Building at the intersection of software & AI
//Manager — Software R&D · Full-stack · Applied AI

I build software for complex worlds.

I'm Eklavya Ghodake — I build software for the factory floor: real-time telemetry, distributed streaming pipelines, and AI that reads engineering drawings.

Software R&D Lead / Manager at Yantramedhavi India, architecting event-driven telemetry microservices, zero-loss disaster recovery, and edge services for industrial manufacturing.

Creator of open-source developer tools including MQTT-GO (concurrent Go client) and CTQ-Extraction (AI drawing extraction skill).

System map / 001Connected thinking
Edge & devicesReal-world factory telemetry & signals
INPUT
Events & servicesMQTT, Redis streams, Spring Boot microservices
PROCESS
Data & retrievalMongoDB time-series, on-change aggregation (−70%)
CONTEXT
Apps & AIReact dashboards, local RAG & CTQ extraction
OUTPUT
DESIGN FOR THE REAL WORLDBuild · Connect · Reason
What I care about

Useful engineering, end to end.

Systems that stay reliable under real industrial & edge constraints
Applied AI that helps people reason with complex technical documentation
High-ergonomic tools that make developers and engineering teams effective

Impact

70%

less database storage after moving to event-driven + aggregated time-series

0

data loss recovering corrupted production MongoDB clusters

< 100 MB

RAM footprint of MQTT-GO (vs Electron-based tools)

99.9%+

platform uptime across enterprise deployments

// 01SELECTED WORK

Open-Source Tools & Case Studies

High-throughput industrial telemetry, lightweight network debugging platforms, and vision-based drawing extraction.

Enterprise Case Study// 03

MachineWise

Distributed IoT Ingestion

Industrial telemetry platform cutting time-series DB storage by 70%, architecting zero-loss disaster recovery, and streaming live factory dashboards.

-70%
DB Storage
0
DR Data Loss
STATUS:PRODUCTION SLA
ReactViteNode.jsExpress+4
Read case study
Open Source// 01

MQTT-GO

Desktop Tooling (<100MB)

Ultralight concurrent MQTT client with time-travel debugging, multi-broker streams, and sub-100MB active RAM footprint.

< 100 MB
RAM Footprint
Go + React
Architecture
STATUS:OPERATIONAL
GoReactSQLiteWebSockets+2
Read case study
Open Source// 02

CTQ-Extraction

Multimodal Vision Skill

AI agent skill extracting Critical-To-Quality parameters, GD&T feature control frames, and verbatim tolerances from engineering drawings into validated JSON.

ASME / ISO
Standards
14
GD&T Symbols
STATUS:VERIFIED 14 GD&T
PythonMultimodal LLMsJSON SchemaClaude Code+1
Read case study
Professional work stays professional. Independently maintained open-source and agent tools are showcased above. Employer work is detailed through responsibilities, engineering architecture, and verified metrics—preserving intellectual property and client privacy.
// 02OPERATOR PROFILE & DOMAIN FOUNDATION

Mechanical Foundation Meets Distributed Systems

Bridging factory-floor physical domain expertise with high-throughput streaming pipelines, low-latency microservices, and applied AI.

Ø ~3 YRS EXPR&D LEAD± ZERO DATA LOSS⌖0.1ADWG NO: EGH-2026-DISTRIBUTEDSCALE 1:1DRAWN: E. GHODAKE · MAHARASHTRA, INREV: CSPEC: HIGH-THROUGHPUT · EVENT-DRIVENSHEET 1/1
FIG.01 — OPERATOR SCHEMATICAPPROVED ⌖

I design and scale high-throughput backend microservices, real-time event-driven architectures, and responsive operational dashboards. My engineering background in mechanical systems gives me native fluency in machine kinematics, PLC telemetry, and sensor protocols that generic software engineers often struggle to decode.

Impact is backed by production metrics: re-architecting continuous time-series models to cut storage costs by 70%, engineering automated archive-based disaster recovery pipelines with zero data loss, and sustaining 99.9%+ uptime SLAs across mission-critical enterprise installations.

Tactical Milestones & Architectural Highlights

  • FN-01
    Event-Driven Storage Re-ArchitectureTransitioned continuous time-series into on-change aggregated model (−70% storage, ↑ query throughput).
  • FN-02
    Production Disaster Recovery SystemArchitected daily archive-based backup & restoration pipeline across MongoDB replica sets (zero data loss recovery).
  • FN-03
    Private Container Distribution InfrastructureDeployed internal private Docker registry and multi-environment automated deployment pipeline.
  • FN-04
    C-Suite & Defence Sector DemonstrationsDelivered live architecture showcases to plant heads and executive leadership at IMTEX and MSME Defence Expo.
// 03PROFESSIONAL EXPERIENCE

Engineering Leadership & Track Record

Leading industrial software architecture, event-driven streaming pipelines, and mission-critical production systems.

Engineering Leadership & Core Roles

Software R&D Lead / Manager

Yantramedhavi India Private Ltd. (formerly Wathare Infotech Solutions / MachineWise)•Pune, India
Sep 2026 – Present
  • Technical Architecture & Delivery: Direct end-to-end software architecture and roadmap across high-throughput backend microservices, real-time streaming pipelines, and full-stack web platforms.
  • Engineering Leadership & Mentorship: Lead and mentor engineering teams across backend and frontend development, establishing engineering standards, automated workflows, and rigorous code reviews to maintain zero critical production regressions.
  • Scalability & System Modernization: Drive architectural roadmaps transitioning legacy monolithic services into decoupled, event-driven microservices to improve system throughput, maintainability, and deployment speed.
  • Stakeholder & Client Alignment: Collaborate with enterprise clients and product leadership to translate complex business workflows into scalable REST APIs, WebSocket streaming endpoints, and responsive user interfaces.
  • Operational Governance & Resiliency: Champion root-cause analysis (RCA), production problem-solving, and operational SLAs, ensuring 99.9%+ platform uptime across enterprise distributed deployments.
MicroservicesEvent-DrivenEngineering LeadershipSystem DesignWebSocketsMongoDB

Software Development Engineer II (SDE 2)

Yantramedhavi India Private Ltd.•Pune, India
Jan 2025 – Aug 2026
  • Database Optimization & 70% Cost Reduction: Re-architected continuous time-series data storage into an event-driven (on-change) and aggregated model, slashing database storage consumption by over 70% while boosting query performance.
  • High Availability & Disaster Recovery: Safeguarded mission-critical enterprise data by architecting daily archive-based backup and restoration pipelines across MongoDB replica sets, successfully recovering corrupted production clusters with zero data loss.
  • Real-Time Full-Stack Dashboards: Built responsive web applications using React, Vite, and WebSockets, transforming continuous streaming data into real-time interactive analytics, charting, and actionable operational dashboards.
  • Enterprise ERP Integrations: Designed secure RESTful integration APIs and webhook pipelines connecting real-time platform data with enterprise ERP systems, automating complex business workflows.
  • DevOps & Container Distribution: Implemented an internal private Docker registry and automated container deployment workflows across on-premises and cloud environments, accelerating multi-environment image distribution.
ReactViteMongoDBRedisDocker RegistryWebSockets

Software Development Engineer I (SDE 1)

Yantramedhavi India Private Ltd.•Pune, India
Aug 2023 – Dec 2024
  • High-Throughput Event Streaming: Engineered high-concurrency event-driven microservices using Core Java, MQTT, Redis pub/sub, and optimized MongoDB schemas, processing thousands of real-time streaming events per second.
  • Low-Latency Protocol Services: Developed high-performance device communication services and background daemons in Python and .NET (C#) for sub-second data acquisition, custom protocol normalization, and structured JSON serialization.
  • Edge Microservices & Event Correlation: Built lightweight edge services using Python and MQTT deployed on Linux edge nodes, correlating distributed hardware events and downtime states in real time with centralized backends.
  • REST API & Core Backend Development: Designed and implemented robust RESTful APIs, data validation schemas, and database query layers powering backend operations and telemetry ingestion pipelines.
Core JavaMQTTRedisPython.NET (C#)Linux Edge
Industry Exposure & Technical Presentations
IMTEX Bangalore

Real-Time Streaming Systems & Platform Architecture

2026

Delivered technical product architecture and live platform demonstrations of real-time data streaming systems to C-suite executives and plant heads, articulating scalability, system design, and operational ROI.

Streaming SystemsSystem DesignIndustrial Tech
Maharashtra MSME Defence Expo

Real-Time Data Streaming & Low-Latency Edge Computing

2024

Presented real-time data streaming architectures, low-latency edge computing, and secure systems integration to defence-sector stakeholders and technical leaders.

Edge ComputingSecure IntegrationStreaming
Education & Domain Foundation
2022 – 2023Grade A (77.88%)

Post Graduate Diploma in Advanced Computing (PG-DAC)

IACSD, CDAC Pune

2016 – 2021

Bachelor of Engineering (B.E.) in Mechanical Engineering

RMD Sinhgad College of Engineering

2013 – 2016

Diploma in Mechanical Engineering

Walchand College of Engineering

// 03APPLIED AI IN PRACTICE

AI that fits the real-world workflow.

Grounded in practical engineering: making industrial manuals searchable, running models locally, and turning unstructured drawings into validated structure.

Industrial manual RAG

Retrieval-augmented chat system for querying industrial equipment manuals, connecting language-model responses directly to source documentation with zero external egress.

Vector SearchLocal LLMsAir-Gapped

Local model inference

Optimized inference workflows using Ollama and llama.cpp on edge hardware and local clusters, guaranteeing tight enterprise data boundary compliance.

Ollamallama.cppEdge Compute

LLM-based CTQ extraction

Multimodal agent pipeline extracting Critical-To-Quality tolerances and 14 ASME Y14.5 / ISO 1101 GD&T symbols from engineering drawings into JSON schemas.

Multimodal LLMGD&T SymbolsJSON Schema
// 05WORKSHOP

Open Source & Developer Tooling

Experimental agent skills, local RAG architectures, MCP servers, and lightweight IoT protocol utilities.

use-shadcn

AI agent skill for refactoring legacy UI and building enterprise interfaces with shadcn/ui, Obsidian Dark & High-Contrast Light, capsule geometry

AI SkillsDesign SystemsDeveloper ToolsTypeScriptTailwind CSSshadcn/ui
Open SourceGitHub

dsh-agent-mcp

MCP server connecting Antigravity, Claude and Cursor to DeepSeek Harness for $0-cost autonomous coding and dual-agent verification

AI AgentsDeveloper ToolsTypeScriptPythonMCPDocker
TypeScriptGitHub

Document RAG

1

On-premises RAG engine with local LLM inference, zero cloud data egress, and source-grounded citation

Applied AILocal LLMsRAGPythonFastAPIOllama
PythonGitHub

mqtt-queue

Queuing and logging MQTT topic messages

IoTNetworkingDeveloper ToolsJavaScriptNode.jsMQTT
JavaScriptGitHub
// 06TECHNICAL ARSENAL

Systems & Stack

Core competencies across languages, real-time telemetry protocols, and automated drawing extraction.

Backend & Distributed Systems

GoNode.jsTypeScriptEvent-Driven ArchitectureRedis Pub/SubWebSocketsREST & WebhooksMongoDB (Replica Sets)SQLite

Full-Stack & Frontend

ReactTypeScriptViteAstroTailwind CSSshadcn/uiMotion / Framer MotionApexCharts / DataGrid

Infrastructure & Production Engineering

Docker & Docker ComposeNginx (Reverse Proxy & TLS)Linux / Edge GatewaysCI/CD AutomationDisaster Recovery (NAS DR)VirtualBox / On-Prem DeploymentsTime-Series Aggregation

Industrial IoT & Edge Protocols

MQTT / EMQXEdge Telemetry IngestionTime-Travel DebuggingPython Edge Daemons.NET Controller InterfacingSub-second Factory Telemetry

Applied AI & LLM Engineering

On-Prem RAG PipelinesLocal LLMs (Ollama / llama.cpp)Multimodal Vision (GD&T Extraction)Model Context Protocol (MCP)Autonomous Coding AgentsJSON Schema ValidationChromaDB / Vector Embeddings
// 07HANDSHAKE PROTOCOL

Initiate Contact & Engagement

Whether you want to discuss distributed architectures, industrial IoT telemetry, or applied AI engineering—my terminal and inbox are open.

READY
eklavya@maharashtra:~$ whoami
Senior Software Engineer — Software R&D Lead / Manager
eklavya@maharashtra:~$ cat contact.json
{
"email": "eklavyaghodake@gmail.com",
"phone": "+91 77219 01494",
"location": "Maharashtra, India",
"specialization": "High-Throughput Streaming & Telemetry",
"status": "listening on all interfaces"
}
eklavya@maharashtra:~$ ./open_to --roles --collabs
[OK] Available for engineering leadership & distributed system design.
eklavya@maharashtra:~$
SEND EMAIL
ESTABLISH CONNECTION

Open for Engineering Leadership

Leading high-throughput distributed microservices, factory-floor streaming pipelines, and event-driven architectures.