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Ishan Kumar

Open to work1 years experience

Backend & AI Engineer

Bengaluru, KarnatakaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Backend & AI Engineer | Python, Go, PostgreSQL, RAG/LLM Systems, AWS, Azure, Docker

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

34 skills
pythongotypescriptjavascriptsqlfastapinode.jsexpress.jsrestful apisgraphqljwtredisrag pipelineslangchainmulti-agent systemsgemini apiopenai apillm integrationpostgresqlfirebase firestoremongodbconnection poolingawsazuredockernginxci/cdlinuxgitpostmanpuppeteervs codecursorclaude code

Work Experience

Software Engineer (Full-Time)

Rayvector Technologies

Sep 2025 - Present Bengaluru, Karnataka
  • Designed and shipped a production backend for a Plot Management System used by a multinational client — built with FastAPI, PostgreSQL, JWT auth, cursor-based pagination, and Redis caching to handle concurrent requests efficiently
  • Led a full Firebase-to-PostgreSQL migration: redesigned APIs, database schema, and cloud infrastructure with zero downtime, reducing data-fetch latency and improving query reliability
  • Containerized services with Docker and deployed on Azure VM behind an Nginx reverse proxy; managed DNS and production pipeline for two live environments
  • Built a RAG-powered AI documentation generator using Gemini API and a 3-agent system (code analysis, writing, QA) that automatically produces structured DOCX/PDF docs from any codebase
  • Developed and deployed a Voting Platform REST API on AWS EC2 with PostgreSQL, supporting full CRUD operations for production use

Projects

TicketFlow

GoPostgreSQLRedisREST APIsDocker
  • Concurrent Event Management & Ticket Booking REST API in Go, JWT-based RBAC, Optimistic locking, Immutable audit trail, Redis rate limiting, ensuring zero double-bookings and 100% data integrity during traffic surges.

SkillForge

PythonAST ParsingMulti-Agent SystemsClaude SkillsMCP
  • Procedural memory layer for AI coding agents that distills LLM-generated bug fixes into reusable Claude Skill files via AST-based retrieval and human-gated approval, achieving ~50× token reduction (~3000 → ~80) on repeat-class errors

Market Research AI

PythonLangChainGemini APITypeScript
  • Built a multi-agent AI tool that automates 95% of market research workflows — scans 1000+ data points, generates company reports, and produces investment proposals for the GenAI/LLM sector

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Certification

Google – Orchestrate Complex Multi-Agent Workflows

Certification

Databricks – AI Agent Fundamentals

About Details

Professional Bio

Backend & AI Engineer with expertise in Python, Go, and PostgreSQL. Experienced in building RAG/LLM systems, cloud infrastructure, and scalable REST APIs. Proven track record in production-grade backend development and multi-agent AI orchestration.

B.Tech in Computer Science and Engineering

Rajiv Gandhi Institute of Petroleum Technology (RGIPT) (2021 - 2025)

Languages: English, Hindi
Email: Locked