Rohan Desai

Generative AI Solutions Engineer

AI / MLAI/ML EngineerAI/MLAvailable for hire
Experience
4+ yrs
Skills
31
Projects
3
Certifications
4

Generative AI Solutions Engineer with 4 years of experience delivering enterprise AI applications using LLMs, NLP, AI agents, and intelligent automation. Skilled in building conversational AI, document intelligence, recommendation systems, and production-ready AI APIs with strong knowledge of cloud deployment and MLOps.

Expertise & skills

Programming
PythonSQLJavaScript
Generative AI
LangChainLangGraphCrewAIPrompt EngineeringRAGFunction Calling
Machine Learning
Scikit-learnXGBoostPyTorch
NLP
spaCyNLTKSentence Transformers
LLMs
OpenAI GPT-4ClaudeLlama 3Gemini
Vector Databases
PineconeMilvusChromaDB
Cloud
Microsoft AzureAWS
Databases
PostgreSQLRedisMongoDB
Tools
FastAPIDockerGitHub ActionsMLflow

Selected projects

AI Financial Report Analyzer

PythonOpenAI GPT-4LangChainPineconeFastAPI

Developed a GenAI platform that summarizes financial reports, extracts KPIs, and answers business questions using Retrieval-Augmented Generation.

Intelligent Email Automation Assistant

LangGraphClaudeAzure OpenAIRedis

Built an AI assistant that classifies emails, drafts responses, prioritizes requests, and automates workflows.

Manufacturing Predictive Maintenance

PythonXGBoostPostgreSQLDocker

Created machine learning models to predict equipment failures from sensor data, reducing unplanned downtime.

Ways of working

Problem SolvingLeadershipClient CommunicationAnalytical ThinkingAgile CollaborationInnovation

Certifications

  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Cloud Practitioner
  • Generative AI with Large Language Models
  • Prompt Engineering for AI Applications

Education

  • Bachelor of Engineering (Information Technology)

Achievements

  • Reduced document review effort by 70% using AI-powered summarization.
  • Improved chatbot response relevance by 42% through optimized prompts and RAG.
  • Delivered 15+ enterprise AI proof-of-concepts.
  • Reduced model deployment time by 45% with automated CI/CD pipelines.

Similar engineers

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