Harsh Vishnu
@harshvishnu
AI engineer building production-ready generative AI systems.
What I'm looking for
I am an AI engineer specializing in end-to-end and generative AI solutions, with hands-on experience building, optimizing, and deploying production systems using Python and open-source LLMs.
I have designed inference pipelines, agent-based systems, and full-stack AI applications using FastAPI/Django and React, and I deploy and scale services on AWS (EC2, RDS, S3, IAM) following cloud-native best practices.
My projects include CNN-based skin disease classification and YOLO-based animal detection and crash avoidance, leveraging TensorFlow, Keras, OpenCV, and transfer learning to improve model accuracy and real-time performance.
I hold a B.E. in Artificial Intelligence and Machine Learning, relevant Google certifications, and a strong focus on translating complex business problems into ethical, production-ready AI solutions.
Experience
Work history, roles, and key accomplishments
AI Engineer
VeARC Technologies Private Limited
Jun 2025 - Present (8 months)
Architect and deploy end-to-end AI solutions and production-ready systems using open-source LLMs and modern ML frameworks; scaled inference and applications on AWS, improving deployment reliability and security.
AI Specialist Intern
VeARC Technologies Private Limited
Mar 2025 - Jun 2025 (3 months)
Developed LLM-based intelligent agents and generative AI solutions, contributing to ML orchestration and cloud-based AI deployment for portfolio companies.
Education
Degrees, certifications, and relevant coursework
B.M.S. College of Engineering
Bachelor of Engineering, Artificial Intelligence and Machine Learning
Grade: CGPA 7.31
Completed a Bachelor of Engineering in Artificial Intelligence and Machine Learning with coursework in Machine Learning, Artificial Intelligence, Database Management Systems, and Generative AI.
Availability
Location
Authorized to work in
Job categories
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