Harsh Vyas

AI Engineer

AI / MLAI/ML EngineerAI/MLAvailable for hire
Experience
4+ yrs
Skills
34
Projects
3
Certifications
4

AI Engineer with 4 years of experience building enterprise AI applications using Natural Language Processing, Large Language Models, semantic search, and intelligent automation. Experienced in developing AI assistants, knowledge management platforms, and recommendation systems with production-grade deployment practices.

Expertise & skills

Programming
PythonSQLJava
Artificial Intelligence
Machine LearningDeep LearningNLPGenerative AISemantic Search
Frameworks
PyTorchScikit-learnFastAPIHugging FaceHaystack
Generative AI
LangChainLlamaIndexPrompt EngineeringRAGOpenAI API
LLMs
OpenAI GPT-4ClaudeLlama 3Mistral
Vector Databases
Elastic Vector SearchChromaDBFAISS
Cloud
Microsoft AzureAWS
Databases
PostgreSQLRedisMongoDB
Tools
DockerGitAzure DevOpsMLflow

Selected projects

Enterprise Knowledge Management Assistant

PythonLangChainOpenAI GPT-4ChromaDBFastAPI

Built an AI-powered search platform enabling employees to retrieve accurate answers from policies, SOPs, and technical documentation.

AI-Based Ticket Classification System

Hugging FacePyTorchPostgreSQLMicrosoft Azure

Developed a solution that automatically categorizes, prioritizes, and summarizes customer support tickets using NLP and LLMs.

Personalized Learning Recommendation Engine

Scikit-learnRedisDocker

Created a recommendation platform suggesting personalized learning content based on user behavior and skill gaps.

Ways of working

Critical ThinkingProblem SolvingCommunicationTeam CollaborationAdaptabilityMentoring

Certifications

  • Microsoft Certified: Azure AI Fundamentals
  • AWS Certified AI Practitioner
  • Hugging Face NLP Course
  • Generative AI Applications with LLMs

Education

  • Bachelor of Engineering (Information & Communication Technology)

Achievements

  • Improved enterprise document search accuracy by 43%.
  • Reduced support ticket resolution time by 52% using AI automation.
  • Delivered AI solutions for education, IT services, and enterprise knowledge management.
  • Standardized reusable AI components, reducing development effort by 30%.

Similar engineers

Other AI / ML engineers with comparable experience.

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