PG

Prathik Kumar Gaddam

Sharda University

ORCID iD 0009-0005-1150-9376
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About

AI/ML and Generative AI Engineer | Published AI Researcher | AWS Certified Machine Learning Associate

I am a Computer Science graduate from The George Washington University, with a strong focus on AI/ML engineering, Generative AI, applied machine learning research, cloud AI systems, software engineering, and data-driven problem solving. My work combines research depth with hands-on engineering, allowing me to build intelligent systems that are not only technically strong but also practical, scalable, and aligned with real-world use cases.

My experience spans machine learning model development, deep learning pipelines, research automation, data analytics, cloud-based AI workflows, and software systems. I have worked on projects involving Speech Emotion Recognition, Computer Vision, Face Mask Detection, AI automation, fraud detection, voice assistants, and large-scale research data workflows. I have also contributed to published research across AI-focused areas, including work in IEEE, Springer, and Elsevier venues.

As an AWS Certified Machine Learning Associate, I have strengthened my foundation in building and understanding cloud-ready machine learning solutions, including model development, deployment concepts, data preparation, monitoring, and production-focused AI workflows. My interest lies in bridging the gap between machine learning research and real engineering systems that can be tested, improved, deployed, and used effectively.

During my academic and research journey, I worked on CNN-based Speech Emotion Recognition models, achieving 95% accuracy, and developed a real-time computer vision system for Face Mask Detection with 99.92% accuracy. I also worked with structured research data workflows involving cleaning, validation, automation, analysis, and large-scale dataset processing, including datasets with millions of records.

What I bring is a combination of AI research, software engineering discipline, cloud awareness, analytical thinking, and builder mindset. I enjoy taking complex problems, breaking them into clear technical steps, and building solutions that create measurable value. Whether it is improving a model, analyzing data, writing research, building a prototype, or automating a workflow, I focus on clarity, accuracy, and practical impact.

My current areas of interest include Generative AI, Agentic AI, AI Agents, RAG systems, LLMOps, MLOps, cloud AI platforms, computer vision, applied ML research, and intelligent software systems. I am especially interested in roles where I can contribute to building AI-powered products, scalable machine learning systems, research-backed solutions, and software that solves meaningful problems.

Core Strengths:
Machine Learning • Generative AI • Deep Learning • Computer Vision • Applied ML Research • AWS Machine Learning • Cloud AI Systems • Python • Data Analytics • Software Engineering • AI Automation • MLOps • Agentic AI • Research Writing • Model Evaluation • Data-Driven Problem Solving

Employment

Employment history is unavailable.

Education

  • Sharda University Bachelor of technology
    2019 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (12)