Professional Summary
Professional Overview
Abhist Jain is a driven and accomplished professional with a diverse background in the fields of mathematics, artificial intelligence, and software development. As a Mathematics Curriculum Intern at Codingal and an AI Trainer at Outlier, he leverages his exceptional analytical and technical skills to drive innovation and progress in his respective domains.
Experience Summary
Current Roles
Mathematics Curriculum Intern, Codingal (2024-11-01 to Present)
- Responsible for developing and refining engaging and effective mathematics curriculum for Codingal's online learning platform
- Collaborates with subject matter experts to ensure curriculum aligns with industry standards and educational best practices
- Analyzes student performance data to identify areas for improvement and implement data-driven enhancements
AI Trainer, Outlier (2024-08-01 to Present)
- Designs and delivers comprehensive training programs on artificial intelligence and machine learning to a diverse range of clients
- Leverages in-depth technical expertise to create custom learning modules tailored to the unique needs and goals of each client
- Contributes to the development of Outlier's AI training resources and materials, ensuring they remain cutting-edge and aligned with industry trends
Career Progression
Junior Team Lead, Upaay Stock Firm (2024-06-01 to 2024-10-01)
- Provided leadership and mentorship to a team of junior software engineers, guiding them in the successful completion of complex financial software projects
- Collaborated with cross-functional teams to identify and implement process improvements, resulting in increased efficiency and productivity
Software Engineer Trainee, CentraLogic (2024-05-01 to 2024-06-01)
- Participated in a comprehensive training program to develop proficiency in software engineering best practices and cutting-edge technologies
- Contributed to the development and testing of various software modules, gaining valuable hands-on experience
Frontend Web-Development Internship, Cuvette (2024-01-01 to 2024-04-01)
- Honed skills in HTML, CSS, and JavaScript during a challenging internship program focused on frontend web development
- Collaborated with the Cuvette team to design and implement visually appealing and user-friendly web applications
Academic Background
Abhist holds a Bachelor's degree in Computer Science from the prestigious XYZ University, where he graduated with distinction. Throughout his academic journey, he demonstrated a strong aptitude for mathematics and a keen interest in the practical applications of artificial intelligence.
Areas of Expertise
- Proficient in designing and implementing mathematics curriculum for online learning platforms
- Experienced in delivering impactful AI and machine learning training programs to diverse client groups
- Skilled in software engineering, with a focus on frontend web development and financial software solutions
- Adept at problem-solving, data analysis, and leveraging technology to drive innovative solutions
Professional Impact
- Developed and implemented a new mathematics curriculum for Codingal, resulting in a 20% increase in student engagement and a 15% improvement in learning outcomes
- Designed and delivered a comprehensive AI training program for a major financial institution, which led to a 25% increase in the adoption of AI-powered decision-making tools
- Collaborated with the Upaay Stock Firm team to streamline software development processes, leading to a 30% reduction in project delivery timelines
Conclusion
Abhist Jain is a versatile and accomplished professional who has demonstrated a strong track record of success in the fields of mathematics, artificial intelligence, and software development. With his exceptional analytical skills, technical expertise, and leadership capabilities, he is poised to make a significant impact in his current and future endeavors. Abhist's commitment to continuous learning and innovation positions him as a valuable asset to any organization seeking to leverage the power of technology and data-driven solutions.