sriman mohapatra
@srimanmohapatra
AI/ML Engineer specializing in innovative machine learning solutions.
What I'm looking for
I am an AI researcher with a strong focus on Machine Learning (ML), Natural Language Processing (NLP), and Software Defect Prediction (SDP). My expertise lies in developing innovative AI solutions, optimizing model performance through advanced techniques, and ensuring the interpretability of complex models with Explainable AI (XAI). I specialize in leveraging transformer architectures and Large Language Models (LLMs) to solve real-world challenges across various domains.
During my internship at Simplilearn, I contributed to AI and machine learning projects, gaining hands-on experience in model development and deployment. Currently, as a graduate researcher at Jeonbuk National University, I am exploring AI system architecture and decision-making in dynamic environments. My work focuses on sentiment analysis, machine translation, and designing scalable AI systems that include model lifecycle management and real-time inference.
Experience
Work history, roles, and key accomplishments
AI Researcher (Graduate Researcher)
Jeonbuk National University
Sep 2023 - Present (1 year 11 months)
Explored AI system architecture and decision-making in dynamic environments, focusing on sentiment analysis, machine translation, and transformer models like BERT and GPT. Designed scalable and modular AI systems, encompassing model lifecycle, data management, and real-time inference.
Intern
Simplilearn
Aug 2021 - Present (4 years)
Contributed to AI and machine learning projects with hands-on experience in model development and deployment. Utilized various frameworks and libraries to build robust AI solutions.
Education
Degrees, certifications, and relevant coursework
Jeonbuk National University
Master of Science, Software Engineering
Grade: 4.15/4.5
Activities and societies: AI Researcher (Graduate Researcher) from Sep 2023 – Aug 2025. Explored AI system architecture and decision-making in dynamic environments. Focused on sentiment analysis, machine translation, and transformer models like BERT and GPT. Designed scalable and modular AI systems, including model lifecycle, data management, and real-time inference.
Pursued a Master's degree in Software Engineering with a strong academic performance, achieving a GPA of 4.15/4.5. Focused on advanced topics in software development and AI applications.
CGU, Bhubaneswar
Bachelor of Science, Electronics Engineering
Grade: 3.8 / 4.0
Completed a Bachelor's degree in Electronics Engineering, maintaining a strong academic record with a GPA of 3.8/4.0. Gained foundational knowledge in electronics and engineering principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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