Hi, I'm Rabinandan Kishor.
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AI & ML Enthusiast! Unit Leader at AWL Inc. & Pursuing Post Grad in AI & Machine Learning at Purdue University, alongside MBA. CAPM & ITIL V4 certified Project Leader at AWL Inc., driving global AI solutions.
About
Experienced Senior Software Engineer specializing in Full-stack development, machine learning, and IT management. Proficient in Python, Java, and C++, with a strong track record in developing scalable software systems and backend solutions. Notable projects include Frovedis (a framework supporting NEC SX series supercomputers), SDK AWL Engine development with AI features like person/face detection, age and gender classification, human mask detection, and a crypto price prediction model. Holding a Bachelor's degree in Computer Science & Engineering, an MBA in IT and Production & Operations Management, and currently pursuing a postgraduate degree in AI & ML from Purdue University, I combine technical expertise with business acumen. Passionate about continuous learning, I thrive in dynamic, collaborative environments. Let's connect to explore opportunities in software development, ML, and IT management.
- Languages: Python,C, C++, JAVA, HTML, Bash
- Management:Project Planning and Scheduling, Task and Resource Management, Risk Management
- Libraries: NumPy, Pandas, OpenCV
- Frameworks:Keras, TensorFlow, PyTorch, SkLearn
- Tools & Technologies: Git, Docker, JIRA
Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.
Experience
- Leading a global, cross-functional team in developing AI-driven solutions to combat COVID-19, managing project planning, scheduling, reporting, testing, and system integration while ensuring quality and applying PMP practices.
- I am currently leading a globally distributed team of over eight members across Sapporo, Vietnam, Kanagawa, and Tokyo in developing AI-driven solutions to control the spread of COVID-19 for multiple clients throughout Japan. My responsibilities include project management, guiding the team to meet targets, and ensuring seamless planning, scheduling, and daily task management. I coordinate team reports and updates for senior management and clients, oversee system testing and quality assurance, analyze project risks, and manage system integration. Additionally, I handle product installations in collaboration with the sales team, and apply PMP practices, continually expanding my project management expertise. Previously, I worked closely with the PM on an AI-driven project focused on store solutions.
- Tools: Python, C++, Azure, NVIDIA NX, AGX GPUs
- Contribution of extending the functionality of NEC’s supercomputer Aurora by helping in development of a framework called Frovedis suitable for vector processing with distributed computation using MPI interface a bottom layer developed in C++. • Python Driver Development: • Lua Driver Development: • Distribution of Deep Learning Demo codes: Use Lua driver for distribution of deep learning programs ( https://github.com/torch/demos ) using batch processing and different optimization methods. • Learning of Machine learning: With the Journey, learning different Machine learning algorithms and programming languages such as Python, Scala and Lua with different tools used for it. • Python Data Frame Wrapper Development: Core of Frovedis has support of Data frame and to make it usable for python user developed a python-pandas wrapper. • Hierarchical Clustering algorithm development:
- Tools: C++, Python, SkLearn
Research
Processing Natural Language using machines is not a new concept. Back in 1940 researchers estimated the importance of a machine that could translate one language to another. Further, during 1957-1970 researchers split into two divisions concerning NLP: symbolic and stochastic. This paper presents an extensive review of recent breakthroughs in Neuro Symbolic Artificial Intelligence (NSAI), an area of AI research which seeks to combine traditional rules-based AI approaches with modern deep learning techniques. Neuro Symbolic models have already demonstrated the capability to outperform state-of-the-art deep learning models in domains such as image and video reasoning. Such models not only performed better when trained on a fraction of dataset compared with traditional machine learning models, but also solved an underlined issue called generalization of deep neural network systems. We also find that symbolic models are good in visual question answering (VQA). In this paper, we also review research results related to Neuro Symbolic AI with the objective of exploring the importance of such AI systems and how it would shape the future of AI as a whole. We discuss different types of dataset of Visual Question Answering(VQA) tasks based on NSAI and extensive comparison of performance of different NSAI models. Later, the article focuses on the contemporary real time application of NSAI systems and how NSAI is shaping the world‟s different sectors including finance, healthcare, cyber security.
Deficiency of labour is one of prominent issue in Japan from last several years. To handle the situation and provide the solution of this shortage of labour issue, Japanese government has set several facilities and services for employee and employer. Although there are several facilities that are helpful for people engaging in work activity in Japan, still the country faces some shorts...
Skills
Languages and Databases
Python
C++
HTML
MySQL
Shell Scripting
Libraries
NumPy
Pandas
OpenCV
scikit-learn
matplotlib
Frameworks
TensorFlow
Keras
Django
PyTorch
Other
Git
AWS
Heroku
Education
USA, Online
Degree: Post Graduate: Artificial Intelligence and Machine Learning
CGPA: in-progress
The Purdue University Post Graduate Program in AI and Machine Learning is a comprehensive and industry-relevant curriculum designed to equip learners with the knowledge and skills needed to excel in the field of artificial intelligence and machine learning. Through a series of interactive classes, real-world projects, and hands-on labs, participants will delve into topics such as supervised and unsupervised learning, deep learning, natural language processing, reinforcement learning, and Generative AI, including applications such as ChatGPT. Led by industry experts, the program offers practical insights and cutting-edge techniques used in AI and ML applications across various sectors, providing learners with a solid foundation for career advancement in this rapidly evolving field
Swami Vivekananda Subharti University, Meerut
Meerut, India
Degree: Master of Business Administration - MBA
%: 67
Experienced in integrating technology with business processes to optimize efficiency and productivity. Skilled in project management, data analysis, and supply chain management. Successfully led initiatives to streamline operations and improve IT infrastructure. Passionate about leveraging my business acumen and technical expertise to drive organizational success and innovation.