Eshan Das

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Currently building ML pipelines and backend systems at Aecho.ai
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Versatile software developer pursuing a Bachelor's degree in Computer Science, with expertise in backend development and DevOps. I bring extensive experience in full-stack development, consistently delivering well-documented, tested, and scalable solutions.

Focus Areas: Backend Architecture, Machine Learning, DevOps Automation

Software Development Engineer

Aecho.ai
April 2024 – Present
Built scalable backend services with Node.js & FastAPI, reducing data fetching time
Implemented CI/CD pipelines with Docker Swarm & GitHub Actions for zero-downtime deployments
Deployed ML models achieving 90% accuracy for Disease Detection & Financial Predictions
Engineered WebSocket architecture supporting 1000+ concurrent connections with Redis Pub/Sub
Tech Stack
Scikit-learnTensorFlowFastAPIRedisDocker SwarmGitHub Actions
  • Lightweight TypeScript engine for interactive web stories
  • Modular architecture with 5+ core systems (character, scene, routing)
  • Published NPM package with 250+ downloads and CLI generator
15KB bundle • 95% browser support
TypeScriptJavaScriptWebpackNode.jsCLI Tools
  • Real-time signal control using Reinforcement Learning to reduce urban congestion
  • CCTV camera streams captured via WebSocket for live vehicle tracking
  • Uses YOLOv5 for object detection on live traffic feeds
  • Integrated with SUMO simulator for environment testing and training
  • Processed over 25,000 frames from live CCTV feeds in testing phase
25K+ frames processed • 30% wait time reduction • Trained with 1M+ simulation steps
Reinforcement LearningYOLOv5WebSocketOpenCVSUMO
  • Modern alternative to ngrok with zero config and no signup required
  • Blazing fast WebSocket-based tunneling with 0 warning pages or delays
  • Includes a real-time dashboard to monitor tunnel usage and traffic, can power upto 500+ concurrent connections
  • Fully open source and free forever, with optional self-hosting
500+ downloads
PythonWebSocketsCLIPyPI

Quantum DEX

Live
  • On-chain meme coin marketplace built with Solana and Anchor framework
  • Supports creation, purchase, and liquidation of tokens via a secure smart contract
  • Handles unlimited token supply with dynamic pricing and real-time market metrics
  • Implements 0.001 SOL minimum transaction fee and near-instant confirmation
  • Seamlessly integrates with frontend via Next.js and Solana’s SPL Token standard
<1s execution time • Cross-program invocation ready
RustAnchorSolanaTypeScriptNext.jsReactSPL Token

Graph RAG Chatbot

In Progress
  • Combines Graph Indexing with Retrieval Augmented Generation for context-rich responses
  • Integrates ChromaDB for high-speed vector similarity search
  • Backed by Llama-3 running locally via Ollama for efficient inference
  • Incorporates Neo4j knowledge graphs to model entity relationships and implements KAG for multi-hop reasoning
  • Achieved an accuracy boost of 18% over vanilla RAG on custom QA benchmark
10K+ nodes indexed • 18% accuracy boost
FastAPIChromaDBLlama-3Neo4jOllamaKAG

Languages

PythonJavaScriptJavaC++CrustgophpTypeScript

Frameworks

ReactNext.jsNode.jsFastAPIDjangoAstroExpress.jsSveltespring BootAngular

Cloud & DevOps

AWSGoogle CloudAzureDockerKubernetesTerraformCI/CDJenkinsRedisNginxApache Kafka

Database & ML

PostgreSQLMongoDBTensorFlowPyTorchRedisScikit-learnOpenCVMySQLgraphQLRAGMCPLarge Language Models

Bachelor of Technology in Computer Science

Netaji Subhash Engineering College
2022 – 2026

Currently pursuing advanced coursework in software engineering, machine learning, and distributed systems.