Architecting Multi-Agent Intelligence & Systems.

Specializing in: AI & ML Engineer

B.Tech CSE (AI & ML) graduate building enterprise AI automation, high-performance RAG architectures, multi-agent workflows, and computer-vision systems. Experienced with Python, FastAPI, LangChain, LangGraph, Model Context Protocol (MCP), and modern developer tooling.

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25+ Verified Certs

7 Flagship Systems

15+ Agent Workflows

8.4/10 B.Tech CGPA

⚡ Multi-Agent & MCP Architect

Core Architecture

AI Engineering Architecture & Core Pillars

Explore the core architectural pillars, decentralized multi-agent topologies, and high-throughput vision runtimes powering my engineering practice.

Autonomous AI

Multi-Agent Systems & MCP

Architecting decentralized multi-agent topologies where specialized agents conduct AST parsing, security auditing, and automated consensus using LangGraph state graphs and Anthropic's Model Context Protocol (MCP).

LangGraph MCP Protocol RAG Pipelines pgvector

High Throughput

Production Backend & Vision Runtimes

Engineering scalable asynchronous microservices with FastAPI and SQLAlchemy. Building low-latency edge computer vision pipelines achieving sub-20ms inference loops using OpenCV, TensorRT, and Docker.

FastAPI Docker PyTorch OpenCV PostgreSQL

Automation

Agentic Workflow Automation

Bridging multi-modal LLMs with real-world enterprise interfaces. Implementing headless browser automation via Chrome DevTools Protocol (CDP:9222), document parsing OCR, and automated financial transaction auditing.

CDP Automation Vision LLMs Excel Analytics B2B Pipelines

Academics

Garden City University

B.Tech in Computer Science & Engineering (AI & ML)
Bengaluru, India • CGPA: 8.4 / 10.0 • Graduated 2026
Core focus on neural computing architectures, distributed algorithms, discrete mathematics, and secure software engineering.

B.Tech CSE (AI & ML) CGPA 8.4 Algorithms Bengaluru

Career Trajectory

Industry Experience

Practical application of artificial intelligence, intelligent document extraction, and enterprise automation in production environments.

AI Engineering Intern

Induspic Engineers • Bengaluru, Karnataka, India

Dec 2025 – Present

Spearheading enterprise AI initiatives to modernize business quotation pipelines, knowledge retrieval, and customer interactions.

▹ AI Business Automation & RAG: Designed and deployed AI-powered business automation solutions using LangChain, Retrieval-Augmented Generation (RAG), and vector databases to dramatically improve enterprise information retrieval.
▹ Intelligent Quotation Pipelines: Engineered end-to-end quotation automation workflows integrating autonomous AI agents, structured document processing, approval governance pipelines, and automated email delivery.
▹ Backend Microservices & APIs: Developed backend services and API integrations in FastAPI for centralized customer interaction, document lifecycle management, and workflow automation.
▹ Cross-Functional Delivery: Collaborated closely with cross-functional teams to translate complex operational bottlenecks into scalable, secure AI-driven solutions aligned with business targets.

LangChain RAG Vector DB FastAPI AI Agents Document OCR

Architectural Flagships & Production Projects

Featured AI Systems & Projects

Production-grade systems and open-source projects highlighting multi-agent orchestration, healthcare OCR intelligence, edge computer vision, and autonomous automation.

25 Accredited Credentials

Verified Credentials Showcase

Interactive 3D credentials matrix displaying 25 verified certifications spanning Anthropic, LangChain, Cisco, AWS, and Imperial College London. Hover over any tile to elevate, and click to view official verified certificates.