About Me
Applied GenAI / AI Systems Engineer with 1.5+ years of experience building and deploying LLM-powered systems, automation platforms, and internal AI tools in production environments.
B.Tech in CSE @ CSPIT - CHARUSAT | Diploma in IT @ Lukhdhirji Engineering College - Morbi | Strong focus on GenAI, RAG systems, multi-agent architectures, and AI enablement across business functions.
I don't just build cool demos — I translate real organizational pain points into scalable AI solutions. My work spans LLM platforms, automation workflows, and cross-functional AI transformation initiatives.
Experience
Associate AI/ML Engineer
- Designed and deployed LLM-powered internal platforms using RAG (Weaviate, PGVector) for Sales, Operations, and QA teams.
- Built an internal MCP-based multi-agent AI platform (on Agno) supporting document Q&A, ticket resolution, and automated test-case generation.
- Developed single-agent, multi-agent, and hierarchical agent systems with orchestration, access control, and logging.
- Built an end-to-end Hardware & BOQ system reducing 2 days of manual work to 2 hours for Sales/Presales teams.
- Implemented WhatsApp ticket automation serving ~200 customers with 10–20 tickets/day using Meta APIs and n8n.
R&D AI Engineer (Intern → Full-Time)
- Conducted deep research on Text2SQL systems (schema grounding, query planning, execution strategies).
- Evaluated automation frameworks (n8n, Dify, Zapier-class) for enterprise AI workflow suitability.
- Built multi-agent automated blog generation pipeline publishing 2-3 external blogs/week.
- Led architectural analysis of MoveWorks (closed-source) to inform internal product strategy.
Data Science Intern (R&D)
Worked on LLM localization using Mistral 7b v0.3 Instruct model, hosted via Ollama/LMStudio with Docker containerization for cross-platform deployment.
Forage Virtual Intern
Completed internships across API Development, Solutions Architecture, Cyber Security, Data Analysis, and Software Development Infrastructure.
AI Transformation & Enablement
Worked directly under CEO, COO, AIOps Manager, and ServiceOps Manager to drive organization-wide AI transformation initiatives.
- Conducted 1:1 discovery sessions with 9 departments to identify pain points and automation opportunities
- Designed and delivered cross-department AI enablement sessions focused on practical, outcome-driven usage
- Created and distributed AI enablement packages (guides, tools, workflows) for different business functions
- Established monthly internal AI newsletters highlighting relevant tools, frameworks, and use cases
- Personally built complex AI systems where requirements exceeded self-serve capabilities
Education
Bachelor of Technology
Focused on advanced computing, machine learning, and software engineering fundamentals.
Diploma of Engineering
Foundation in programming, database systems, and web technologies.
Tech Stack
GenAI / LLMs
- RAG Systems & Text2SQL
- Multi-Agent Architectures
- LangChain / LlamaIndex
- Prompt Engineering
- Agent Orchestration
ML & Data Science
- TensorFlow / PyTorch
- Vector Databases
- Embeddings & Evaluation
- Model Development
Automation & Infra
- n8n / Dify / MCP Frameworks
- Docker / Kubernetes
- Weaviate / PGVector
- PostgreSQL / MongoDB
Languages & Cloud
- Python / C++
- JavaScript / TypeScript
- AWS / GCP / Azure
- Git / Postman