Atithi Jaiman
I like building backend systems and figuring out what happens behind the scenes when they start getting complicated.
My main interests are system design and distributed systems, and lately I’ve been exploring AI agents. I use AI regularly while coding, but I’m the kind of developer who still wants to understand the code, question it, and test it before trusting it.
CS undergrad focused on backend engineering.
I'm a Computer Science student at IIIT Dharwad focused primarily on backend engineering, distributed systems, and databases, alongside AI integration. I've built monitoring platforms, high-throughput pipelines, autonomous AI agents, and full-stack applications — working across APIs, queues, cloud deployment, and system architecture.
I enjoy understanding how backend systems work under the hood and turning complex infrastructure challenges into reliable, practical software.
Systems & Backend
Go, PostgreSQL, Redis, RabbitMQ, Distributed Systems, Concurrency, Networking
DevOps & Cloud
Docker, AWS, Jenkins, CI/CD
AI & Autonomous Systems
LLMs, RAG, LangChain, LangGraph, Qdrant, AI Agents
Full-Stack Development
React, Node.js, Express, TypeScript, REST APIs
Engineering Experience & Impact
Production contributions focused on automated audiovisual pipelines, STT transcription integrations, and deduplicated cron workers.
Full Stack AI Engineer Intern
@ Trivion TechnologiesEngineered end-to-end automated media pipelines and agentic LLM workflows to convert multi-format audiovisual content into structured, high-engagement LinkedIn posts.
Core Engineering Impact & Deliverables:
Built an automated media extraction pipeline using FFmpeg to strip and normalize audio from video reels, integrating Deepgram's Speech-to-Text API for high-fidelity timestamped transcriptions.
Integrated structured LLM prompting and post-processing APIs to distill lengthy transcripts into formatted, hook-driven LinkedIn posts tailored for social audience retention.
Developed a background automation worker supporting dual-mode execution (Cron-triggered scheduled batches and manual on-demand sync). Built deduplication logic to eliminate redundant Reel processing and reliably queue scheduled LinkedIn posts.
Featured Systems & Technical Case Studies
Interactive architectural breakdowns of multi-layer agent state machines, distributed telemetry pipelines, and sub-second in-memory matching engines. Click any card to expand the full technical case study.
Featured AI ArchitectureNEXA — Autonomous Multi-Layer AI Agent
5-layer agent framework with real-time UI observation, OS automation, and grounded vector memory
Distributed ArchitectureBackend Monitoring System
Plug-and-play asynchronous metrics SDK with RabbitMQ ingestion pipeline and automated alerting
Featured Systems ProjectDistributed In-Memory Cache in Go
Redis-inspired distributed key-value store built from scratch in Go with custom TCP protocol, CRC32 consistent hashing, and 2/3 quorum replication
Sub-Second ExecutionTradeInCase — Real-Time Trading Simulator
Sub-second virtual trading engine with Redis in-memory limit order matching and live WebSocket feed
Spatial GeofencingReal-Time Geo-Fenced Attendance System
Location-verified attendance platform using Socket.IO real-time coordination, geolib polygon spatial validation, and automated student domain verification
Full-Stack SystemPlacement Preparation & Job Management Platform
Full-stack placement platform combining interview preparation, daily quizzes, tasks, groups, and job application workflows with real-time Socket.IO messaging
System Design &
Engineering Blogs
In-depth architectural breakdowns of production systems, distributed messaging pipelines, database rollup strategies, and low-latency SDK designs.
Designing a Backend Monitoring System: From Naive HTTP Calls to 10× Distributed Scale
A deep technical walk-through on building a real-time backend monitoring system. Step-by-step evolution covering non-blocking SDKs, RabbitMQ load-buffering, PostgreSQL time-bucket rollups, stateful Slack alerting, and 10× scale optimizations.
Tools & Technologies
Core technologies, programming languages, agent frameworks, and distributed backend infrastructure used to build systems.
Web & Backend Development
Programming Languages
DevOps, Cloud & Infrastructure
AI & Autonomous Systems
Competitive Programming Milestones
High-speed algorithmic problem solving and contest performance under strict time and space constraints.
LeetCode Knight
Achieved Knight status with 1850+ contest rating in global LeetCode rounds, mastering complex graph algorithms, dynamic programming, and high-speed problem decomposition.
CodeChef 4★ Coder
Achieved 4-Star rank on CodeChef, competing in timed global rounds covering number theory, combinatorial optimization, dynamic programming, and graph algorithms.
800+ DSA Questions Solved
Solved 800+ data structures & algorithms problems across LeetCode, CodeChef, and GeeksforGeeks spanning binary trees, graph traversals, segment trees, and system design algorithms.
What I Like
SportsCricket & Tactics
Match strategies, seam movement, and high-pressure chase scenarios.
SportsBasketball & Hoops
Fast break plays, perimeter spacing, and high-energy court rhythm.
LifestyleCulinary & Good Food
Exploring rich spices, authentic regional cuisines & comforting meals.
EngineeringSystems & AI Coding
Autonomous agents, low-latency queues & backend pipelines.
AdventureExploring & Travel
Uncovering new places, scenic trails & spontaneous road trips.
Let's Build Systems Together
Open to discussing backend infrastructure roles, distributed systems engineering, and collaborative software projects.
Direct inbox for technical inquiries, backend architecture roles, and engineering opportunities.