About AITrail:
Making AI accessible, transforming the future now.
AI is a generational and transformative technology that can be overwhelming. The roll out of such technology should be well thought out and carefully planned to avoid disruptions and maximize positive outcomes.
Our company’s mission is to make AI accessible and simplify technology adoption, empowering you to transform your business. We are committed to maximizing the value AI brings to your organization.
Our solutions enable the rapid integration of AI with your business applications. Our experts are available to ensure smooth implementation and work with your team to operational, optimize, and ensure successful adoption.
Our Team
We are focused on building products and solutions to make AI accessible to all enterprises, and believe our people are our greatest asset. Here are the executives and some key members of our team who are driving innovation and making things happen.
Logan Chella
Founder and CEO
Logan brings nearly three decades of experience building and transforming large and global scale software solutions. Logan is responsible for all aspects of AITrail products and services. He previously served as CEO at Cyber Innovations, Leading IT strategy and business transformation initiatives for corporations and Federal Government agencies.
An early champion of Artificial Intelligence and nearly a decade of AI implementations expertise. He co-authored “Innovative supply Chain Management via Digitalization and Artificial Intelligence”.
Logan holds a Bachelor of Science degree from University of Madras, India and Post Graduate honors program in Systems Management from NIIT Chennai.
Ram Sankaran
Co-Founder and Chief AI Officer (CAIO)
Ramnath Sankaran is an IT veteran with over 20 years in AI, data science, and architecture, now Co-Founder at AI Trail, leading innovative AI solution development. Previously at C3 AI, he designed AI/ML systems for sectors including energy and pharmaceuticals. His prior roles include Director Consulting at CGI, where he led data analytics and architecture projects for the US Census, and management of enterprise applications at Avendra LLC and Micros Systems.
Reddy Velagala
Chief Technology Officer (CTO)
Reddy Velagala is a strategic thinker and accomplished senior technology executive renowned for driving impactful solutions and spearheading strategic initiatives. With a proven track record and expertise across various IT domains, including software product development, infrastructure, and cybersecurity, Reddy leads technology and product strategy at AITrail. He has played a key role in successfully adopting AI/ML technologies for e-commerce fraud management, cybersecurity, and IT infrastructure automation among other use cases.
Saranya Gopalan
Senior AI Architect
Saranya is a dynamic Senior Machine Learning Engineer, Business Intelligence Developer, and Research & Development Specialist renowned for her prowess in leveraging data to fuel business growth and innovation. With a background spanning data science, business analytics and cutting-edge AI research, excels in developing machine learning models, RAG based chatbots, designing BI solutions, and pioneering new AI technologies to tackle intricate challenges and steer strategic decision-making. Proficient in Python, SQL, and BI tools like Power BI, Qlik her innovative solutions have significantly impacted various industries like finance, life science and healthcare. Committed to continuous learning and community involvement, she is not only a skilled professional but also a passionate advocate for AI's potential in shaping the future.
Ganesh Arumugam
IT Head, AITrail India
Ganesh is the IT Head - India at AI Trail, overseeing IT operations and ensuring the smooth deployment of AI solutions. Prior to joining AI Trail, he held a key position at Wipro.
Careers
We're hiring! Passionate about Generative AI? Join us to make AI accessible across industries. Developers and integration engineers—let's innovate together.
Overview: Join AI Trail as an AI Engineer, bringing at least 5 years of experience in advanced AI technologies to design, develop, and manage AI models and systems that integrate seamlessly with our infrastructure.
Responsibilities:
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Design and Development: Design, develop, and manage AI models and systems to integrate with AI Trail's existing infrastructure.
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Data Handling: Skilled in data preprocessing, modeling, and deploying models in cloud environments such as AWS, Azure, or Google Cloud.
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Collaboration: Collaborate effectively with cross-functional teams to define project requirements and implement solutions.
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Leadership: Lead projects and mentor junior staff, fostering an environment of learning and growth.
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Innovation: Engage in research and leverage new technologies to keep AI Trail at the forefront of AI development.
Requirements:
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Proficiency in Python, R, or Java.
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Expertise in AI frameworks like TensorFlow, PyTorch, or Keras.
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Strong understanding of machine learning algorithms, including deep learning and traditional methods.
Overview: Enhance our AI systems as a Prompt Engineer by developing AI-generated text prompts that improve user interaction and system efficiency.
Responsibilities:
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Create and optimize AI-generated text prompts across various applications.
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Collaborate with product teams and content creators to align outputs with business goals.
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Analyze and report on prompt performance, suggesting continuous improvements.
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7+ years in prompt engineering or similar roles.
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Expertise in AI tools like ChatGPT, machine learning, and NLP.
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Strong analytical skills and proficiency in programming languages.
Overview: Join our team as a Generative AI Implementation Specialist to deploy advanced AI models in diverse environments. Collaborate with teams, develop custom AI solutions, and lead integration projects for transformative business impacts.
Responsibilities:
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Design and implement AI solutions based on business requirements.
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Develop, optimize, and maintain generative AI models.
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Integrate AI systems into client platforms for enhanced functionality.
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Manage deployment and ensure robust performance of AI applications.
Requirements:
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Master’s or PhD in a related field.
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Experience with AI models, NLP, TensorFlow, PyTorch.
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Strong coding skills in Python, Java, or C++.
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Knowledge of DevOps, cloud platforms (AWS, Azure), and container technologies.
All set to be AI-ready? Talk to us today!
