AI Applications Developer × Agentic AI Builder
I build AI-powered applications, intelligent automation workflows, and agentic AI systems using Large Language Models, RAG architectures, and Python to solve real-world problems.
I am an IIT Madras BS Data Science student building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Python. My work focuses on document intelligence, data analysis, and workflow automation.
My work sits at the intersection of AI engineering, workflow automation, and agentic systems. I build solutions using LLMs, vector databases, APIs, and orchestration frameworks to create intelligent applications that can retrieve information, reason through tasks, and take action.
I enjoy turning complex AI concepts into practical tools such as RAG-based assistants, data analytics applications, and automation workflows that solve real-world problems.
Building LLM-based systems using RAG pipelines, vector databases, and reasoning workflows for intelligent information retrieval and task execution.
Developing AI agents capable of planning, tool usage, and multi-step reasoning to solve complex tasks autonomously.
Designing workflow automation systems using APIs, orchestration frameworks, and low-code tools like n8n, Make, and Zapier.
Core language for building AI applications, data pipelines, APIs, and automation scripts using modern frameworks.
Designing REST APIs, webhooks, and third-party integrations to connect services and enable scalable AI systems.
Transforming raw data into insights using Pandas, visualization tools, and statistical analysis techniques.
Writing optimized queries, designing databases, and supporting data-driven applications and analytics workflows.
A powerful, AI-driven tool that helps you generate personalized LinkedIn posts. It uses large language models to analyze your writing style and craft posts that sound authentically like you, based on given topics and preferences.
A document-based question answering system that enables semantic search over PDFs using embeddings and vector search.
A dataset analysis tool that automatically explores CSV data, generates insights, and summarizes patterns for faster understanding of structured data.
End-to-end automation system for capturing, qualifying, storing, and following up on leads using AI-driven workflows.
A system that evaluates startup ideas using structured AI prompts and generates consistent feedback for faster decision-making.
Automated reporting system that processes sales data, extracts KPIs, and generates AI-powered insights for business performance tracking.
Every intelligent system I build follows a structured, repeatable methodology that ensures reliability, scalability, and real business impact.
Data enters the system from any source — form submissions, emails, webhooks, database changes, scheduled jobs, or API calls. The workflow activates intelligently based on predefined triggers and conditions.
The AI layer analyzes, classifies, and extracts meaning from incoming data. LLMs interpret context, agents consult knowledge bases, and models generate structured outputs that drive the next phase of the workflow.
Based on AI output and business rules, the system makes intelligent routing decisions. Conditions are evaluated, priority is assessed, and the workflow branches to the correct execution path — all autonomously.
Automated actions execute across connected systems — CRMs update, emails send, Slack notifications fire, databases record, and dashboards refresh. The loop closes with logging, monitoring, and continuous improvement.
Have an automation challenge? Building an AI agent? Looking for a collaborator who can turn complex business processes into intelligent systems? Let's talk.