Generative AI engineer focused on LLMs, agents, and RAG—plus MCP-based tool use, n8n, Zapier, and Make for automation. From LangChain and LangGraph to vector DBs, LoRA/PEFT, Flask, Docker, and AWS.
Active • Ready for Deployment
Executing pipeline: Querying vector database for real-time inventory updates...
Success. RAG pipeline retrieved 43 relevant nodes in 124ms.
> Generating insight report...
> Efficiency gains identified: 98%
> Action: Automating ticket resolution.
Capabilities
Intelligent conversation engines that understand context and drive actions, not just template responses.
Custom pipelines and agents that execute multi-step tasks, call your APIs, and keep humans in the loop only when needed.
Extracting deep insights from messy unstructured data using custom RAG and analytics pipelines.
Real-time object detection and tracking for logistics, inventory, and security monitoring.
Orchestrate business processes with n8n, Zapier, and Make—triggered by events, schedules, or AI outputs—so ops teams move fast without rewriting everything in code.
Wire LLMs to real tools using the Model Context Protocol (MCP), plus CrewAI multi-agent setups and LangSmith for tracing, evals, and safer rollouts.
About me
I design and deploy agentic AI across NLP, computer vision, and recommendations—using LangChain, LangGraph, LangSmith, CrewAI, and MCP for tool-grounded agents. I also build and maintain flows in n8n, Zapier, and Make so business teams can automate without waiting on a full rewrite. Strong in prompt engineering, RAG, embeddings, and LoRA/PEFT fine-tuning.
Previously an AI researcher shipping deep learning and generative models with Docker-first deployment; now at Apprication building production systems on AWS with CI/CD, Flask APIs, and measurable business impact.
96%
Chatbot satisfaction
98%
Inventory effort cut
2+
Years in AI roles
Experience
Oct 2025 – Present
Apprication Pvt Ltd · Mumbai, India
Sept 2023 – Sep 2025
Daten & Wissen Pvt Ltd · Mumbai, India
Education & certification
Portfolio
Differentiation
I don't just ship notebooks. I ship production-ready, containerized services that scale.
From data collection and ETL to UI integration and feedback loops.
I stay ahead of the SOTA, implementing the latest RAG architectures and LLM optimizations.
Every line of code is written with your bottom line and operational efficiency in mind.
Connect models to your stack with MCP, then orchestrate handoffs through n8n, Zapier, or Make—observable in LangSmith when you need traces, tests, and safer releases.
Ready to automate your business with AI? Reach out for a consultation.