethical AI, advancements in deep learning, and industry applications of AI/ML techniques.