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Jeremiah J

AI & IoT Developer  ·  Full Stack Engineer

Jeremiah J - AI & IoT Developer
AI
IoT

About Me

Engineering intelligent solutions at the intersection of AI, IoT, and modern web technologies.

I’m Jeremiah J, a B.Tech CSE student at Karunya Institute of Technology and Sciences, focused on building AI-powered systems and real-time IoT solutions.

Currently, I’m developing scalable backend systems and intelligent automation tools, including a deployed AI CRM (LeadSync) and a LoRa-based landslide detection system for early disaster warning.

I specialize in combining AI + real-world systems to create practical, production-ready solutions. I focus on building scalable and production-ready systems.

💡 Key Strengths

  • Building production-ready full-stack systems
  • Integrating AI into real-world applications
  • Designing IoT systems with real-time data pipelines
  • Fast learner with strong problem-solving mindset
B.Tech CSE
Karunya Institute of Technology
AI & ML Systems
Full Stack Development
Production Deployed
IoT Solutions

Skills & Tech

A constantly evolving toolkit built for modern AI, IoT, and full-stack engineering.

Programming

Java85%
C75%
Python90%
JavaScript88%

Web & Backend

Node.js88%
Express85%
MongoDB82%
REST APIs90%
Git / GitHub85%

AI & ML

Sentiment Analysis80%
NLP78%
LLM Integration82%
Whisper (ASR)75%
ML Basics70%

IoT

ESP826685%
LoRa SX127880%
DHT11 / Sensors88%
Blynk78%
ThingSpeak75%

Featured Projects

High-impact projects built with production-grade engineering and real-world deployment.

LeadSync CRM – AI Smart Inbox

An AI-powered CRM platform that transforms how businesses handle inbound leads with real-time messaging across Telegram and Instagram.

AI sentiment scoring (-5 to +5) using Groq Llama-8b
Automatic intent detection (ORDERING, SUPPORT, INQUIRY)
Reduced manual response effort by ~60% (simulated testing)
Microservices backend handling concurrent conversations
Node.jsExpressMongoDBGroq Llama-8bReactVercelRailway
Microservices-based backend with REST APIs and real-time event handling

IoT-Based Landslide Detection System

A life-saving early warning system monitoring environmental conditions using IoT sensors with long-range communication.

Real-time soil moisture, rain & vibration monitoring
Achieved real-time alert latency under 3 seconds
Long-range communication (~2–5 km using LoRa)
Designed for rural deployment with low-power communication
ESP8266LoRa SX1278DHT11ThingSpeakBlynkC++Arduino
Achieved real-time alert latency under 3 seconds for rural disaster warning

Certifications & Awards

Industry-recognized credentials validating expertise in cloud, data, cybersecurity, and innovation.

Microsoft

April 2026

AZ-900

Microsoft Certified: Azure Fundamentals

Demonstrated foundational knowledge of cloud concepts, Azure services, Azure workloads, security, privacy, pricing, and support.

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Oracle

October 2025

OCI DS

Oracle Cloud Infrastructure 2025 Certified Data Science Professional

Validated expertise in Oracle Cloud Infrastructure data science services, machine learning pipelines, and model deployment strategies.

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Cisco

October 2025

Cisco

Virtual Internship Program in Cybersecurity

Completed Cisco's virtual cybersecurity internship covering network security, threat detection, and secure infrastructure design.

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Microsoft

August 2025

DP-900

Microsoft Certified: Azure Data Fundamentals

Demonstrated understanding of core data concepts, relational and non-relational data workloads, and analytics workloads on Azure.

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PSG College of Arts & Science

February 2026

🏆 Runner

IIC Hackathon Challenge 2026 — 2nd Place

Secured 2nd Place at the IIC Hackathon Challenge during GATEWAY'26 National Level Symposium, winning ₹4,000 cash prize for innovative solution development.

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Currently Working On

What I'm actively building and exploring — pushing the boundaries of AI and automation.

Active Development

Scaling LeadSync CRM

Enhancing LeadSync CRM with better AI automation for intelligent lead qualification and real-time messaging.

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Research & Building

Advanced LLM Integrations

Exploring and integrating advanced Large Language Models into real-time systems for smarter data processing.

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Continuous

Full-Stack Systems

Building more scalable, production-ready full-stack applications to solve real-world problems.

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