BA
Bharath Abhinesh AI & ML Engineer
SYS://AI_ORCHESTRATOR
Bengaluru, Karnataka, India

Architecting Multi-Agent Intelligence & Systems.

Specializing in: AI & ML Engineer

B.Tech graduate in Computer Science & Engineering (AI & ML) with hands-on experience in IT automation, AI applications, and backend development. Built RAG workflows, AI-agent automations, REST API integrations, OCR pipelines, and computer-vision systems using Python, FastAPI, LangChain, PyTorch, and OpenCV.

25+ Verified Certs
7 Flagship Systems
15+ Agent Workflows
8.4/10 B.Tech CGPA

Bharath Abhinesh A

AI / ML Engineer
B.Tech CSE (AI & ML) • Bengaluru
Garden City University • CGPA: 8.4/10 • Graduated: July 2026
Bharath Abhinesh A - AI & ML Engineer
Bharath Abhinesh A • AI / ML
Engineered With Modern AI & Cloud Technologies

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 REST API integrations. Building low-latency edge computer vision pipelines achieving 24ms inference loops (~40 FPS) using OpenCV, PyTorch, 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: July 2026
Core focus on neural computing architectures, distributed algorithms, discrete mathematics, and secure software engineering.

B.Tech CSE (AI & ML) CGPA 8.4 Graduated July 2026 Bengaluru

Industry Experience

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

IT Automation Intern

Induspic Engineers • Bengaluru, Karnataka, India
Dec 2025 – Present

Spearheading internal IT automation workflows, document retrieval RAG pipelines, and automated quotation systems at Induspic Engineers.

  • ▹ Document-Search RAG Workflow: Built an internal document-search workflow using Python, LangChain, Retrieval-Augmented Generation (RAG), and vector databases, reducing average information-retrieval time by 49% compared with the existing manual lookup process.
  • ▹ Automated Quotation Pipeline: Developed an automated quotation workflow combining document processing, AI-assisted information extraction, approval steps, and email automation, reducing manual effort in quotation preparation and follow-up.
  • ▹ Backend Services & REST APIs: Developed backend services and REST API integrations for internal business workflows, connecting document processing, customer information, and automated communication.
  • ▹ IT Process Automation: Automated repetitive IT and operational processes by integrating AI workflows with existing business systems, reducing manual intervention and improving consistency across recurring tasks.
  • ▹ Operational Delivery & Rollout: Worked with business and operational teams to understand workflow requirements, implement automation solutions, test outputs, and support their transition into internal use.
Python LangChain RAG Vector DBs FastAPI REST APIs IT Automation Document OCR

Featured AI Systems & Projects

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

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.

Accrediting Bodies & Industry Organizations

Skills & Stack Matrix

A comprehensive overview of programming languages, frameworks, vector databases, and developer infrastructure in my daily toolkit.

3D Helix Explorer

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Technical Competencies Wheel Drag or scroll wheel
Advanced LLMs, Vector Engines & Agentic Tooling

Autonomous Collaboration & Dispatch Station

Initiate a direct transmission, explore full-time AI/ML engineering roles, discuss multi-agent systems, or access verified developer profiles.

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IMMEDIATE AVAILABILITY
Primary Communication Line bharathvk75@gmail.com
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SECURE PROTOCOL