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Kv-Logics/README.md
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Backend Engineer · Enterprise AI Architect · Cloud-Native SDE

Typing SVG


LinkedIn LeetCode Email


$ whoami

name:      Keerthi Vasan
role:      Backend Architect · Enterprise AI · Cloud-Native SDE
education: CCE @ Amrita Vishwa Vidyapeetham
location:  Tamil Nadu, India

engineering_focus:
  - High-Throughput Microservices (Spring Boot 3, Go, Kafka)
  - Agentic AI Systems & Smart RAG (Spring AI, Bedrock, PGVector)
  - Cloud Infrastructure & Kubernetes (GKE, AWS EC2/Lambda, Docker)

problem_solving:
  - System-First Problem Solving (Distributed Trade-offs, CAP & Resilience)
  - Advanced Data Structures & Algorithms (150+ Solved on LeetCode @Kvasan)
  - Competitive Programming & Algorithmic Reasoning

open_to:
  - High-Impact Backend & SDE Engineering Roles
  - Enterprise AI & Cloud Native Systems Architecture
  - Solving Complex, Scalable Real-World Engineering Problems

Developer Animation Banner


$ cat philosophy.txt

I sit at the intersection of scalable backend systems and intelligent AI workflows.

System-First Mindset: I approach software engineering from a first-principles architectural perspective — evaluating distributed trade-offs (CAP theorem, latency vs. consistency), data partitioning, and fault-tolerant boundaries before writing code.
Engineering Philosophy: Deconstruct complex real-world problems into modular, high-throughput microservices that are resilient, scalable, and self-improving.


> tech_stack --list

Backend

Backend
Cloud

Cloud

AWS Lambda AWS Fargate API Gateway Amazon S3 Bucket CloudFront Route 53 Nginx RHEL
AI/ML

AI/ML

AWS Bedrock Amazon Kendra Spring AI RAG YOLOv8 LangChain FAISS
Databases

Databases

Amazon Aurora Amazon DynamoDB Amazon RDS PGVector H2
Security

JWT OAuth Cognito IAM KMS WAF RBAC
Languages

Languages
Frontend

Frontend
CS Core

DSA System Design Distributed EDA
Tools

Tools

> projects --featured

Voice-first agentic civic automation for rural India via Amazon Connect IVR & Web Phone Emulator. Uses Amazon Kendra Smart RAG for document retrieval, AWS Lambda webhooks, AWS Bedrock (Claude 3.5), and a deterministic rules engine.

Stack: AWS Bedrock · Kendra (RAG) · AWS Lambda · Connect · Next.js 16 · Python

AWS Bedrock Amazon Kendra AWS Lambda

MCP-powered agentic AI platform for real-time manufacturing root-cause analysis. Orchestrates 4 specialized AI agents with Model Context Protocol (MCP) and Nitrostack to convert fragmented MES/sensor data into evidence-backed corrective actions.

Stack: Model Context Protocol (MCP) · Nitrostack · Gemini · Python · FastAPI · React

MCP Protocol Google Gemini Python

Production biometric face attendance & real-time campus geofencing platform for Amrita Vishwa Vidyapeetham. Features ArcFace 512-D ONNX embeddings, PGVector similarity search, MiniFASNetV2 anti-spoofing, and Ray-Casting PiP geofencing.

Stack: Python · FastAPI · PyTorch/ONNX · PGVector · Next.js 15 · Leaflet.js

PyTorch PGVector FastAPI

Enterprise High-Throughput Concurrent File Distribution Engine & Zero-VPN Campus Intranet Mesh Relay Gateway. Features parallel 1-to-10 FTP/FTPS fan-out delivery with cryptographic SHA-256 integrity, WebSocket reverse tunneling for remote firewall bypass, and an on-demand AWS EC2 cost controller.

Stack: Java 21 · Spring Boot 3 · MongoDB Atlas · WebSocket Reverse Tunneling · Docker · AWS EC2

Java 21 Spring Boot 3 MongoDB

Enterprise-grade multi-channel notification engine powering Klarixa AI's GxP compliance SaaS platform. Features 4-tier Redis priority queues, sliding-window rate limiting, circuit breaker fault tolerance, and Jinja2 templating.

Stack: FastAPI · Python 3.11 · PostgreSQL · Redis · Docker · AWS EC2

FastAPI PostgreSQL Redis

Production-grade Spring Boot microservices integrated with AWS Bedrock & PGVector. Orchestrates LLMs (GPT-4o, Claude, Llama), high-throughput RAG search, and real-time Kafka event streaming.

Stack: Java 21 · Spring Boot 3 · Spring AI · AWS Bedrock · PGVector · Kafka

Java 21 Spring AI Kafka


📜 > achievements --list

Year Role / Milestone Domain & Technical Impact
2026 AI Engineer Intern @ Sparks AI Multi-tenant CommandOS platform, PostgreSQL RLS, OAuth2 PKCE & 429 Vitest tests
2026 DevOps Lead @ NIT Trichy RHEL 9 server infrastructure, systemd services & deployment
2026 Google Certified GKE Architect Enterprise Kubernetes workloads, Helm & cluster architecture
2025 AI Engineer Intern @ Infosys Production GenAI systems, RAG search & LLM orchestration
2025 Built LeetCode Progress Tracker Next.js 15 + Supabase full-stack interview prep engine
2025 150+ DSA Problems Solved Active competitive problem solver on LeetCode (@Kvasan)
2024 IoT + AI Integrated Systems Applied computer vision, sensor telemetry & edge AI
2024 Codefest Competitor Competitive programming circuit & algorithm design

🧩 > leetcode --tracker

LeetCode Profile Built By Me


🚀 My Custom Engineering Project: Engineered LeetCode Progress Tracker — a full-stack interview prep engine that automates problem metadata fetching via GraphQL, manages company-wise DSA sheets (Google, Meta, Amazon), and persists user progress with Next.js 14 & Supabase.


> environment

Ubuntu RHEL Zsh IntelliJ IDEA VS Code Ghostty


> contact --connect


Backend Engineering Enterprise AI Engineering Software Development Engineer Cloud Native Engineering



Core Infrastructure & Cloud Stack



Building Enterprise AI & Distributed Systems | Open to SDE, Backend & AI Engineering roles.


LinkedIn    Email    LeetCode



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