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I am a forward-thinking Artificial Intelligence professional with a solid foundation in aerospace engineering, holding a Master’s degree in Artificial Intelligence and Deep Learning from Liverpool John Moores University. Experienced in developing advanced AI solutions across various industries, I specialize in enhancing aircraft systems and aerodynamic efficiency, as well as broadening the scope of AI applications to optimize operational effectiveness. With a passion for pioneering technological advancements and improving efficiencies, I am driven to apply intelligent innovation to transform and lead diverse sectors.

As a multidisciplinary Aerospace and Machine Learning Engineer, I merge expertise in UAV and flight dynamics, CFD simulations, and AI algorithm development with proficiency in MATLAB, Python, and data analysis. My approach integrates cutting-edge AI into aerospace applications and various other fields , driving technological advancements and enhancing user experiences through smart data insights. With a solid foundation in aeronautical engineering and AI , my work spans designing aircraft components to optimizing performance with specialized software. Renowned for innovative problem-solving and collaboration, I turn complex concepts into practical solutions across disciplines, pioneering progress in aerospace and AI.

Skilled and knowledgeable food technologist excelling in conducting laboratory and field experiments, utilizing various research methods, and implementing effective data collection procedures. Dedication to research excellence evident through hardworking and driven nature, coupled with strong organizational and analytical skills. Keen eye for conceptualization and design, adept at leading and collaborating with teams to successfully implement projects.

Postgraduate student with an M.Sc in Analytical Chemistry seeking part-time online teaching opportunities in Chemistry and Science. Proficient in simplifying complex concepts and providing structured academic support. Focused on fostering an engaging online learning environment that promotes active student participation. Adaptable teaching methods cater to diverse learning levels for effective comprehension.

As a dedicated and results-driven professional, I am eager to contribute my skills in experienced construction QS manager with expertise in construction site supervision, project management, budgeting, and a proven track record in overseeing complex projects, coordinating with multidisciplinary teams, and ensuring timely and cost-effective delivery while maintaining high safety and quality standards with a proven track record of coordinating effectively with architects, engineers, and subcontractors. I am committed to leveraging critical thinking, leadership, and problem-solving skills to drive successful outcomes in every construction project.

Information Science Engineering student with skills in data analysis, machine learning, Python, SQL, and statistical methods. Experienced in academic projects involving predictive modelling, data visualization, and cloud-based analytical workflows. Seeking an opportunity in a growth-oriented company to support data-driven projects and contribute to analytical and AI-focused initiatives.

Dynamic P&L driver and revenue accelerator with a proven ability to elevate organizational performance through strategic operations management and a customer-centric approach. Expertise in collaborating with sales, marketing, and key stakeholders to develop and execute market strategies that drive sales growth and enhance profit margins. Demonstrated success in establishing strategic alliances with channel partners, steering sales operations, and fostering professional relationships that align objectives and enhance functional capabilities. A decisive leader and adaptable team player, skilled in mentoring high-performing teams while managing key accounts to ensure customer satisfaction, cross-selling opportunities, and zero churn rates.

Applied AI engineer with an R&D background in embedded and IoT systems. Experienced in building and deploying models, integrating them into production-ready products, and delivering services across Linux and cloud environments. Strong in Python and C/C++, with practical DevOps capability (CI/CD, containerisation, and microservices).

Results-driven Machine Learning Intern at Dana with expertise in Python programming and neural networks. Successfully optimized model training processes and enhanced data analysis techniques. Proven ability to collaborate effectively with teams, demonstrating strong problem-solving skills and a commitment to continuous improvement in machine learning applications.

Positive and analytical, with strong foundation in machine learning principles and techniques. Possesses essential knowledge in data preprocessing and model development, with proficiency in Python and TensorFlow. Capable of leveraging technical skills to drive impactful machine learning solutions.

Abhishek J

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Machine Learning Intern

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