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Hi, I'm Arun Simharajula, an AI Engineer with comprehensive experience in building production-ready machine learning systems, AI agents, and real-time analytics. I specialize in scalable deployments across computer vision, NLP, and large language models leveraging modern MLOps and cloud technologies. I'm passionate about developing efficient and innovative AI solutions that create real-world impact and drive business value. I thrive in dynamic environments where I can apply my expertise in Python, TensorFlow, PyTorch, and cloud platforms like Azure and AWS to solve complex problems. Whether optimizing supply chains, automating insights, or advancing computer vision applications, I bring a collaborative and solution-oriented approach to every project.…Hi, I'm Arun Simharajula, an AI Engineer with comprehensive experience in building production-ready machine learning systems, AI agents, and real-time analytics. I specialize in scalable deployments across computer vision, NLP, and large language models leveraging modern MLOps and cloud technologies. I'm passionate about developing efficient and innovative AI solutions that create real-world impact and drive business value. I thrive in dynamic environments where I can apply my expertise in Python, TensorFlow, PyTorch, and cloud platforms like Azure and AWS to solve complex problems. Whether optimizing supply chains, automating insights, or advancing computer vision applications, I bring a collaborative and solution-oriented approach to every project.

Arun Simharajula

AI Engineer, AI Developer, Data Scientist, +1

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Hi, I'm Arun Simharajula, an AI Engineer with comprehensive experience in building production-ready machine learning systems, AI agents, and real-time analytics. I specialize in scalable deployments across computer vision, NLP, and large language models leveraging modern MLOps and cloud technologies. I'm passionate about developing efficient and innovative AI solutions that create real-world impact and drive business value. I thrive in dynamic environments where I can apply my expertise in Python, TensorFlow, PyTorch, and cloud platforms like Azure and AWS to solve complex problems. Whether optimizing supply chains, automating insights, or advancing computer vision applications, I bring a collaborative and solution-oriented approach to every project.…Hi, I'm Arun Simharajula, an AI Engineer with comprehensive experience in building production-ready machine learning systems, AI agents, and real-time analytics. I specialize in scalable deployments across computer vision, NLP, and large language models leveraging modern MLOps and cloud technologies. I'm passionate about developing efficient and innovative AI solutions that create real-world impact and drive business value. I thrive in dynamic environments where I can apply my expertise in Python, TensorFlow, PyTorch, and cloud platforms like Azure and AWS to solve complex problems. Whether optimizing supply chains, automating insights, or advancing computer vision applications, I bring a collaborative and solution-oriented approach to every project.

Available to hire

Hi, I’m Arun Simharajula, an AI Engineer with comprehensive experience in building production-ready machine learning systems, AI agents, and real-time analytics. I specialize in scalable deployments across computer vision, NLP, and large language models leveraging modern MLOps and cloud technologies. I’m passionate about developing efficient and innovative AI solutions that create real-world impact and drive business value.

I thrive in dynamic environments where I can apply my expertise in Python, TensorFlow, PyTorch, and cloud platforms like Azure and AWS to solve complex problems. Whether optimizing supply chains, automating insights, or advancing computer vision applications, I bring a collaborative and solution-oriented approach to every project.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Developer at Nitro Solutions 23 Ltd.

October 1, 2024 - Present

Developed targeted marketing systems using computer vision and machine learning to tailor in-store advertisements improving product sales by 7% in 4 months. Created AI analysis agents using LangChain, Hugging Face, LLMs, and SQL to automate business insights, saving over 30 analyst hours per month. Designed scalable Python backend systems with microservices architecture, implementing RESTful APIs using Flask and FastAPI. Built AI agents for inventory management enhancing supply chain efficiency by 30% with demand forecasting and automated order suggestions. Engineered document understanding agents with OCR and embedding models reducing manual data entry by 85% and enabling real-time analytics integration.

Senior Research Engineer II (Machine Learning) at Jukshio Technology Innovations Pvt Ltd.

January 31, 2022 - August 26, 2025

Implemented large-scale distributed training using PyTorch DDP and FSDP across multi-GPU clusters to accelerate model training. Designed continuous learning pipelines with Airflow, Kafka, MLFlow, and Jenkins for automated ETL, retraining, testing, and CI/CD deployment of ML models. Built and deployed deep learning-based models integrated into scalable web applications for real-time predictions. Automated ML pipelines using MLFlow, Kubeflow, and Jenkins reducing model training time by 30% and deployment cycles. Led AI/ML development in NLP and computer vision, increasing efficiency by 30% and decreasing processing time by 20%. Applied Vision Transformers for retail shelf planogram compliance, improving product placement accuracy by 25%.

ML Engineer at Sukshi Technology Innovations Pvt Ltd.

April 30, 2020 - August 26, 2025

Developed facial recognition technology achieving 82% accuracy for 200k users reducing false positives by 50% for security and fraud detection. Applied NLP techniques such as tokenization, named entity recognition, sentiment analysis, and semantic similarity with NLTK and SpaCy, improving processing time by 25%. Built classifier models using Gradient Boosting and XGBoost enhancing predictive performance by 20%. Utilized GANs for data augmentation, boosting model accuracy by 15% in low-data scenarios. Containerized and deployed ML models on AWS EC2 and Azure with Docker and CI/CD pipelines reducing deployment time by 40%.