Ujwal Jyot Panda โ Product Engineer
๐ Passionate about leveraging technology and data-driven insights to drive innovation and solve complex challenges in the realms of quantitative analysis, AI, and software engineering. ๐ Recognized for academic excellence and achievements including securing top ranks in competitive exams like JEE Advanced and JEE Mains, along with prestigious awards such as the KVPY Fellowship and NTSE Scholarship. ๐ As a Quantitative Strategist Intern at Quadeye Securities, I honed my skills in analyzing market trends by examining diverse news sources, identifying impactful data, and formulating alphas for informed decision-making. ๐ก Demonstrated proficiency in full-stack engineering during my tenure at Pathfndr, where I contributed to web scraping projects, utilized Airflow DAGs for data automation, and collaborated effectively using version control systems like Git. ๐ฌ Passionate about research, particularly in the domains of ML and energy management systems. My experience includes investigating ML methods for energy optimization in industries and implementing IoT solutions for efficient EV charging. ๐ค Engaged in diverse projects encompassing legal document structuring, compiler design, operating system development, robotics, and anticipating dynamic obstacles for autonomous driving, demonstrating adaptability and a multidisciplinary approach. ๐ Proficient in an array of programming languages, libraries, and tools such as Python, Java, Julia, TensorFlow, OpenCV, Django, ROS, AWS, Git, and more. Coupled with a solid foundation in fundamental CS courses and exposure to international conferences, I bring a comprehensive skill set to the table. ๐ Actively involved in leadership roles within Aerial Robotics IITK and the Chess Club, fostering collaborative environments and learning experiences, while contributing to the wider tech community. Open to exciting opportunities and collaborations that align with my expertise in quantitative analysis, AI, software engineering, and research. Let's connect to explore how we can create impact together in the tech landscape!
Stackforce AI infers this person is a Quantitative Analyst with strong software engineering skills in AI and data-driven solutions.
Location: Raurkela, Odisha, India
Experience: 3 yrs 11 mos
Skills
- Quantitative Research
- Python (programming Language)
Career Highlights
- Top ranks in JEE Advanced and JEE Mains
- KVPY Fellowship and NTSE Scholarship recipient
- Proficient in full-stack engineering and quantitative analysis
Work Experience
Quadeye Securities
Quantitative Strategist (1 yr 9 mos)
Quadeye
Quantitative Strategist (2 mos)
Aerial Robotics IITK
Senior Team Member (1 yr 1 mo)
Junior Team Member (1 yr 1 mo)
Pathfndr
Full Stack Engineer (2 mos)
Chess Club IIT Kanpur
Secretary (1 yr)
Education
Bachelor of Technology - BTech at Indian Institute of Technology, Kanpur