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I’m an AI and Machine Learning Engineer with hands-on experience in developing intelligent systems and data-driven solutions. My expertise spans across deep learning, NLP, computer vision, and Generative AI, combined with a strong background in cloud technologies (AWS, Azure, Google Cloud) and DevOps tools like Docker, Kubernetes, and CI/CD pipelines. I’ve worked on projects ranging from AI-powered scheduling systems and document research chatbots to CNN-based medical image analysis and fraud detection models. I’ve also contributed to optimizing LLMs for enterprise applications and building production-ready AI pipelines. With certifications from Microsoft, Oracle, and Cisco, and a proven track record in national-level competitions, I bring both technical depth and creative problem-solving to every project. My goal is to help clients build scalable, reliable, and impactful AI solutions that deliver real business value.…I’m an AI and Machine Learning Engineer with hands-on experience in developing intelligent systems and data-driven solutions. My expertise spans across deep learning, NLP, computer vision, and Generative AI, combined with a strong background in cloud technologies (AWS, Azure, Google Cloud) and DevOps tools like Docker, Kubernetes, and CI/CD pipelines. I’ve worked on projects ranging from AI-powered scheduling systems and document research chatbots to CNN-based medical image analysis and fraud detection models. I’ve also contributed to optimizing LLMs for enterprise applications and building production-ready AI pipelines. With certifications from Microsoft, Oracle, and Cisco, and a proven track record in national-level competitions, I bring both technical depth and creative problem-solving to every project. My goal is to help clients build scalable, reliable, and impactful AI solutions that deliver real business value.

Pramodd Komarneni

AI Engineer, Data Scientist, Data Analyst, +5

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I’m an AI and Machine Learning Engineer with hands-on experience in developing intelligent systems and data-driven solutions. My expertise spans across deep learning, NLP, computer vision, and Generative AI, combined with a strong background in cloud technologies (AWS, Azure, Google Cloud) and DevOps tools like Docker, Kubernetes, and CI/CD pipelines. I’ve worked on projects ranging from AI-powered scheduling systems and document research chatbots to CNN-based medical image analysis and fraud detection models. I’ve also contributed to optimizing LLMs for enterprise applications and building production-ready AI pipelines. With certifications from Microsoft, Oracle, and Cisco, and a proven track record in national-level competitions, I bring both technical depth and creative problem-solving to every project. My goal is to help clients build scalable, reliable, and impactful AI solutions that deliver real business value.…I’m an AI and Machine Learning Engineer with hands-on experience in developing intelligent systems and data-driven solutions. My expertise spans across deep learning, NLP, computer vision, and Generative AI, combined with a strong background in cloud technologies (AWS, Azure, Google Cloud) and DevOps tools like Docker, Kubernetes, and CI/CD pipelines. I’ve worked on projects ranging from AI-powered scheduling systems and document research chatbots to CNN-based medical image analysis and fraud detection models. I’ve also contributed to optimizing LLMs for enterprise applications and building production-ready AI pipelines. With certifications from Microsoft, Oracle, and Cisco, and a proven track record in national-level competitions, I bring both technical depth and creative problem-solving to every project. My goal is to help clients build scalable, reliable, and impactful AI solutions that deliver real business value.

Available to hire

I’m an AI and Machine Learning Engineer with hands-on experience in developing intelligent systems and data-driven solutions. My expertise spans across deep learning, NLP, computer vision, and Generative AI, combined with a strong background in cloud technologies (AWS, Azure, Google Cloud) and DevOps tools like Docker, Kubernetes, and CI/CD pipelines.

I’ve worked on projects ranging from AI-powered scheduling systems and document research chatbots to CNN-based medical image analysis and fraud detection models. I’ve also contributed to optimizing LLMs for enterprise applications and building production-ready AI pipelines.

With certifications from Microsoft, Oracle, and Cisco, and a proven track record in national-level competitions, I bring both technical depth and creative problem-solving to every project. My goal is to help clients build scalable, reliable, and impactful AI solutions that deliver real business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Data Engineer & ML Intern at Genesys International

July 1, 2025 - Present

LiDAR-based Lane Detection Project: Processed large-scale LiDAR point cloud data to extract road lanes using AI pipelines, segmentation techniques, and vector database integration. Voice Assistant Project (Ongoing): Collaborating with LLMs team to develop voice assistant features using GenAI and SLM pipelines; performing prompt engineering, fine-tuning, and semantic retrieval for enterprise voice workflows.

Intern at Infosys

December 1, 2024 - October 25, 2025

Developed CNN-based skin lesion detection system achieving 92% accuracy with image augmentation and transfer learning. Implemented fraud detection system on transactional datasets, reducing false positives by 27% and increasing accuracy to 94%. Built Flask APIs to deploy ML models for scalable production use, improving inference throughput by 25%.

Intern at Smartbridge

September 1, 2024 - October 25, 2025

GenAI Project: Developed domain-specific GenAI models on Google Vertex AI, supporting multi-turn context-aware responses. Built retrieval-augmented generation (RAG) pipelines integrating vector search with LLMs for enterprise knowledge bases. Performed prompt engineering, fine-tuning, and evaluation using embedding similarity metrics and human-in-the-loop feedback.

Data Engineer & ML Intern at Genesys International

July 1, 2025 - Present

Intern at Infosys

December 1, 2024 - October 25, 2025

Intern at Smartbridge GenAI Project, Smartbridge

September 1, 2024 - October 25, 2025

Developed domain-specific GenAI models on Google Vertex AI, supporting multi-turn context-aware responses. Built retrieval-augmented generation (RAG) pipelines integrating vector search with LLMs for enterprise knowledge bases. Performed prompt engineering, fine-tuning, and evaluation using embedding similarity metrics and human-in-the-loop feedback.